From ab179652bf7b3504bf4ca4d8cbe6cbb8ee5daf5c Mon Sep 17 00:00:00 2001 From: brandl Date: Wed, 1 Nov 2023 11:16:52 +0100 Subject: [PATCH] finalized call center example --- docs/userguide/docs/articles/callcenter.ipynb | 481 -------------- docs/userguide/docs/articles/img.png | Bin 74227 -> 0 bytes docs/userguide/docs/articles/img_1.png | Bin 105453 -> 0 bytes docs/userguide/docs/examples.md | 1 + docs/userguide/docs/examples/callcenter.ipynb | 602 ++++++++++++++++++ docs/userguide/docs/examples/callcenter.md | 288 +++++++++ .../docs/examples/callcenter_plantronics.jpg | Bin 0 -> 883622 bytes docs/userguide/docs_howto.md | 5 + docs/userguide/mkdocs.yml | 1 + .../org/kalasim/plot/kravis/KravisVis.kt | 17 +- .../kalasim/scratch/callcenter/CallCenter.kt | 60 +- 11 files changed, 944 insertions(+), 511 deletions(-) delete mode 100644 docs/userguide/docs/articles/callcenter.ipynb delete mode 100644 docs/userguide/docs/articles/img.png delete mode 100644 docs/userguide/docs/articles/img_1.png create mode 100644 docs/userguide/docs/examples/callcenter.ipynb create mode 100644 docs/userguide/docs/examples/callcenter.md create mode 100644 docs/userguide/docs/examples/callcenter_plantronics.jpg diff --git a/docs/userguide/docs/articles/callcenter.ipynb b/docs/userguide/docs/articles/callcenter.ipynb deleted file mode 100644 index ab589a06..00000000 --- a/docs/userguide/docs/articles/callcenter.ipynb +++ /dev/null @@ -1,481 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# Call Center\n", - "\n", - "\n", - "Resource planning is the bread and butter of any sucessful business.\n", - "\n", - "The following use-case is adopted from the [simmer mailing list](https://groups.google.com/g/simmer-devel/c/gsr6F7CJQf8/m/euW1ZaU0DAAJ)\n", - "\n", - "Let's assume a customer service chat support, where the arrivals are requests from customers and the customer agents will have to respond to those messages. The process works as such: \n", - "\n", - "* The requests arrive throughout the day and are queued and pooled waiting for an available responder. \n", - "* The responders are available in two shifts, excluding weekends; ideally the two shifts should not have individual queues, since there is already a pooled queue\n", - "* If a responder from Shift A is working on a request but is about to end their shift, they will turnover the request that they are working on to Shift B.\n", - "* Shifts A and B will have different capacities to mimight day/night shift regimes\n", - "\n", - "Except for weekends, since there are no available shifts, so it will be worked on by the first available responder the following week.\n", - "\n", - "Let's initialzie the environment by loading the latest version of kalasim\n" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "source": [], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 3, - "outputs": [], - "source": [ - "@file:Repository(\"*mavenLocal\")\n", - "\n", - "%useLatestDescriptors on\n", - "//%use kalasim(0.12-SNAPSHOT)\n", - "@file:DependsOn(\"com.github.holgerbrandl:kalasim:0.12-SNAPSHOT\")\n", - "@file:DependsOn(\"com.github.holgerbrandl:kravis:0.9.95\")\n", - "\n", - "//%use kravis" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:16:39.490541500Z", - "start_time": "2023-10-31T16:16:38.107189900Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "Import required methods & classes" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "data": { - "text/plain": "Current classpath (65 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- }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - ":classpath\n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:16:39.525939100Z", - "start_time": "2023-10-31T16:16:39.507192700Z" - } - } - }, - { - "cell_type": "code", - "execution_count": 16, - "outputs": [], - "source": [ - "import kotlin.math.roundToInt\n", - "import kravis.GGPlot\n", - "import kravis.SessionPrefs\n", - "import kravis.device.SwingPlottingDevice\n", - "import org.kalasim.*\n", - "import org.kalasim.plot.kravis.display\n", - "import java.awt.Desktop\n", - "import java.awt.Dimension\n", - "import java.nio.file.Files\n", - "import java.time.Instant\n", - "import kotlin.math.max\n", - "import kotlin.time.Duration\n", - "import kotlin.time.Duration.Companion.days\n", - "import kotlin.time.Duration.Companion.hours\n", - "import kotlin.time.Duration.Companion.minutes\n", - "import kotlin.time.DurationUnit\n", - "import org.kalasim.plot.kravis.display\n", - "\n", - "// Configure kravis for visualization because kernel detection seems buggy in jupyter-lib\n", - "kravis.SessionPrefs.OUTPUT_DEVICE = kravis.device.JupyterDevice() // bug in library, \n" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:19:38.114485800Z", - "start_time": "2023-10-31T16:19:38.007488700Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "## Shift System\n", - "\n", - "In particular choosing a shift model & shift capacity planning are key for many successful business operations. Because of complex dynamics and interplay, it's often very hard to work out the capacity and bottlenecks in such systems on paper.\n", - "\n", - "Let's try to model the process described above using kalasim. First, we load the library and import the core functions with" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "**Note**: Notebook execution is currently blocked by https://github.com/Kotlin/kotlin-jupyter/issues/355\n", - "\n", - "Next, we work out the model\n", - "* Shifts are modelled as enums\n", - "* The shift system is modelled using a [sequence builder](https://kotlinlang.org/docs/sequences.html)\n", - "* Requests are modelled as `Component` to add the it to the request queue\n", - "* The buisness process is modelled as component as well\n", - "* All entities are bound into a simulation of type `CallCenter` for easy experimentation" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2023-10-31T16:16:40.555848600Z", - "start_time": "2023-10-31T16:16:39.707204700Z" - } - }, - "outputs": [], - "source": [ - "\n", - "enum class ShiftID { A, B, WeekEnd }\n", - "\n", - "val shiftModel = sequence {\n", - " while(true) {\n", - " repeat(5) { yield(ShiftID.A); yield(ShiftID.B) }\n", - " yield(ShiftID.WeekEnd)\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "source": [ - "Now we model the requests as simulation entities. Each request is modelled as component with a dedicated small lifecycle where the callcenter agent is [request](component.md#request)ed. The actual process time varies (exponentially distributed) around 2 minutes. " - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 28, - "outputs": [], - "source": [ - "class Request : Component() {\n", - " val callCenter = get()\n", - "\n", - " override fun process() = sequence {\n", - " request(callCenter, capacityLimitMode = CapacityLimitMode.SCHEDULE) {\n", - " // model requests with static duration for now once they got hold of an operator\n", - "// hold(1.minutes)\n", - " hold(exponential(30.minutes).sample())\n", - " }\n", - " }\n", - "}" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:44:27.991403600Z", - "start_time": "2023-10-31T16:44:27.731450Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "Finally we need to model the call center manager to modulate the shift (or in simulation speak [resource](resources.md)) capacity dynamically." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 29, - "outputs": [], - "source": [ - "class ShiftManager : Component() {\n", - " val shiftIt = shiftModel.iterator()\n", - " val callCenter = get()\n", - "\n", - " override fun repeatedProcess() = sequence {\n", - " val currentShift = shiftIt.next()\n", - "\n", - " log(\"starting new shift ${currentShift}\")\n", - "\n", - " // adjust shift capacity at the beginning of the shift\n", - " callCenter.capacity = when(currentShift) {\n", - " ShiftID.A -> 2.0\n", - " ShiftID.B -> 8.0\n", - " ShiftID.WeekEnd -> 0.0\n", - " }\n", - "\n", - " // wait for end of shift\n", - " hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours)\n", - " }\n", - "}" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:44:29.419002300Z", - "start_time": "2023-10-31T16:44:29.173719200Z" - } - } - }, - { - "cell_type": "markdown", - "source": [ - "Finally, we bring everything together in a simulation [environment](basics.md#simulation-environment). To allow for easy experimentation with different configuration and decision policies, we keep the shift manager abstract, forcing the simulationee to bring in a specific implementation to run an experiment." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 30, - "outputs": [], - "source": [ - "abstract class CallCenter(val interArrivalRate: Duration = 10.minutes, logEvents: Boolean = false) :\n", - " Environment(\n", - " enableComponentLogger = logEvents,\n", - " // note tick duration is just needed here to simplify visualization\n", - " tickDurationUnit = DurationUnit.HOURS\n", - " ) {\n", - "\n", - " // intentionally not defined at this point\n", - " abstract val shiftManager: Component\n", - "\n", - " val callCenter = dependency { Resource(\"Call Center\") }\n", - "\n", - " init {\n", - " ComponentGenerator(iat = exponential(interArrivalRate)) { Request() }\n", - " }\n", - "}" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-31T16:44:32.704573200Z", - "start_time": "2023-10-31T16:44:32.516626500Z" - } - } - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's run the unit for 1000 hours" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "ExecuteTime": { - "end_time": "2023-10-31T16:44:36.856098400Z", - "start_time": "2023-10-31T16:44:36.190045200Z" - } - }, - "outputs": [], - "source": [ - "val sim = object : CallCenter() {\n", - " override val shiftManager = ShiftManager()\n", - "}\n", - "\n", - "sim.run(30.days)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To understand the dynamics of the model we could now try inpspecting its progression. First we check out the queue length" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "ExecuteTime": { - "end_time": "2023-10-31T16:44:43.255326Z", - "start_time": "2023-10-31T16:44:39.704822200Z" - } - }, - "outputs": [ - { - "data": { - "image/jpeg": 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- }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sim.callCenter.requesters.queueLengthTimeline.display()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Shift Handover Precision\n", - "\n", - "Clearly, this first version has the limitation, that tasks that overlap with a shift-change, do not immediately respect changes in capacity. That is, when changing from a shift with high to a shift with less capacity, ongoing tasks will be completed irrespective of the reduced capacity.\n", - "\n", - "It's not straightforward to cancel these tasks to request them again in the next shift. This is because, a `release()` will - by design - check if new requests could be honored. So ongoing claims could be released easily, but requesting them again - even with higher priority - will cause them to be processed slightly after the immediatly honored request queue sucessors.\n", - "\n", - "To solve the problem elegantly, we can use two other interactions namely `interrupt()` and `standby()`. With `interrupt()` we stop all ongoing tasks at a shift change. With `standby()` we can schedule process continauation in the next simulation cycle.\n", - "\n", - "For the revised model we just need to model another `ShiftManager` with our revised hand-over process:" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "ExecuteTime": { - "end_time": "2023-10-31T16:44:43.813683700Z", - "start_time": "2023-10-31T16:44:43.205877200Z" - } - }, - "outputs": [], - "source": [ - "class InterruptingShiftManager : Component() {\n", - " val shiftIt = shiftModel.iterator()\n", - " val callCenter = get()\n", - "\n", - " override fun repeatedProcess() = sequence {\n", - " val currentShift = shiftIt.next()\n", - "\n", - " log(\"starting new shift $currentShift\")\n", - "\n", - " // adjust shift capacity at the beginning of the shift\n", - " callCenter.capacity = when(currentShift) {\n", - " ShiftID.A -> 2.0\n", - " ShiftID.B -> 8.0\n", - " ShiftID.WeekEnd -> 0.0\n", - " }\n", - "\n", - " // complete hangover calls from previous shift\n", - " fun shiftLegacy() = callCenter.claimers.components.filter { it.isInterrupted }\n", - "\n", - " // incrementally resume interrupted tasks while respecting new capacity\n", - " while(shiftLegacy().isNotEmpty() && callCenter.capacity > 0) {\n", - " val numRunning = callCenter.claimers.components.count { it.isScheduled }\n", - " val spareCapacity = max(0, callCenter.capacity.roundToInt() - numRunning)\n", - "\n", - " // resume interrupted tasks from last shift to max out new capacity\n", - " shiftLegacy().take(spareCapacity).forEach { it.resume() }\n", - "\n", - " standby()\n", - " }\n", - "\n", - " // wait for end of shift\n", - " hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours)\n", - "\n", - " // stop and reschedule the ongoing tasks\n", - " callCenter.claimers.components.forEach {\n", - " // detect remaining task time and request this with high prio so\n", - " // that these tasks are picked up next in the upcoming shift\n", - " it.interrupt()\n", - " }\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now instantiate a new call center with the improved hand-over process" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "ExecuteTime": { - "end_time": "2023-10-31T16:44:49.270040500Z", - "start_time": "2023-10-31T16:44:45.854767700Z" - } - }, - "outputs": [ - { - "data": { - "image/jpeg": 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8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VSTo5mYhGI45A9qX7XJ6L+VPluHjlKgLgetAFfypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAH7W+xbdp3emPeq/lSf3G/KrfnN9m8zA3f/AF6h+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Ko59SW2t5Li4kiihiUvJJIdqooGSSScAAd6APnv4weIIvF3i7TvBWm+Z59vepA0xuB5DTSYXDIoJJQkDdnKkyDb3r3TRtBs/D+kwaXpdo1vZQbvLj3M+3cxY8sSepJ61478HXk1T4qeLfEkMMdvEyuksBuRPiWaUOdrqArJmJ8Ediv3ute7fa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflUkCOJlJRgOeSPal+1yei/lT4rh5JQpC4PpQBX8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgD5407TI9M/ame2h8xg881wd/J3S2rSMOAOMuce2OvWvY/F/irT/BOif2rqy3BhaVYY0hj3O7nJwMkDoGPJHT1wD49qOrR6Z+1Ul5MjMHnhtwEGfmltViU8kcZcE+2evStv9o3WW/4R7RdKaEEXF09z5obG3y024x3z5uc542+/AAniP4manL8QvB+m6HdpDpuorZzXMRjRpSJ3B2PndtPllThcH585PGOe+N3j/Tdaj/4Raxhnaawvy1zcONqB0VkKKOp5ZgScfd4yDmvLG8Q6m2qadqfnxi805IUtpVgjUqIceXuwuHICqMtkkAA5Aq74T0abxp44sdNubmRnvrhnuZ3kJdlALyHcQcuQGwSDyRmgD3P4K+PV1/SrfwvcQTnUdOtSRMAvlvAjKqDjBDAMq4wchck5OK0/jfqCad8N54Li0llS/uEtgVk8sxsAZFblTkZjGV4yCeR1ryvTLC1+F3x4sYbqWY6dDLiG4nUJmOaIoGJJAKqzkMw4+RjgdK7L9o7V7j+xtC0vZF5E9xLcM2DuDRqFUDnGMStnjsPxAPI/E/gyfwx4c8N6lPKsjazbtcrsY4RcIVXBUc4cEtk5LEYG3c32L5Un9xvyr5s+LUhfwB8NVIGF0sgY/wCuVvXrHwY8TTaz8NrGOQs82nM1i7OgUEJgoBjqBGyDJ5yD16kA7vypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAZHG4lQlGxkdqkukZpQVUkY7ChLp2dVIXBOKfPO0ThVAxjPNAFbypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435Vn63f/2Lol5qUixAW8RZRPMsCO/RVMjfKu5iFyfWtX7XJ6L+VeQ/tA+KJbPwpa6GIm26o7M0iOAAImjbawKkkEsDwVIKjkjIIBg/BnSdY8V+JJ/HOtXhvxbebawmSVzJHMQrHaoG0JtlcBc4BbhRwa938qT+435VieCdHfwj4M0zQ96yPaxHzHzkGRmLvg4Hy7mbHGcYzzXQfa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoATY/2bGxs784x7VH5Un9xvyqx9ofyN+Fzux+lM+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAfPfgOdtK/aJ8Q2V3bXCT38t5HEpTGMyecGIODtKISCM5yOxzXv8A5Un9xvyr5/1HVo9M/aqS8mRmDzw24CDPzS2qxKeSOMuCfbPXpX0L9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflU1qjLKSykDHcUn2uT0X8qkgnaVyrAYxnigCCSNzK5CNjJ7U3ypP7jflUz3Tq7KAuAcUn2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Ufa5PRfyoAi8qT+435UeVJ/cb8ql+1yei/lR9rk9F/KgCLypP7jflR5Un9xvyqX7XJ6L+VH2uT0X8qAIvKk/uN+VHlSf3G/Kpftcnov5Vg+MPGkHg7w1c6xdxrL5eEigDhWmkJwFBJ+pOMkAE4OMUAeQ+AxLrH7QXiGXUJLi6l037Z9kMsrN5AE+wKozwoWRwF6DPTNe7+VJ/cb8q8K+C1w2ufEzxT4qtoBbW80TeZbyS+Y6yTyCTghVBXMb+hGVHPJr3r7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qkmRz5eEY4QDpS/a5PRfyp8lw6bMBeVBoAr+VJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5UAReVJ/cb8qPKk/uN+VS/a5PRfyo+1yei/lQBF5Un9xvyo8qT+435VL9rk9F/Kj7XJ6L+VAEXlSf3G/KjypP7jflUv2uT0X8qPtcnov5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- }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "val intSim = object: CallCenter() {\n", - " override val shiftManager = InterruptingShiftManager()\n", - "}\n", - " \n", - "intSim.run(30.days)\n", - "\n", - "intSim.callCenter.requesters.queueLengthTimeline\n", - " .display(\"Request queue length with revised handover process\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notably, this model has the almost the same dynamics, but is more correct during shift handover." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Kotlin", - "language": "kotlin", - "name": "kotlin" - }, - "language_info": { - "codemirror_mode": "text/x-kotlin", - "file_extension": ".kt", - "mimetype": "text/x-kotlin", - "name": "kotlin", - "nbconvert_exporter": "", - "pygments_lexer": "kotlin", - "version": "1.6.20-dev-6372" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git 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Here solved 4 times in different ways using different `kalasim` models. * [Dining Philosophers](examples/dining_philosophers.md) - Philosophers sit at a round table with bowls of spaghetti and try to eat. It ain't easy... * [Office Tower](examples/office_tower.md) - A busy office building, where workers need to get from floor to floor using a limited number of elevators. +* [Call Center](examples/office_tower.md) - A support center sizing analysis to figure the correct number of support technicians before failing the business in real life. diff --git a/docs/userguide/docs/examples/callcenter.ipynb b/docs/userguide/docs/examples/callcenter.ipynb new file mode 100644 index 00000000..edd85833 --- /dev/null +++ b/docs/userguide/docs/examples/callcenter.ipynb @@ -0,0 +1,602 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "# Call Center\n", + "\n", + "Resource planning is the bread and butter of any successful business.\n", + "\n", + "\n", + "Let's take a glimpse into the near future where kalasim has taken up a dominant role in the simulation industry. Hundreds of happy customers are utilizing the support hotline 24/7 from around the globe to obtain professional simulation assistance. Envision a customer service department, where a steady stream of customer requests come in, and the customer service agents are tasked with addressing these inquiries.\n", + "\n", + "\n", + "![Vintage Gas Pump](callcenter_plantronics.jpg){: .center}\n", + "\n", + "

\n", + "Call Center (©Plantronics, CC BY-SA 3.0)\n", + "

\n", + "\n", + "\n", + "\n", + "Choosing an appropriate shift model and planning shift capacity are key this - and any successful - business operations. Due to the complex dynamics and interplay, it's often very challenging to determine capacity and pinpoint bottlenecks in such systems on paper.\n", + "\n", + "Here is how the envisioned call center functions:\n", + "\n", + "* The requests arrive throughout the day and are queued and pooled, waiting for an available responder.\n", + "* The responders are available in two shifts, excluding weekends. Ideally, the two shifts should not have separate queues since there is already a pooled queue.\n", + "* If a responder from Shift A is working on a request but is about to end their shift, they will hand over the request they are working on to Shift B.\n", + "* Shifts A and B will have different capacities to mimic day/night shift regimes.\n", + "\n", + "Except for weekends, when there are no available shifts, the first available responder the following week will handle the unattended requests." + ] + }, + { + "cell_type": "markdown", + "source": [ + "To get started, let's initialize the environment by loading the latest version of kalasim:" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:06.845229Z", + "iopub.status.busy": "2023-10-31T22:29:06.830093Z", + "iopub.status.idle": "2023-10-31T22:29:12.267650Z", + "shell.execute_reply": "2023-10-31T22:29:12.267650Z" + } + }, + "outputs": [], + "source": [ + "@file:Repository(\"*mavenLocal\")\n", + "\n", + "%useLatestDescriptors on\n", + "\n", + "@file:DependsOn(\"com.github.holgerbrandl:kalasim:0.12-SNAPSHOT\")\n", + "@file:DependsOn(\"com.github.holgerbrandl:kravis:0.9.95\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:17.559094100Z", + "start_time": "2023-10-31T22:17:17.517076500Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:12.267650Z", + "iopub.status.busy": "2023-10-31T22:29:12.267650Z", + "iopub.status.idle": "2023-10-31T22:29:12.488148Z", + "shell.execute_reply": "2023-10-31T22:29:12.488148Z" + } + }, + "outputs": [], + "source": [ + "import kotlin.math.roundToInt\n", + "import kravis.GGPlot\n", + "import kravis.SessionPrefs\n", + "import kravis.device.SwingPlottingDevice\n", + "import org.kalasim.*\n", + "import org.kalasim.plot.kravis.display\n", + "import java.awt.Desktop\n", + "import java.awt.Dimension\n", + "import java.nio.file.Files\n", + "import java.time.Instant\n", + "import kotlin.math.max\n", + "import kotlin.time.Duration\n", + "import kotlin.time.Duration.Companion.days\n", + "import kotlin.time.Duration.Companion.hours\n", + "import kotlin.time.Duration.Companion.minutes\n", + "import kotlin.time.DurationUnit\n", + "import org.kalasim.plot.kravis.display\n", + "\n", + "// Configure kravis for visualization because kernel detection seems buggy in jupyter-lib\n", + "kravis.SessionPrefs.OUTPUT_DEVICE = kravis.device.JupyterDevice() // bug in library, \n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "\n", + "## Shift System\n", + "\n", + "To engineer a discrete event simulation for this particular business process, we begin by implementing the shift system. Technically, we use a [sequence builder](https://kotlinlang.org/docs/sequences.html) to create a weekly shift sequence that is repeated, allowing the subsequent model to run indefinitely." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:17.654078100Z", + "start_time": "2023-10-31T22:17:17.560076700Z" + }, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:12.488148Z", + "iopub.status.busy": "2023-10-31T22:29:12.488148Z", + "iopub.status.idle": "2023-10-31T22:29:12.894398Z", + "shell.execute_reply": "2023-10-31T22:29:12.894398Z" + } + }, + "outputs": [], + "source": [ + "enum class ShiftID { A, B, WeekEnd }\n", + "\n", + "val shiftModel = sequence {\n", + " while(true) {\n", + " repeat(5) { yield(ShiftID.A); yield(ShiftID.B) }\n", + " yield(ShiftID.WeekEnd)\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "## Customer Inquiries\n", + "\n", + "Now, we model the customer requests as simulation entities. Each request is modelled as a [`Component`](../component.md) with a dedicated small lifecycle where the call center agent is [request](../component.md#request)ed. The actual process time varies; it is exponentially distributed with an average of around 25 minutes." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:17.760110300Z", + "start_time": "2023-10-31T22:17:17.655081500Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:12.910025Z", + "iopub.status.busy": "2023-10-31T22:29:12.910025Z", + "iopub.status.idle": "2023-10-31T22:29:13.337076Z", + "shell.execute_reply": "2023-10-31T22:29:13.337076Z" + } + }, + "outputs": [], + "source": [ + "class Request : Component() {\n", + " val callCenter = get()\n", + "\n", + " override fun process() = sequence {\n", + " request(callCenter, capacityLimitMode = CapacityLimitMode.SCHEDULE) {\n", + " hold(exponential(25.minutes).sample())\n", + " }\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "## Shift Manager\n", + "\n", + "Next, we need to model the call center manager to modulate the shift (or in simulation speak [resource](resources.md)) capacity dynamically." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:17.890080100Z", + "start_time": "2023-10-31T22:17:17.761079500Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:13.347076Z", + "iopub.status.busy": "2023-10-31T22:29:13.346076Z", + "iopub.status.idle": "2023-10-31T22:29:13.823074Z", + "shell.execute_reply": "2023-10-31T22:29:13.821073Z" + } + }, + "outputs": [], + "source": [ + "class ShiftManager : Component() {\n", + " val shiftIt = shiftModel.iterator()\n", + " val callCenter = get()\n", + "\n", + " override fun repeatedProcess() = sequence {\n", + " val currentShift = shiftIt.next()\n", + "\n", + " log(\"starting new shift ${currentShift}\")\n", + "\n", + " // adjust shift capacity at the beginning of the shift\n", + " callCenter.capacity = when(currentShift) {\n", + " ShiftID.A -> 2.0\n", + " ShiftID.B -> 5.0\n", + " ShiftID.WeekEnd -> 0.0\n", + " }\n", + "\n", + " // wait for end of shift\n", + " hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours)\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "## Simulation Environment\n", + "\n", + "Finally, we integrate everything into a simulation [environment](basics.md#simulation-environment) for easy experimentation. To facilitate convenient experimentation with various configurations and decision policies, we maintain the Shift Manager as an abstract entity, obliging the simulator to incorporate a specific implementation to conduct an experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:17.991079800Z", + "start_time": "2023-10-31T22:17:17.892079100Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:13.829076Z", + "iopub.status.busy": "2023-10-31T22:29:13.828075Z", + "iopub.status.idle": "2023-10-31T22:29:14.097768Z", + "shell.execute_reply": "2023-10-31T22:29:14.097768Z" + } + }, + "outputs": [], + "source": [ + "abstract class CallCenter(\n", + " val interArrivalRate: Duration = 10.minutes,\n", + " logEvents: Boolean = false\n", + ") :\n", + " Environment(\n", + " enableComponentLogger = logEvents,\n", + " // note tick duration is just needed here to simplify visualization\n", + " tickDurationUnit = DurationUnit.HOURS\n", + " ) {\n", + "\n", + " // intentionally not defined at this point\n", + " abstract val shiftManager: Component\n", + "\n", + " val serviceAgents = dependency { Resource(\"Service Agents\") }\n", + "\n", + " init {\n", + " ComponentGenerator(iat = exponential(interArrivalRate)) { Request() }\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's run the unit for 1000 hours" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:18.199078800Z", + "start_time": "2023-10-31T22:17:17.992077100Z" + }, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:14.113391Z", + "iopub.status.busy": "2023-10-31T22:29:14.113391Z", + "iopub.status.idle": "2023-10-31T22:29:14.849179Z", + "shell.execute_reply": "2023-10-31T22:29:14.849179Z" + } + }, + "outputs": [], + "source": [ + "val sim = object : CallCenter() {\n", + " override val shiftManager = ShiftManager()\n", + "}\n", + "\n", + "sim.run(30.days)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To understand the dynamics of the model, we could now try inpspecting its progression. First we check out the queue length" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:20.663424600Z", + "start_time": "2023-10-31T22:17:18.200094500Z" + }, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:14.849179Z", + "iopub.status.busy": "2023-10-31T22:29:14.849179Z", + "iopub.status.idle": "2023-10-31T22:29:17.562820Z", + "shell.execute_reply": "2023-10-31T22:29:17.562820Z" + } + }, + "outputs": [ + { + "data": { + "image/jpeg": 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YdAa4v9n2yuV+HtzK0EixzajI8TMMB12Rrlc9RlWGR3BHagD1Gipfs0v9z9RR9ml/ufqKAIqKl+zS/wBz9RR9ml/ufqKAIqKl+zS/3P1FH2aX+5+ooAioqX7NL/c/UUfZpf7n6igCKipfs0v9z9RR9ml/ufqKAIqKl+zS/wBz9RR9ml/ufqKAIqKl+zS/3P1FH2aX+5+ooAip8X+tT/eFO+zS/wBz9RTkglEikrwCO4oAjl/1r/7xplTvBKZGIXgk9xTfs0v9z9RQBFRUv2aX+5+oo+zS/wBz9RQBFRUv2aX+5+oo+zS/3P1FAEVFS/Zpf7n6ij7NL/c/UUARUVL9ml/ufqKPs0v9z9RQBFRUv2aX+5+oo+zS/wBz9RQBFRUv2aX+5+oo+zS/3P1FAEVFS/Zpf7n6ij7NL/c/UUARUVL9ml/ufqKPs0v9z9RQBFRUv2aX+5+oo+zS/wBz9RQBFRUv2aX+5+oo+zS/3P1FAEVFS/Zpf7n6ij7NL/c/UUARUVL9ml/ufqKPs0v9z9RQBFRUv2aX+5+oo+zS/wBz9RQA+0/1p/3auVWt4njkJZcDHrVmgAooooAKKKKACiiigAooooAKKKKACiiigCG6/wCPOf8A65t/KuB+Dn/IqXf/AF+t/wCgJXf3ILWswAJJRgAO/FcT8KNPvdO8M3UV9aXFrI12zBJ4yhI2LzgjpwaI7y9F+YS2Xr+hT+JZMHiDwpdtgRx3fJPQfMh/oa9HrnPGvhn/AISjQWtYnWO7ibzbd26Bh2PsRxXLQ+LvG9jZjTrjwncXF+g2C7AYxk9idoKn6hgKSelge9yTRGNz8a9blTlIrbYx9CBGMfmKXwATB448XWr4DtcbwPYO/wD8UK1vAfhe70WG81HVmD6tqD75sEHYMk4yOMkkk446elZ3iXQ9b0XxV/wlPhuAXJlTbeWg6uOOQO+cDpyCM88017vKn2sD95O3f8jqPF8wg8H6xIxwPski/iVIH86y/hlG0fgLT9wxuMjD6b2rmtVvPF3jyJNITQJtHsXZTcy3O7kA5/iVcjocAE8DnFek6bYQ6VpltYW4xFbxiNc9Tjv9TQtLvuDd7Ira54e0vxJZJZ6va/abdJBKqeYyYYAgHKkHoxrn/wDhVHgn/oC/+TU3/wAXXZ0UAUPtMv8Af/QUfaZf7/6CoqKAJftMv9/9BR9pl/v/AKCoqKAJftMv9/8AQUfaZf7/AOgqKigCX7TL/f8A0FH2mX+/+gqKigCX7TL/AH/0FH2mX+/+gqKigCX7TL/f/QUfaZf7/wCgqKigCX7TL/f/AEFH2mX+/wDoKiooAl+0y/3/ANBR9pl/v/oKiooAl+0y/wB/9BR9pl/v/oKiooAl+0y/3/0FSTTSJMyq2APaq1S3P+vb8P5UAH2mX+/+go+0y/3/ANBUVFAEv2mX+/8AoKPtMv8Af/QVFRQBL9pl/v8A6Cj7TL/f/QVFRQBL9pl/v/oKPtMv9/8AQVFRQBL9pl/v/oKPtMv9/wDQVFRQBL9pl/v/AKCj7TL/AH/0FRUUAS/aZf7/AOgo+0y/3/0FRUUAS/aZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+go+0y/3/wBBUVFAEv2mX+/+go+0y/3/ANBUVFAEv2mX+/8AoKPtMv8Af/QVFRQBL9pl/v8A6Cj7TL/f/QVFRQBL9pl/v/oKPtMv9/8AQVFRQBd8x/sm/PzeuPeq/wBpl/v/AKCpf+XD/PrVWgCX7TL/AH/0FH2mX+/+gqKigCX7TL/f/QUfaZf7/wCgqKigCX7TL/f/AEFH2mX+/wDoKiooAl+0y/3/ANBR9pl/v/oKiooAl+0y/wB/9BR9pl/v/oKiooAl+0y/3/0FH2mX+/8AoKiooAl+0y/3/wBBR9pl/v8A6CoqKAPn3476rN4k8YaX4b021nvL3T4nZ0gjZ3LyBW2hQvOERWyM/e7YNfQ/2mX+/wDoK8E/5uu/z/z417tQBL9pl/v/AKCj7TL/AH/0FRUUAS/aZf7/AOgo+0y/3/0FRUUAS/aZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+go+0y/3/wBBUVFAEv2mX+/+gqSGaR5lVmyD7VWqW2/16/j/ACoAPtMv9/8AQUfaZf7/AOgqKigCX7TL/f8A0FH2mX+/+gqKigCX7TL/AH/0FH2mX+/+gqKigCX7TL/f/QUfaZf7/wCgqKigCX7TL/f/AEFH2mX+/wDoKiooAl+0y/3/ANBR9pl/v/oKiooAl+0y/wB/9BR9pl/v/oKiooAl+0y/3/0FH2mX+/8AoKiooAl+0y/3/wBBR9pl/v8A6CoqKAJftMv9/wDQUfaZf7/6CoqKAJftMv8Af/QUfaZf7/6CoqKAJftMv9/9BR9pl/v/AKCoqKAPL/Cvwch8KeMrDXrTWN8dn5oWBrY75A6uoLvvI3AOBlVUHaOASTXqv2mX+/8AoKiooAl+0y/3/wBBR9pl/v8A6CoqKAJftMv9/wDQUfaZf7/6CoqKAPl/4owXvgn4uTatpFx9knuCuo28kLksrPkPu3cfM6yErypVsdOK9X+Bet6rqvgm9n1LUru9mXUXRZLqZpWC+XGcAsScZJ49zXJftB+HsfYfEvmZz5dhs3Y2482TOMfNnPqNu3o275bH7Ol7cPYeILFpM20MsE0aYHDuHDHPXkRp+XuaAPdUnlMigtwSOwqS4leOQBWwMelV4v8AWp/vCpbv/Wj/AHaAGfaZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+go+0y/3/wBBUVFAEv2mX+/+go+0y/3/ANBUVFAEv2mX+/8AoKPtMv8Af/QVFRQB4Z8Yrk+MfH+g+ELZ4JJY5VSR44JWntTJtLkjhGTy9j8ZI2NkqOvvH2mX+/8AoK8E8Bl9X/aB8QzajNPdSad9s+xmWVm8kCfYFXn7oWRwF6DPSvdqAJftMv8Af/QUfaZf7/6CoqKAJftMv9/9BR9pl/v/AKCoqKAJftMv9/8AQUfaZf7/AOgqKigCX7TL/f8A0FH2mX+/+gqKigCX7TL/AH/0FH2mX+/+gqKigCX7TL/f/QUfaZf7/wCgqKigCX7TL/f/AEFH2mX+/wDoKiooAl+0y/3/ANBR9pl/v/oKiooAs+dJ9n3bvm34zj2qP7TL/f8A0FH/AC6/8D/pUVAEv2mX+/8AoKPtMv8Af/QVFRQBL9pl/v8A6Cj7TL/f/QVFRQBL9pl/v/oKPtMv9/8AQVFRQBL9pl/v/oKPtMv9/wDQVFRQBL9pl/v/AKCj7TL/AH/0FRUUAS/aZf7/AOgo+0y/3/0FRUUAS/aZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+grkfiV4Zfxp4Ju9NUbryL/SbPt++UHA6gfMCy5JwN2e1dTRQB8eeAdFtfE/jPRtEuo0WGSd5JpBu3Sxqm8xnDAAEIQCMEbycnAA+yPtMv8Af/QV494B+EFz4S8cNq91Na3FpBAyWhWVzKJSApcrtCgFTJ8uW27gMsRur1ygCX7TL/f/AEFH2mX+/wDoKiooAl+0y/3/ANBUc5F1by29wkc0EqFJI5EDK6kYIIIwQRxikooA+cv2eLu4h8balBHNIsMmnM7xhvlZlkjCkjoSAzYPbcfWvpL7TL/f/QV8+6BFcaB+03fWMNzvjvZZ2mPlgbkkiNwF5zjDbeRjO3tkivfaAJftMv8Af/QVNbyvJIQzZGPSqlWLT/Wn/doAR55RIwDcAnsKb9pl/v8A6Cmy/wCtf/eNMoAl+0y/3/0FH2mX+/8AoKiooAl+0y/3/wBBR9pl/v8A6CoqKAJftMv9/wDQUfaZf7/6CoqKAJftMv8Af/QUfaZf7/6CoqKAJftMv9/9BR9pl/v/AKCoqKAJftMv9/8AQUfaZf7/AOgqKigCX7TL/f8A0FeD/G6ebxB498M+FJRBHHN5Rju9jGSIzSmNhjcFK/IhxjOV6jJr3OvCfiUUk+O3hB45oH2S2cLokqs8bi4LYZQdy/K6kZAznjODQB739pl/v/oKPtMv9/8AQVFRQBL9pl/v/oKPtMv9/wDQVFRQBL9pl/v/AKCj7TL/AH/0FRUUAS/aZf7/AOgo+0y/3/0FRUUAS/aZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+gqSWaRdmG6oCeKrVLP/AMs/9wUAH2mX+/8AoKPtMv8Af/QVFRQBL9pl/v8A6Cj7TL/f/QVFRQBL9pl/v/oKPtMv9/8AQVFRQBL9pl/v/oKPtMv9/wDQVFRQBL9pl/v/AKCj7TL/AH/0FRUUAS/aZf7/AOgo+0y/3/0FRUUAS/aZf7/6Cj7TL/f/AEFRUUAS/aZf7/6Cj7TL/f8A0FRUUAS/aZf7/wCgo+0y/wB/9BUVFAEv2mX+/wDoKPtMv9/9BUVFAEv2mX+/+grI8U6PH4q8Mahol3Jtiu4tofGdjghkbAIztYKcZ5xg8VpUUAeEfs33aQ3HiO3EyLNItu6xkjcyqZASB1IBZcn/AGh61759pl/v/oK+a/hGIvDPxm1DRJHedyt1p8cqoFDNG4bcRngERN0zyR9a9j8deP8ATPAdpZy30M9xLdy7Y4YRzsUjzGyePlDDA7kgcDJAB2P2mX+/+grzbxP8Yl8O/ESy8N+RBJbN5aXtzJL5X2d5GXByVxtVDuPruHK7TnY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+ }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim.serviceAgents.requesters.queueLengthTimeline.display()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Model Accuracy During Shift Handover \n", + "\n", + "Clearly, this first version has the limitation that tasks overlapping with a shift-change do not immediately respect changes in capacity. That is, when shifting from a highly-staffed shift to a lesser-staffed shift, ongoing tasks will be completed regardless of the reduced capacity.\n", + "\n", + "It's not straightforward to cancel these tasks and request them again in the next shift. This is because a `release()` will, by design, check if new requests could be served. So, ongoing tasks could be easily released, but re-requesting them - even with higher priority - would lead them to be processed slightly later than the requests that were immediately approved.\n", + "\n", + "To elegantly solve this problem, we can use two other methods - `interrupt()` and `standby()`. With `interrupt()`, we can stop all ongoing tasks at a shift change. With `standby()`, we can schedule process continuation in the next simulation cycle.\n", + "\n", + "For the revised model, we just need to create a different `ShiftManager` with our revised handover process:" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:21.082424100Z", + "start_time": "2023-10-31T22:17:20.655430100Z" + }, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:17.562820Z", + "iopub.status.busy": "2023-10-31T22:29:17.562820Z", + "iopub.status.idle": "2023-10-31T22:29:18.269095Z", + "shell.execute_reply": "2023-10-31T22:29:18.269095Z" + } + }, + "outputs": [], + "source": [ + "class InterruptingShiftManager(\n", + " val aWorkers: Double = 2.0,\n", + " val bWorkers: Double = 5.0\n", + ") : Component() {\n", + " val shiftIt = shiftModel.iterator()\n", + " val serviceAgents = get()\n", + "\n", + " override fun repeatedProcess() = sequence {\n", + " val currentShift = shiftIt.next()\n", + "\n", + " log(\"starting new shift $currentShift\")\n", + "\n", + " // adjust shift capacity at the beginning of the shift\n", + " serviceAgents.capacity = when(currentShift) {\n", + " ShiftID.A -> aWorkers\n", + " ShiftID.B -> bWorkers\n", + " ShiftID.WeekEnd -> 0.0\n", + " }\n", + "\n", + " // complete hangover calls from previous shift\n", + " fun shiftLegacy() = serviceAgents.claimers.components\n", + " .filter { it.isInterrupted }\n", + "\n", + " // incrementally resume interrupted tasks while respecting new capacity\n", + " while(shiftLegacy().isNotEmpty() && serviceAgents.capacity > 0) {\n", + " val numRunning = serviceAgents.claimers.components\n", + " .count { it.isScheduled }\n", + " val spareCapacity = \n", + " max(0, serviceAgents.capacity.roundToInt() - numRunning)\n", + "\n", + " // resume interrupted tasks from last shift to max out new capacity\n", + " shiftLegacy().take(spareCapacity).forEach { it.resume() }\n", + "\n", + " standby()\n", + " }\n", + "\n", + " // wait for end of shift\n", + " hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours)\n", + "\n", + " // stop and reschedule the ongoing tasks\n", + " serviceAgents.claimers.components.forEach {\n", + " // detect remaining task time and request this with high prio so\n", + " // that these tasks are picked up next in the upcoming shift\n", + " it.interrupt()\n", + " }\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now instantiate a new call center with the improved hand-over process" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:22.180429700Z", + "start_time": "2023-10-31T22:17:21.067427600Z" + }, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:18.269095Z", + "iopub.status.busy": "2023-10-31T22:29:18.269095Z", + "iopub.status.idle": "2023-10-31T22:29:19.926889Z", + "shell.execute_reply": "2023-10-31T22:29:19.926889Z" + } + }, + "outputs": [], + "source": [ + "val intSim = object: CallCenter() {\n", + " override val shiftManager = InterruptingShiftManager()\n", + "}\n", + "\n", + "// Let's run this model for a month\n", + "intSim.run(180.days)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "Again we study the request queue length as indicator for system stability:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:25.937222600Z", + "start_time": "2023-10-31T22:17:22.179425900Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:19.926889Z", + "iopub.status.busy": "2023-10-31T22:29:19.926889Z", + "iopub.status.idle": "2023-10-31T22:29:23.623008Z", + "shell.execute_reply": "2023-10-31T22:29:23.607420Z" + } + }, + "outputs": [ + { + 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WsVlNfmaKGVZUYxZKncQAwPUcc14/8P4m+Inx0u9fuVMlrbSveDd0AUhYV/D5T/wGvRf2hP8Akmqf9f8AF/JqiV1STe7f4XLVnUa6JfjY634d+JLzxd4G0/W7+OCK5uPM3rApVBtkZRgEk9AO9eWeNfjrqja7NofgyySVkkMIumiMryuDg+Wg4xnoTnPpXb/BmMy/BzSo1OGZbhQfQmV68J8CeLJPhR4z1GPV9HM8mDbTj7s0WGzlCeoPpxng545uaXtXHZf1/XzIjfkv1ubUnxI+MejKb7UrbUBaR8ubzRxHF+LBFI/OvWPhb8V4fHyzWN5bJaavbxiRkjJMcy5wWTPIwcZBJ6jk84NI+OPgXWiIZr2bT3kO3Zfw7Qfqy7lA+pFXvCPw68G6Rqz+JdAY3Ek7O0U0V1viRXzlUCYUrzgZz2prTfYHrtudVr2u6f4b0W51bU5vJtLddztjJJ6AAdyTgAV896n8bvHHibUJbfwhpb28KnKC3tTdTlexbIKjPoF/E1qftJ61KJNF0NGIhKtdyD+8c7V/L5vzqz4Y+NXw/wDCmg22ladousxRxIN7Lbw5kfHLMfM5JqI+9dsqXu2SObt/jF8S/C11G3iXT5JoJD/q7+w+zMw77GVV5+oP0r3zwd4w0zxtoMeq6a5Azsmhc/PC/dW/oe4rzXU/j54D1jTZ9P1DRdZuLWdCkkb28JBH/f3r79q479n7WPsfxAvtKt3c2N9A5RZODlDlSRnGdpbOPWqjq2mTLRXR7t448bab4E0E6lfhpXdvLt7dDhpn9B6AdSe3ucA+CP8AF34oeKLuWXw7azRwRnBh07TvtG0HpuLKxz+X0qz8bp5/EPxZ0vw6sjCKNYbdFHZ5W5b64K/lX0RoujWHh/SLbS9Nt1gtLdNqIo/Mn1JPJPc1MVdcz7/kVJ2fKj55vfi9qOr+C9f8LeLbL7JqrWpEUxjMRdgQdrofusRkg8A9MDv2H7N//Ilap/2ED/6LSt740+E7LX/Al9qBgT+0NNiM8M4HzbV5dc9wRnj1xWD+zf8A8iVqn/YQP/otKqDu5PrZfmTJWUbbXf5HstFFFIZ8seOdRttI/aLbUbxyltbXttLKwUsQqohPA5NbGqfGH4g+KbudvBmj3UOnxPtV7awNzIR/tkqyg+wHGep61gfEbTBrXx+n0tiQt3eW0LEdgyRgn8q+pbDT7TS7CGxsbeO3tYFCRxRrhVFKC/dRv/Ww5v8AeP5Hzv4X+PXiHStYTT/GNus8Ak2TymDyZ4OxJUAA47jAP8q+j0dZI1dGDIwBUjoQa8A/aT0m2Q6Jq8cSLcyGS3lcDl1ABXP0+b869f8AAU0lx8PvD0sjZdtPhyfX5BVRfNBvqnYlrlkl0aPO/iR8cl8NarNovh61gvL2A7bi4nyYo27oACCxHfkAHjnmuGbx58bLlftENpqywsNw8rRAUx65MZ/nXpulfCXw94Q8WyeLb/WmmjQvIP7R8tQkrHPmF+Bkc9upz2ro7/4peBtNXM/iawcf9O7mf/0WGqVold6lPV6LQ8r8D/HvVG1u30nxbbQmKWQQ/a44zG8TE4y69CM4HAGOvNfQErFIXcdVUkZr5J+MXivw94t8U21/oCOQkHlzztF5fmsCSDg8nA4yQD+VfVlvIZdEikPV7cMcnPVaJO9Jy2auK1qlujPCtF/aIvRY6rPrljYtNCEWyt7RXQyuSc7izNhQAOQP51g3PxO+L2oRHVrSzu7bTiu8NbaTugC9c73Rjj33Vm/BHw7aeIPiNuvoUmgsYXufLcZVnDBVyO+C2fwr6yqmtEwb95o8X+FnxpuPFGrxaB4gghjvZlP2e5gBVZWAyVZexIBORx2wK9mkkSGJ5ZXVI0UszMcBQOpJr5d8Y6fDoP7RNmLCNYI5NQtLgInABcru6ep3fnXsHxu1aXSvhffiBykl26Wu4f3WOWH4qCPxqZS/dqa32+Y1H3+Xpued+Lfj5q1/qjaZ4KtAsZfy47l4fNmmbPVE6AHsCCT7dKp6d8XviN4Wu4pvF+lXdxp8rBT9qsPsrf8AAGCqCe+CD+Fdl+z74XsrLwgfETQK1/fSOiysOUiU7dq+mSCT68eletX1ja6lZTWV7bx3FtMpSSKRdysPQiqacPNiupeSPmXwzqdrrP7SUOpWMnmWt1dySxNjGVMLHkdj7V9MalqVpo+mXOo38yw2ltGZJZG/hUfz+nevmTwnoC+GP2jbfR4yTDbXcoiycnYYmZf0Iru/2j9YktfDGl6THIVF7cNJIB/EsYGAfbLA/hUt2ox5RpXqyv8A1uczr/x78Sa3qRsfB2neRGxxExg8+5k99vKj6YP1rOHxa+KnhmeKfX7WZoHOBHqOmeQH+hVUOa9h+D/hKx8N+BNPuo4F+36jCtzcTlfnO4ZVc+gBHHrk967i+sbXUrKayvbeO4tplKSRSLuVh6EVUo8jstyU+bV7HL/D74h6Z4/0p57VTb30GBc2jtkoT0IP8Snnn86474lfFPxH4B8ZWtmLHTptGuESVXaJ/OK5xIud4XcMHHHcV574UgPgD9oQaPbysLVrlrT5v4opFygPrglPyr1P47+GP7d8BPfwx7rrSn+0Ljr5Z4kH5Yb/AIDUyl7sai2/r/hyor3nTe56Zb3EV3bRXEDh4pUDow6FSMg/lVHxBq8WgeHtQ1efBjs7d5sH+IgcD8TgfjXn/wAB/E41zwEunTSbrvSn8hgcZ8o8xn6Yyv8AwGsv9onxCbHwrZaHFJiTUJt8oB6xx4OD9WK/lRWXLouu3zFS136bmt8IviB4j8fnU7jVbTToLO12JG1rE6l5DkkZZ24AHp3FXviX8VLHwDAlrFCLzWJ03xW5bCxr0DufTIOAOTjt1q38JfDi+Gvh1psDR7Li6T7XcZ673AIz9F2j8K+eovFmh3Hxd1DxH4ss7m+shPI0VvEivkqdsYYMwBUKOnsOKqa99Q2/4AofA57m5/wsr4w61m+0y0vltH5UWWjiSID2ZkY/rXQ+Dvj3fxaumk+NbSOEFvLa8SMxPE3/AE0Q8Y9SMY9DW+P2jfBygAaZrgA4AEEP/wAdrz34rfEbwf490iA2GmajBq9vIPLuJ4I1Bj53ISrk46EcdR7mk3bZaDtfc+oUdZEV0YMrDIYHII9a8DHx+1KyvfEMOpWWnsbNnisI4VdWkkEm0byWPAUEnAHTHGa734L6zNrPwx017ht0tqXtSxOSQh+X/wAdKj8K8U+Hei2+t/HaeO6jWSG2u7m6KN0JRjt+vzFT+FNx/ect9LP9BKX7vm63R0Phj4i/FWXxTpcep2Ez2GpXCRot1pxhiCscko4UE4XJ5J4Hevoqiii+lgtrcK8a1b4yX2h/Fe78PahHp0OhWrHzLgxv520Q7+DvwSW4AxznFey18reLdAXxR+0TdaM7skd1eRrIy9QgiUtj3wDUq7qJL+tinZQbf9bmnf8Axe+I/iq8mm8I6ZdQWETlQLOw+1NjtvYqwz9APxq94S+Pmr2WrppnjS1Qw7/LkuUhMUsB9XToQO4ABHPXpXv9hp9ppdhDY2NvHb2sChI4o1wqivJv2gPCdlfeEj4jigRNQsZEWSVRgyRMdu0+uCVIz059aG1DzQJOfkz2CORJokkjdXjcBlZTkEHoQa8EHx+1KyvfEMOpWWnsbNnisI4VdWkkEm0byWPAUEnAHTHGa7n4I6xLq/wxsBMxaSyd7TJP8KnK/kpA/CvGPh3otvrfx2njuo1khtru5uijdCUY7fr8xU/hVOP7zlvpZ/oSpfu+brdHQ+GPiL8VZfFOlx6nYTPYalcJGi3WnGGIKxySjhQThcnkngd69V+InxI034f6fG08bXWoXAP2e1Q4zjqzH+FfzJ7Drjta+W9ZtR8Q/wBoeTTLuRms1uzbkKTxFCCWUemSrc+rUtZNQX9Ieyc2P/4Wv8VvEsslxoVrOIFOCmnaX56r9Syuc/jWn4c+Puv6TqgsPGNgJYg+2WRYfJuIvcpwDj0wD719EWlpb2FpFaWkEcFvCoSOKNQqqB2AFeffGjwlY+IPAl9qDQKNQ02I3EE4X5tq8shPcEZ49cGk5cmq2HFc2j3O/sb611OwgvrKZJ7WdBJFIh4ZSMg1wnxM+Ktl4BijtIYBe6vOm+OAthI16B3PXGegHXB5HWuf/Z01iS88G32mSvu+wXWYwf4UcZx/30GP4157oFhH8SPj5eyakvm2aXMs7xsMhoojtRD7cID+NVKPvqC9fkTGXuOT9B6fE74va8Gv9Jt7z7IScfYNJEsQ9gxRj+tdN4F+PN7JrEWjeMbeKIu/lfbUQxmN84xInQDPGRjHcdTXvUcaQxrHEipGgCqqjAAHQAV5949+Eek+O9XtNSmupLGaNCk7QRKWnXjbknoRzzg8H2ovZ7aDtdeZ3l7e22nWM97dzJDbQRmSWRjwqgZJr578Q/HjxHrWqSaf4J00pFnEcv2cz3EmP4gnIUexBPv2rovj3fyaH8O9K0CCaV0uZFieSRss6RKD8xGMknaT9K5z4e/FjwL4H8MW9imkaqb9lDXlxHBEfNk7/MZAdo6AcfqalWcnroh6pLTVmWPir8WPDTrd65Z3DWxO3bqOl+Qh+jKqHP417h8PviHpvj/SWuLZfs19BgXNozZMZPQg91PrXGTftEeCrmB4J9J1mWKRSrxvbQsrA9QQZeRXmfw016ysPjZDJoaTQ6RqM8kCQTYVljcZVSASOGC45PSqjrLlZMtI8x9BfEHx5ZeAdAF/cRG4uZm8u2tg2PMbGSSeyjufp614afin8WvEbNeaHZXS2uSANP0rzkHtuZXOfxrp/wBpPSryaz0TVY42e0t2lhmYDIRn2lSfQHaRn/GpfCf7QPh+20ey0/VtJubGSCJYt1oivCAoxkDIKjjoAcetTDW7e5UtLWOf0b47+LfD+qLY+L9N+0Ip/fB7f7PcoPXHC/gVGfUV9F2N7balYW99aSrLbXEayxSDoykZBrz7Uv8AhXXxghsoDq0NxNbyF4k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+ }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "intSim.serviceAgents.requesters.queueLengthTimeline\n", + " .display(\"Request queue length with revised handover process\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, the model is not stable. The number of support technicians is not adequate to serve the varying number of customers. Although the request frequency did not change, the more accurate shift transition modeling has impacted the result.\n", + "\n", + "To determine the correct sizing - i.e., the number of service operators needed to reliably serve customers - we will increase the day staff by one support technician and repeat the experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2023-10-31T22:17:30.815161700Z", + "start_time": "2023-10-31T22:17:25.937222600Z" + }, + "collapsed": false, + "execution": { + "iopub.execute_input": "2023-10-31T22:29:23.623008Z", + "iopub.status.busy": "2023-10-31T22:29:23.623008Z", + "iopub.status.idle": "2023-10-31T22:29:27.095640Z", + "shell.execute_reply": "2023-10-31T22:29:27.095640Z" + } + }, + "outputs": [ + { + "data": { + "image/jpeg": 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+ }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "val betterStaffed = object: CallCenter() {\n", + " override val shiftManager = InterruptingShiftManager(bWorkers = 6.0)\n", + "}\n", + "\n", + "betterStaffed.run(90.days)\n", + "\n", + "\n", + "val queueLengthTimeline = betterStaffed.serviceAgents\n", + " .requesters.queueLengthTimeline\n", + "\n", + "queueLengthTimeline.display(\"Request queue length with revised handover process\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "Notably, this model has the almost the same dynamics, but is stable from a queuing perspective.\n", + "\n", + "## Summary\n", + "\n", + "We have successfully modelled a variable shift length schedule and performed a sizing analysis. An initial model indicated that a weekday shift would be sufficiently staffed with 5 workers. However, a more detailed model, which also considers transition effects between shifts, led to the conclusion that 6 support technicians are required to serve the multitude of customers of Future Kalasim Inc.\n", + "\n", + "\n", + "Could we have solved this more elegantly using the mathematics of queuing theory? Such models are a great starting point, but usually, they very quickly fail. That's when discrete event simulation can develop its beauty and potential. Flexible shift schedules are common in many industries, and the model introduced above could be easily adjusted to account for more business constraints and processes.\n", + "\n", + "The use-case was adopted from the [simmer mailing list](https://groups.google.com/g/simmer-devel/c/gsr6F7CJQf8/m/euW1ZaU0DAAJ)\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Kotlin", + "language": "kotlin", + "name": "kotlin" + }, + "language_info": { + "codemirror_mode": "text/x-kotlin", + "file_extension": ".kt", + "mimetype": "text/x-kotlin", + "name": "kotlin", + "nbconvert_exporter": "", + "pygments_lexer": "kotlin", + "version": "1.8.20" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/userguide/docs/examples/callcenter.md b/docs/userguide/docs/examples/callcenter.md new file mode 100644 index 00000000..de5d00d3 --- /dev/null +++ b/docs/userguide/docs/examples/callcenter.md @@ -0,0 +1,288 @@ +# Call Center + +Resource planning is the bread and butter of any successful business. + + +Let's take a glimpse into the near future where kalasim has taken up a dominant role in the simulation industry. Hundreds of happy customers are utilizing the support hotline 24/7 from around the globe to obtain professional simulation assistance. Envision a customer service department, where a steady stream of customer requests come in, and the customer service agents are tasked with addressing these inquiries. + + +![Vintage Gas Pump](callcenter_plantronics.jpg){: .center} + +

+Call Center (©Plantronics, CC BY-SA 3.0) +

+ + + +Choosing an appropriate shift model and planning shift capacity are key this - and any successful - business operations. Due to the complex dynamics and interplay, it's often very challenging to determine capacity and pinpoint bottlenecks in such systems on paper. + +Here is how the envisioned call center functions: + +* The requests arrive throughout the day and are queued and pooled, waiting for an available responder. +* The responders are available in two shifts, excluding weekends. Ideally, the two shifts should not have separate queues since there is already a pooled queue. +* If a responder from Shift A is working on a request but is about to end their shift, they will hand over the request they are working on to Shift B. +* Shifts A and B will have different capacities to mimic day/night shift regimes. + +Except for weekends, when there are no available shifts, the first available responder the following week will handle the unattended requests. + +To get started, let's initialize the environment by loading the latest version of kalasim: + + +```kotlin +@file:Repository("*mavenLocal") + +%useLatestDescriptors on + +@file:DependsOn("com.github.holgerbrandl:kalasim:0.12-SNAPSHOT") +@file:DependsOn("com.github.holgerbrandl:kravis:0.9.95") +``` + +## Shift System + +To engineer a discrete event simulation for this particular business process, we begin by implementing the shift system. Technically, we use a [sequence builder](https://kotlinlang.org/docs/sequences.html) to create a weekly shift sequence that is repeated, allowing the subsequent model to run indefinitely. + + +```kotlin +enum class ShiftID { A, B, WeekEnd } + +val shiftModel = sequence { + while(true) { + repeat(5) { yield(ShiftID.A); yield(ShiftID.B) } + yield(ShiftID.WeekEnd) + } +} +``` + +## Customer Inquiries + +Now, we model the customer requests as simulation entities. Each request is modelled as a [`Component`](../component.md) with a dedicated small lifecycle where the call center agent is [request](../component.md#request)ed. The actual process time varies; it is exponentially distributed with an average of around 25 minutes. + + +```kotlin +class Request : Component() { + val callCenter = get() + + override fun process() = sequence { + request(callCenter, capacityLimitMode = CapacityLimitMode.SCHEDULE) { + hold(exponential(25.minutes).sample()) + } + } +} +``` + +## Shift Manager + +Next, we need to model the call center manager to modulate the shift (or in simulation speak [resource](resources.md)) capacity dynamically. + + +```kotlin +class ShiftManager : Component() { + val shiftIt = shiftModel.iterator() + val callCenter = get() + + override fun repeatedProcess() = sequence { + val currentShift = shiftIt.next() + + log("starting new shift ${currentShift}") + + // adjust shift capacity at the beginning of the shift + callCenter.capacity = when(currentShift) { + ShiftID.A -> 2.0 + ShiftID.B -> 5.0 + ShiftID.WeekEnd -> 0.0 + } + + // wait for end of shift + hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours) + } +} +``` + +## Simulation Environment + +Finally, we integrate everything into a simulation [environment](basics.md#simulation-environment) for easy experimentation. To facilitate convenient experimentation with various configurations and decision policies, we maintain the Shift Manager as an abstract entity, obliging the simulator to incorporate a specific implementation to conduct an experiment. + + +```kotlin +abstract class CallCenter( + val interArrivalRate: Duration = 10.minutes, + logEvents: Boolean = false +) : + Environment( + enableComponentLogger = logEvents, + // note tick duration is just needed here to simplify visualization + tickDurationUnit = DurationUnit.HOURS + ) { + + // intentionally not defined at this point + abstract val shiftManager: Component + + val serviceAgents = dependency { Resource("Service Agents") } + + init { + ComponentGenerator(iat = exponential(interArrivalRate)) { Request() } + } +} +``` + +Let's run the unit for 1000 hours + + +```kotlin +val sim = object : CallCenter() { + override val shiftManager = ShiftManager() +} + +sim.run(30.days) +``` + +To understand the dynamics of the model, we could now try inpspecting its progression. First we check out the queue length + + +```kotlin +sim.serviceAgents.requesters.queueLengthTimeline.display() + +``` + + + + + +![jpeg](callcenter_files/callcenter_15_0.jpg) + + + + +## Model Accuracy During Shift Handover + +Clearly, this first version has the limitation that tasks overlapping with a shift-change do not immediately respect changes in capacity. That is, when shifting from a highly-staffed shift to a lesser-staffed shift, ongoing tasks will be completed regardless of the reduced capacity. + +It's not straightforward to cancel these tasks and request them again in the next shift. This is because a `release()` will, by design, check if new requests could be served. So, ongoing tasks could be easily released, but re-requesting them - even with higher priority - would lead them to be processed slightly later than the requests that were immediately approved. + +To elegantly solve this problem, we can use two other methods - `interrupt()` and `standby()`. With `interrupt()`, we can stop all ongoing tasks at a shift change. With `standby()`, we can schedule process continuation in the next simulation cycle. + +For the revised model, we just need to create a different `ShiftManager` with our revised handover process: + + + + +```kotlin +class InterruptingShiftManager( + val aWorkers: Double = 2.0, + val bWorkers: Double = 5.0 +) : Component() { + val shiftIt = shiftModel.iterator() + val serviceAgents = get() + + override fun repeatedProcess() = sequence { + val currentShift = shiftIt.next() + + log("starting new shift $currentShift") + + // adjust shift capacity at the beginning of the shift + serviceAgents.capacity = when(currentShift) { + ShiftID.A -> aWorkers + ShiftID.B -> bWorkers + ShiftID.WeekEnd -> 0.0 + } + + // complete hangover calls from previous shift + fun shiftLegacy() = serviceAgents.claimers.components + .filter { it.isInterrupted } + + // incrementally resume interrupted tasks while respecting new capacity + while(shiftLegacy().isNotEmpty() && serviceAgents.capacity > 0) { + val numRunning = serviceAgents.claimers.components + .count { it.isScheduled } + val spareCapacity = + max(0, serviceAgents.capacity.roundToInt() - numRunning) + + // resume interrupted tasks from last shift to max out new capacity + shiftLegacy().take(spareCapacity).forEach { it.resume() } + + standby() + } + + // wait for end of shift + hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours) + + // stop and reschedule the ongoing tasks + serviceAgents.claimers.components.forEach { + // detect remaining task time and request this with high prio so + // that these tasks are picked up next in the upcoming shift + it.interrupt() + } + } +} +``` + +We can now instantiate a new call center with the improved hand-over process + + +```kotlin +val intSim = object: CallCenter() { + override val shiftManager = InterruptingShiftManager() +} + +// Let's run this model for a month +intSim.run(180.days) +``` + +Again we study the request queue length as indicator for system stability: + + +```kotlin +intSim.serviceAgents.requesters.queueLengthTimeline + .display("Request queue length with revised handover process") + +``` + + + + + +![jpeg](callcenter_files/callcenter_22_0.jpg) + + + + +As we can see, the model is not stable. The number of support technicians is not adequate to serve the varying number of customers. Although the request frequency did not change, the more accurate shift transition modeling has impacted the result. + +To determine the correct sizing - i.e., the number of service operators needed to reliably serve customers - we will increase the day staff by one support technician and repeat the experiment. + + +```kotlin +val betterStaffed = object: CallCenter() { + override val shiftManager = InterruptingShiftManager(bWorkers = 6.0) +} + +betterStaffed.run(90.days) + + +val queueLengthTimeline = betterStaffed.serviceAgents + .requesters.queueLengthTimeline + +queueLengthTimeline.display("Request queue length with revised handover process") +``` + + + + + +![jpeg](callcenter_files/callcenter_24_0.jpg) + + + + +Notably, this model has the almost the same dynamics, but is stable from a queuing perspective. + +## Summary + +We have successfully modelled a variable shift length schedule and performed a sizing analysis. An initial model indicated that a weekday shift would be sufficiently staffed with 5 workers. However, a more detailed model, which also considers transition effects between shifts, led to the conclusion that 6 support technicians are required to serve the multitude of customers of Future Kalasim Inc. + + +Could we have solved this more elegantly using the mathematics of queuing theory? Such models are a great starting point, but usually, they very quickly fail. That's when discrete event simulation can develop its beauty and potential. Flexible shift schedules are common in many industries, and the model introduced above could be easily adjusted to account for more business constraints and processes. + +The use-case was adopted from the [simmer mailing list](https://groups.google.com/g/simmer-devel/c/gsr6F7CJQf8/m/euW1ZaU0DAAJ) + + diff --git a/docs/userguide/docs/examples/callcenter_plantronics.jpg b/docs/userguide/docs/examples/callcenter_plantronics.jpg new file mode 100644 index 0000000000000000000000000000000000000000..387583fc13d1c1b0937999b5b16087a8fd5b3988 GIT binary patch literal 883622 zcmeFacUTllvp76UMuL)~WCTHSMqxpMAd+(ymL=~luw(>`pprxc1VkhVk|ierMFEv0 zIV@2GB!fhk^qa+_$MfFzhUb3I{p+)R=&7!%uCA``>7D87DUXJZrszu5{9POYKwBFS z004jlAcjx__#gxU{{awYfbbXw0DB0_FW42r{}&G)$Rh@TIlv13c|pXFVOkK54tD_v z{;Hb=UOxdR_OAl~->IKhWe1c!oI}qU<&8o+qdYiN45c_sU62kaKQtgNDkdQ>CMGW` z#UUmsFD@r9Dh-MN@Sj2c*6kVIPx(Yj&+vc3cwigHi3o!K7cbH8{eZCj-4Do_-}`|F z`6&Y;jQ2}6?X|z;X@FPIBEa$WXy|AeAV2Pbt%^1PIa&cIk4u2VbsXOj2DlB7laP>* 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zWD-V0A*k1;2aHH65&&v~e4tmrb)oUk`*2u9M~XZ=Xik1=`1p)Oq5za)6p&9``cx7J q%M(h*10;`_ew6~AIUcq6<0XtwDE5OQXb<23_;`FV6_ANsWB=K`%^IHo literal 0 HcmV?d00001 diff --git a/docs/userguide/docs_howto.md b/docs/userguide/docs_howto.md index 8a394b31..af2164c9 100644 --- a/docs/userguide/docs_howto.md +++ b/docs/userguide/docs_howto.md @@ -79,6 +79,11 @@ jupyter nbconvert --kernel=kotlin --to markdown atm_queue.ipynb --out atm_queu jupyter nbconvert --kernel=kotlin --to markdown gas_station.ipynb --out gas_station.md +cd ${KALASIM_HOME}/docs/userguide/docs/examples + +jupyter nbconvert --kernel=kotlin --execute callcenter.ipynb --to notebook --inplace +jupyter nbconvert --kernel=kotlin --to markdown callcenter.ipynb --out callcenter.md + cd ${KALASIM_HOME}/docs/userguide/docs/animation diff --git a/docs/userguide/mkdocs.yml b/docs/userguide/mkdocs.yml index aaf835a2..45b40f25 100644 --- a/docs/userguide/mkdocs.yml +++ b/docs/userguide/mkdocs.yml @@ -90,6 +90,7 @@ nav: - The Ferryman: examples/ferryman.md - Emergyency Room: examples/emergency_room.md - Lunar Mining: animation/lunar_mining.md + - Call Center: examples/callcenter.md - Advanced: - advanced.md diff --git a/src/main/kotlin/org/kalasim/plot/kravis/KravisVis.kt b/src/main/kotlin/org/kalasim/plot/kravis/KravisVis.kt index 40003166..0cd77d0e 100644 --- a/src/main/kotlin/org/kalasim/plot/kravis/KravisVis.kt +++ b/src/main/kotlin/org/kalasim/plot/kravis/KravisVis.kt @@ -4,9 +4,12 @@ import kravis.* import kravis.device.JupyterDevice import org.jetbrains.letsPlot.label.ggtitle import org.kalasim.* +import org.kalasim.Component import org.kalasim.analysis.ResourceActivityEvent import org.kalasim.monitors.* -import java.awt.GraphicsEnvironment +import java.awt.* +import java.nio.file.Files +import java.time.Instant import kotlin.time.Duration fun canDisplay() = !GraphicsEnvironment.isHeadless() && hasR() @@ -254,3 +257,15 @@ internal fun List.clistTimeline() = flatMap { eqn -> .statsData().asList().map { eqn to it } } + + +// todo move to kravis library +fun GGPlot.showFile() { + val file = Files.createTempFile("kravis" + Instant.now().toString().replace(":", ""), ".png") + + save(file, Dimension(1000, 800)) + + Desktop.getDesktop().open(file.toFile()) +} + + diff --git a/src/test/kotlin/org/kalasim/scratch/callcenter/CallCenter.kt b/src/test/kotlin/org/kalasim/scratch/callcenter/CallCenter.kt index f137408c..ea38a95f 100644 --- a/src/test/kotlin/org/kalasim/scratch/callcenter/CallCenter.kt +++ b/src/test/kotlin/org/kalasim/scratch/callcenter/CallCenter.kt @@ -5,6 +5,7 @@ import kravis.SessionPrefs import kravis.device.SwingPlottingDevice import org.kalasim.* import org.kalasim.plot.kravis.display +import org.kalasim.plot.kravis.showFile import java.awt.Desktop import java.awt.Dimension import java.nio.file.Files @@ -35,7 +36,7 @@ class Request : Component() { request(callCenter, capacityLimitMode = CapacityLimitMode.SCHEDULE) { // model requests with static duration for now once they got hold of an operator // hold(1.minutes) - hold(exponential(30.minutes).sample()) + hold(exponential(25.minutes).sample()) } } } @@ -52,7 +53,7 @@ class ShiftManager : Component() { // adjust shift capacity at the beginning of the shift callCenter.capacity = when(currentShift) { ShiftID.A -> 2.0 - ShiftID.B -> 8.0 + ShiftID.B -> 5.0 ShiftID.WeekEnd -> 0.0 } @@ -61,9 +62,12 @@ class ShiftManager : Component() { } } -class InterruptingShiftManager : Component() { +class InterruptingShiftManager( + val aWorkers: Double = 2.0, + val bWorkers: Double = 8.0 +) : Component() { val shiftIt = shiftModel.iterator() - val callCenter = get() + val serviceAgents = get() override fun repeatedProcess() = sequence { val currentShift = shiftIt.next() @@ -71,19 +75,22 @@ class InterruptingShiftManager : Component() { log("starting new shift $currentShift") // adjust shift capacity at the beginning of the shift - callCenter.capacity = when(currentShift) { - ShiftID.A -> 2.0 - ShiftID.B -> 8.0 + serviceAgents.capacity = when(currentShift) { + ShiftID.A -> aWorkers + ShiftID.B -> bWorkers ShiftID.WeekEnd -> 0.0 } // complete hangover calls from previous shift - fun shiftLegacy() = callCenter.claimers.components.filter { it.isInterrupted } + fun shiftLegacy() = serviceAgents.claimers.components.filter { it.isInterrupted } // incrementally resume interrupted tasks while respecting new capacity - while(shiftLegacy().isNotEmpty() && callCenter.capacity > 0) { - val numRunning = callCenter.claimers.components.count { it.isScheduled } - val spareCapacity = max(0, callCenter.capacity.roundToInt() - numRunning) + while(shiftLegacy().isNotEmpty() && serviceAgents.capacity > 0) { + val numRunning = serviceAgents.claimers.components + .count { it.isScheduled } + + val spareCapacity = + max(0, serviceAgents.capacity.roundToInt() - numRunning) // resume interrupted tasks from last shift to max out new capacity shiftLegacy().take(spareCapacity).forEach { it.resume() } @@ -95,7 +102,7 @@ class InterruptingShiftManager : Component() { hold(if(currentShift == ShiftID.WeekEnd) 48.hours else 12.hours) // stop and reschedule the ongoing tasks - callCenter.claimers.components.forEach { + serviceAgents.claimers.components.forEach { // detect remaining task time and request this with high prio so // that these tasks are picked up next in the upcoming shift it.interrupt() @@ -104,7 +111,10 @@ class InterruptingShiftManager : Component() { } -abstract class CallCenter(val interArrivalRate: Duration = 10.minutes, logEvents: Boolean = false) : +abstract class CallCenter( + val interArrivalRate: Duration = 10.minutes, + logEvents: Boolean = false +) : Environment( enableComponentLogger = logEvents, // note tick duration is just needed here to simplify visualization @@ -114,7 +124,7 @@ abstract class CallCenter(val interArrivalRate: Duration = 10.minutes, logEvents // intentionally not defined at this point abstract val shiftManager: Component - val callCenter = dependency { Resource("Call Center") } + val serviceAgents = dependency { Resource("Service Agents") } init { ComponentGenerator(iat = exponential(interArrivalRate)) { Request() } @@ -131,13 +141,13 @@ fun main() { SessionPrefs.OUTPUT_DEVICE = SwingPlottingDevice() // bug in library, kernel detection seems buggy - sim.callCenter.requesters.queueLengthTimeline + sim.serviceAgents.requesters.queueLengthTimeline .display(forceTickAxis = true).showFile() - val claimedTimeline = sim.callCenter.claimers.queueLengthTimeline + val claimedTimeline = sim.serviceAgents.claimers.queueLengthTimeline - sim.callCenter.requesters.queueLengthTimeline + sim.serviceAgents.requesters.queueLengthTimeline .display(forceTickAxis = true).showFile() claimedTimeline.display(forceTickAxis = true).showFile() @@ -147,30 +157,22 @@ fun main() { // now investigate a more correct manager who will interrupt ongoing tasks val intSim = object : CallCenter() { - override val shiftManager = InterruptingShiftManager() + override val shiftManager = InterruptingShiftManager(2.0) } intSim.run(30.days) - intSim.callCenter.requesters.queueLengthTimeline + intSim.serviceAgents.requesters.queueLengthTimeline .display("Request queue length with revised handover process", forceTickAxis = true) .showFile() // try again but with more customers val highWorkloadCenter = object : CallCenter(interArrivalRate = 8.minutes) { - override val shiftManager = InterruptingShiftManager() + override val shiftManager = InterruptingShiftManager(2.0) } highWorkloadCenter.run(30.days) - highWorkloadCenter.callCenter.claimers.queueLengthTimeline.display("high B-A", from = 23.tt, to = 25.tt).showFile() -} - -private fun GGPlot.showFile() { - val file = Files.createTempFile("kravis" + Instant.now().toString().replace(":", ""), ".png") - - save(file, Dimension(1000, 800)) - - Desktop.getDesktop().open(file.toFile()) + highWorkloadCenter.serviceAgents.claimers.queueLengthTimeline.display("high B-A", from = 23.tt, to = 25.tt).showFile() }

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