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Simulation Modeling of Transport Operations with Anylogic.
Rating: 4.2 out of 5(5 ratings)
63 students

Simulation Modeling of Transport Operations with Anylogic.

Master AnyLogic discrete-event simulation: cement truck dispatch with parallel lanes, rework loops & KPI dashboards.
Last updated 4/2026
English
English [Auto],

What you'll learn

  • Build a full discrete-event simulation (DES) model in AnyLogic from a blank canvas
  • Model parallel process lanes using SelectOutput and Combine blocks correctly
  • Assign stochastic distributions — Normal, Triangular, Exponential, Uniform — to service times
  • Read and display block statistics: statsUtilization, statsWaitingTime, statsTimeInBlock
  • Design heterogeneous agent types with custom attributes (isBag, loadTons, tare weight)
  • Implement rework loops, gate rejection rates, and conditional QC sampling

Course content

1 section • 28 lectures • 2h 11m total length
  • Intro About the case2:03
  • Simple one service line example2:03
  • Case study walkthrough2:49
  • Dispatch operations activities4:23
  • Case parameters.5:29
  • PDF and Mockup overview3:43
  • Anylogic installation1:20
  • Model time2:36
  • Defining agents and running first model6:45
  • Delay and select output6:46

    Model truck arrivals with exponential inter-arrivals, 10 per hour for bags and 3 per hour for bulk, plus a 1-minute RFID gate scan and 5% failures exiting via select output.

  • Adding distributions3:15
  • Adding resources4:03
  • Creating a new agent7:58
  • Separating bag and bulk path11:13
  • how can we define days in the model?3:39

    Define a day function in AnyLogic to convert simulation time into day units, and set the day to a 6-hour cycle to analyze arrivals, inspections, and routing.

  • What are variables in anylogic?8:01
  • Datasets to keep daily logs.8:42
  • Measuring time of service6:07

    Measure service time from gate scan to separation in a transport operations model using time measures and a histogram, with an average around 8 minutes and about 2000 tons daily.

  • Combining services and agents4:11
  • Bag lane services6:02
  • Bulk services3:59
  • What is the average waiting time for bag and bulk ?1:14

    Add a combine queue to unify bulk and back service paths, then calculate and compare average waiting times for bulk and back services under given resource and queue capacities.

  • Total time of the system.1:37

    Measure total system time by linking start and end for back and bulk processes, tracking waiting and loading times, and use utilization and service times to guide performance improvements.

  • Quality control explanation3:18

    Learn how quality control sampling guides 10% of trucks through lab tests and timing, then apply weighting, rework if 3–5% require it, and finish with visual inspection and documentation.

  • Quality control workflow10:13
  • Documentation and exit3:01
  • Charts generation from the blocks4:03
  • Total time of bags vs bulk3:10
  • AnyLogic assignment

Requirements

  • AnyLogic Personal Learning Edition installed -free
  • No prior simulation experience required — the model is built from scratch step by step
  • Basic understanding of probability and statistics (distributions, mean, standard deviation)

Description

ANYLOGIC · DISCRETE-EVENT SIMULATION · AGENT-BASED MODELLING · TRANSPORT OPERATIONS · PROCESS MODELLING · DES · SUPPLY CHAIN SIMULATION · OPERATIONS RESEARCH · LOGISTICS MODELLING


Disclaimer : this section is included in Transport Logistics Optimization  with Excel and anylogic. but it is independent and can be taken separately for those who want a short and detailed course on simulation with anylogic.



★ Build First, Understand as You Go — A Complete DES Model from Blank Canvas in 2.2 Hours

Most simulation courses spend hours on theory before you touch a model. This course flips that. From the first lecture you are inside AnyLogic, placing blocks, running the model, and reading the output. Every concept — agent types, stochastic distributions, parallel lanes, resource contention, rework loops, quality control, cost tracking — is introduced exactly when you need it to solve the next modelling problem. By the end of 2.2 hours you have a fully working, statistically grounded simulation model of a real industrial system. No theory without application. No application without understanding.


★ One Real Industrial Case Study, Built Completely — Cemenco Ltd, 2,000 Tonnes Per Day

This course does not rotate through five disconnected examples. It builds one realistic industrial system completely: Cemenco Ltd, a fictional 2,000-tonne-per-day cement plant, modelling the full truck dispatch operation from gate entry to departure. Two competing agent types (8–10 t bag trucks and 40 t bulk tankers), six process phases, parallel loading lanes, a shared weighbridge bottleneck, a rework loop, a conditional quality control sampling process, and a live cost dashboard tracking per-trip, time-based resource, and delay costs. Every element mirrors what industrial practitioners model in real operations. The model you build is a professional portfolio piece.


★ Master the AnyLogic Process Modelling Library — the Blocks Industrial Practitioners Actually Use

This course works exclusively inside AnyLogic’s Process Modelling Library, using the blocks that appear in every real industrial DES model: Source, Service, Delay, SelectOutput, Combine, Queue, and Sink. You will understand not just how to place them, but why — when to use Service vs. Delay (resource contention vs. fixed time), how SelectOutput routes agents to parallel paths, how Combine merges heterogeneous agent flows, and how to read statsUtilization, statsWaitingTime, and statsTimeInBlock from every block automatically. These are the skills that separate someone who has opened AnyLogic from someone who can build with it.


★ Taught by a Ph.D. in Supply Chain from the University of Bordeaux — Who Has Delivered This as a Live Training Program

Haytham holds a Ph.D. in Supply Chain and Forecasting from the University of Bordeaux. The cement plant truck dispatch scenario in this course was developed and delivered as a three-day professional training program for one of the world’s largest building materials companies — a global leader operating across more than 70 countries, with sessions in Barcelona and Mexico City attended by 60 logistics and supply chain professionals from 15 countries. The AnyLogic simulation module you build here comes directly from that engagement. The case study has been tested, challenged, and validated by practitioners from global operations.


★ Three Graded Experiments with a Structured Report — Academic and Professional Grade Assessment

This course includes a graded assignment that goes beyond “run the model and screenshot it.” You will conduct three structured experiments: (1) a baseline run measuring turnaround time, weighbridge utilisation, and cost per tonne; (2) adding a second outbound weighbridge and calculating the break-even operating cost; and (3) increasing the gate rejection rate from 5% to 12% and measuring the cascade effect on daily tonnage. You submit the AnyLogic model file and a one-page results summary. This is the standard format for academic simulation reports and professional simulation consulting deliverables.




COURSE DESCRIPTION

Most simulation courses teach theory first and leave you struggling to connect abstract concepts to a real model. This course flips that. You build first, understand as you go. From the first lecture you are inside AnyLogic, placing blocks, running the model, and reading the output. Every concept is introduced exactly when you need it to solve the next modelling problem.

The case study is Cemenco Ltd — a fictional 2,000-tonne-per-day cement plant. You will model the complete truck dispatch operation from gate entry to departure: two competing agent types (8–10 t bag trucks and 40 t bulk tankers), six process phases, parallel loading lanes, a shared weighbridge bottleneck, a rework loop, a conditional quality control sampling process, and a live cost dashboard. Every element mirrors what industrial practitioners model in real operations. The model you build by the end of 2.2 hours is a professional portfolio piece you can extend, adapt, and present to academic or professional audiences.

The course works exclusively inside AnyLogic’s Process Modelling Library — using Source, Service, Delay, SelectOutput, Combine, Queue, and Sink. You will understand not just how to place them, but why. The graded assignment requires three structured experiments with a one-page results summary in standard academic simulation report format. AnyLogic Personal Learning Edition is free.



WHAT MAKES THIS COURSE DIFFERENT


[ BUILD ]

Build first — theory follows application

No abstract concepts before you touch the model. Every block, distribution, and parameter is introduced at the moment you need it. 2.2 hours. One complete model. Nothing theoretical without immediate application.


[ REAL ]

One complete industrial case — not fragments

One system, built completely: Cemenco Ltd, 2,000 t/day cement plant, two truck types, six process phases, parallel lanes, rework loop, QC sampling, live cost dashboard. A professional portfolio piece.


[ WHY ]

Understand why, not just how

Service vs. Delay. SelectOutput routing logic. Combine block merging. statsUtilization reading. Every block decision is explained, not just demonstrated. You will know why you placed it, not just that you placed it.



SOFTWARE AND TOOLS

AnyLogic Personal Learning Edition (free) | Process Modelling Library | Source · Service · Delay · SelectOutput · Combine · Queue · Sink



What you will learn

✓Build a full discrete-event simulation (DES) model in AnyLogic from a blank canvas

✓Design heterogeneous agent types with custom attributes (isBag, loadTons, tare weight)

✓Model parallel process lanes using SelectOutput and Combine blocks correctly

✓Choose between Service and Delay blocks based on resource contention logic

✓Assign stochastic distributions — Normal, Triangular, Exponential, Uniform — to service times

✓Implement rework loops, gate rejection rates, and conditional QC sampling

✓Read and display block statistics: statsUtilization, statsWaitingTime, statsTimeInBlock

✓Build a live KPI dashboard with Time Plots, Bar Charts, and Dataset objects

✓Account for operational costs: per-trip, time-based resource, and delay costs

✓Run and interpret simulation experiments and validate against real-world KPI benchmarks

Course description

Most simulation courses teach theory first and leave you struggling to connect abstract concepts to a real model. This course flips that. You build first, understand as you go.

Using Cemenco Ltd — a fictional 2,000-tonne-per-day cement plant — as the case study, you will model the complete truck dispatch operation from gate entry to departure. The scenario involves two competing truck types (8–10 t bag trucks and 40 t bulk tankers), six process phases, parallel loading lanes, shared bottleneck resources, a rework loop, and a live cost dashboard. Every element you build mirrors a real industrial system.

You will work exclusively inside AnyLogic's Process Modelling Library, using blocks that industrial practitioners use daily: Source, Service, Delay, SelectOutput, Combine, Queue, and Sink. You will understand not just how to place blocks, but why — when to use Service vs. Delay, how the Combine block merges parallel flows, and how to read the statistics every block automatically collects.

By the end of the 2.2-hour course, you will have a fully working, statistically grounded simulation model you can extend, reuse for your own research, and present to an academic or professional audience.

Graded assignment

You will run three model experiments and answer a structured report: (1) Baseline run — measure turnaround time, weighbridge utilisation, and cost per tonne. (2) Add a second outbound weighbridge — quantify the improvement and calculate break-even operating cost. (3)Increase the gate rejection rate from 5% to 12% — measure the cascade effect on daily tonnage. Submit your AnyLogic model file plus a one-page results summary.

Keywords & topics covered

AnyLogic- discrete- event simulation-agent based modeling -Process Modeling- loading operations


Who this course is for:

  • MSc / PhD students in industrial engineering, operations research, or supply chain
  • Academics building simulation case studies for teaching
  • Practitioners wanting to model manufacturing or logistics operations in AnyLogic
  • Anyone who has opened AnyLogic but struggled to build a complete model end to end