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 Course module: 202000427
 202000427Simulation and Heuristics
 Course info
Course module202000427
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Lecturer(s)
 Examiner dr. A. Asadi Contactperson for the course dr. A. Asadi Lecturer dr.ir. M.R.K. Mes Lecturer dr.ir. J.M.J. Schutten
Starting block
 2B
RemarksPreferably, this module component needs to be followed in parallel with the component Project Simulation and Heuristics.
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
 Aims
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } After successful completion of this module component, the student is able to: describe the different types of simulation, their applicability, and how to setup a simulation study; understand the core principles of discrete event simulation (e.g., the event controller, random numbers, and warm-up period); define input for a simulation model (e.g., different statistical distributions) and design experiments (selection of the type of simulation, warm-up period, replications, combination of experimental factors, ranges, performance indicators, etc.); explain the concepts of (i) construction and improvement heuristics and (ii) local search heuristics.
 Content
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } In the module component Simulation and Heuristics, students learn how to perform a simulation study and learn basic heuristic approaches for routing and scheduling. Regarding simulation, the goal is to learn about the principles of discrete event stochastic simulation to be able to conduct a simulation study focused on the improvement of business processes. Regarding heuristics, the goal is to learn how to apply priority rules and sampling to construct solutions, and how to apply local search to improve solutions.
Assumed previous knowledge
 '1. Probability theory (e.g., random variables, cumulative distribution functions, probability density functions, conditional distributions and measures of a distribution).2. Programming and Excel (e.g., for/while loops, if/then statements, Excel functions/formulas).
 Module
 Module 8
 Participating study
 Bachelor Industrial Engineering and Management
Required materials
Book
 Robinson, S. (2014). Simulation: The Practice of Model Development and Use (2nd ed.). Palgrave Macmillan. ISBN 9781137328021.
Recommended materials
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Instructional modes
 Lecture Practical Q&A Self study without assistance
Tests
 Simulation and Heuristics Exam
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