GSLM 53300 System Simulation Yat-wah Wan Room: B 317; Email: ywan; Ext: 3166 1
Agenda ö house keeping issues ö applications ö useful of simulation information from Arena ö systems, models, and simulation 2
House-Keeping Issues ö prerequisite/background: undergraduate probability and statistics ö aims and objectives: covering ö simulation ö Arena of discrete-event systems as the main tool, plus others (spreadsheet) öa little bit on modeling and statistical issues of simulation 3
Contents ö first 13 lectures: first 8 Ch of the textbook Ch 1 ö Ch 2 ö Ch 3 ö Ch 4 ö Ch 5 ö Ch 6 ö ö Ch 7 ö Ch 8 What is simulation? Fundamental simulation concepts A guided tour through Arena Modeling basic operations and inputs Modeling detailed operations Statistical analysis of output from terminating simulations Intermediate modeling and steady-state statistical analysis Entity transfter 4
Contents ö last 4 lectures ö special features & unconventional models of Arena ö generation of random variates ö examples of simulation applications 5
Textbook and References ö textbook ö ö Kelton, W. David, Randall P. Sadowski, and David T. Sturrock (2010) Simulation with Arena references Hoover, Stewart V. and Ronald F. Perry (1989) Simulation: A Problem-Solving Approach ö Law, Averill M. and W. David Kelton (2000) Simulation Modeling and Analysis ö Ripley, Brian D. (2006) Stochastic Simulation ö Ross, Sheldon M. (2006) Simulation ö 6
Assessments ö Assignments 30% 40% 30% ö Project ö Final Examination 7
Applications of Simulation 8
Examples of Simulation ö searching for “simulation” on web ö ö Games Solar System Simulator Simulating Fire Patterns in Heterogeneous Landscapes Arena Software ö ö Example 1, Example 2 …. . etc. 9
Reasons to Use Simulation ö mimic reality when the real system is ö ö ö ö not available costly to build dangerous to operate difficult to visualize slow in evolution difficult to predict how about analytical methods? both deterministic and stochastic systems 10
From System to Simulation 11
Applications of Simulation Interfaces simulation papers in 2007 & 2008 ö ö ö 15 (out of 172) titles in two years simulation 15 network 14 IP 17 logistics 6 LP 12 DP 2 Inventory 16 forecasting 16 Statistic 3 NLP 3 SCM 22 marketing 10 12
Useful Information from Arena 13
Download Arena 12. 0 ö Mc. Graw-Hill Web site ö ö student center: download software, installation: STUDENT 14
Useful Information from Arena ö Start/All Programs/Rockwell Software/Arena/Online Books ö C: Program FilesRockwell SoftwareArena ö ö Book Examples Online Books Smarts 15
Systems, Models, and Simulation 16
System, Model, & Solution Role of models: describe, explain, predict, control, optimize system model solution Simulation: a special way to find the solution of a model 17
Our Simulation ö required knowledge modeling (state, dynamics, etc. ) ö analysis (input, output, verification and validation, variance reduction, optimization) ö a computer language and a simulation package ö computer simulation, after all most for stochastic systems, though … 18
Pillars of Simulation modeling computer: simulation languages & software ö Which analysis: probability & statistics is the most important? 19
System, Model, & Solution ö ö ö how to represent a real system? ö stochastic inputs what information to carry model correctly (setting the model art right)? ö correct model (setting the right model)? ö ö system model 20 how to analyze? how to optimize? solution
Issues to Simulate a System first: the amount of information to carry to represent the system (i. e. , the state of the system) ö second: the evolution of the state of the system (i. e. , the dynamics of the system) ö third: the medium to realize the (evolution of the) system ö fourth: the method to represent the system dynamics in the selected medium ö fifth: the analysis, control, and optimization of the simulation model ö 21
Examples ö simulation projects of increasing complexity ö well-defined dynamics ö chessboard ö differential equations ö well-defined problems ö simulation of real-life systems 22
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