Applied Simulation Modeling
Thomson, Brooks/Cole, 2003 - Technology & Engineering - 456 pages
APPLIED SIMULATION MODELING provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages ARENA and @Risk. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from Operations Management, Manufacturing, Health Care, and Finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling. Special student editions of ARENA and @Risk are packaged with the text.
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Introduction to Simulation
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14 other sections not shown
activity view animation Arena model Asian option batch means begin service event busy cell chapter compute confidence interval conveyor copies cost customer arrives cycle Decide module decision defined dialog discrete-event simulation end service event entity estimate event graph event list event notice event routine event Schedule example exponential exponential distribution flowchart graphical modeling hierarchical modeling idle initial input interaction interarrival machine manufacturing system Markov chain mean number mean waiting Message minutes model logic model window node normal distribution number of customers number of packages observations operation option output parameters percent Petri nets phase problem Process module Pump put option queueing model queueing system random variable replications represent resource sample Schedule Arrival event scheduled event sequence server shown in Figure shows simulation model simulation run single-server queue slow copier specified spreadsheet standard deviation station statistics submodel tion tool transporters triangular distribution truck unloading workers