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Simulation Modeling and Analysis
Averill M. Law,W. David Kelton +1 more
TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.Abstract:
From the Publisher:
This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.read more
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Journal ArticleDOI
Job and Family Scheduling of a Flow-Line Manufacturing Cell: A Simulation Study
Urban Wemmerlöv,Asoo J. Vakharia +1 more
TL;DR: In this paper, the authors compared four part family scheduling procedures, which seek to avoid setups by sequencing similar jobs consecutively, with four job scheduling procedures which are oblivious of part family affiliations.
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Farm-Level Modeling for Bigger Issues
TL;DR: In this paper, the authors discuss how farm-level modelers can best extend their research to address issues broader than just farm income and describe how trade-off curves are a valuable tool for summarizing the missing information to policy makers on economic problems related to sustainability issues and agriculture.
Journal ArticleDOI
Perspectives of approximate dynamic programming
TL;DR: There is actually a common theme to these strategies, and underpinning the entire field remains the fundamental algorithmic strategies of value and policy iteration that were first introduced in the 1950’s and 60s.
Journal ArticleDOI
Business process re-engineering (BPR)—a study of the software tools currently available
TL;DR: In this paper, the authors present a methodology that can be used to compare different business process re-engineering (BPR) software tools, including DECmodel, ProcessWise, Business Design Facility (BDF), Enterprise Modelling System (EMS) and FirstStep.
Proceedings ArticleDOI
A comparison of five steady-state truncation heuristics for simulation
K.P. White,M.J. Cobb,S.C. Spratt +2 more
TL;DR: In general, the MSER heuristics outperformed the three rules based on bias detection, with Spratt's (1998) MSER-5 the most effective and robust choice for a general-purpose method.