Evaluating the Robustness of Production Schedules using Discrete-Event Simulation
| Autor: | Guilherme Ernani Vieira, Enzo Morosini Frazzon, Michael Freitag, Mirko Kück |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Schedule 021103 operations research Job shop scheduling business.industry Stochastic behavior Simulation modeling 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology Flow shop scheduling Industrial engineering Representativeness heuristic 020901 industrial engineering & automation Control and Systems Engineering Discrete event simulation business Simulation |
| Zdroj: | IFAC-PapersOnLine. 50:7953-7958 |
| ISSN: | 2405-8963 |
| Popis: | Complex stochastic job-shop scheduling problems can be handled by simulation-based optimization (SBO), combining the optimization capabilities of meta-heuristics with the system representativeness of simulation models. In order to explore the potential of coupling optimization and simulation techniques in different job shop scheduling scenarios, this paper presents some of the ideas on an ongoing research project developing an SBO strategy coupling genetic algorithm and discrete-event simulation. Furthermore, this paper describes an approach to aid in the analysis of computed schedule feasibility subject to stochastic behavior, which is the case for most of the real world industries. One of the research goals is to provide an efficient and effective way to evaluate schedule robustness and to find robust schedules. The research may significantly contribute to businesses where scheduling changes are expensive, like in airline and train companies and automakers industries and suppliers. |
| Databáze: | OpenAIRE |
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