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  • This paper describes a model of job shop scheduling, which covers the most frequent conditions of real-life production: assembly and distribution operations, release dates, setup and transfer times, overlapping processes. As a modeling tool we choose an extended disjunctive graph. The resulting model can be solved by means of stochastic heuristic methods (simulated annealing, taboo search, genetic algorithms). An example solved by simulated annealing is presented.
  • This paper describes a model of job shop scheduling, which covers the most frequent conditions of real-life production: assembly and distribution operations, release dates, setup and transfer times, overlapping processes. As a modeling tool we choose an extended disjunctive graph. The resulting model can be solved by means of stochastic heuristic methods (simulated annealing, taboo search, genetic algorithms). An example solved by simulated annealing is presented. (en)
Title
  • Modeling Job Shop Scheduling Problem for Real-Life Conditions
  • Modeling Job Shop Scheduling Problem for Real-Life Conditions (en)
skos:prefLabel
  • Modeling Job Shop Scheduling Problem for Real-Life Conditions
  • Modeling Job Shop Scheduling Problem for Real-Life Conditions (en)
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  • RIV/00216305:26210/02:PU31549!RIV/2003/MSM/262103/N
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  • 357-718
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  • Z(MSM 261100009)
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  • 653732
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  • RIV/00216305:26210/02:PU31549
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  • job shop scheduling, disjunctive graph, transfer batches, assembly/distribution operations (en)
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  • [6867188B02B2]
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  • Brno
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  • Brno, Czech Republic
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  • Proceedings of the 8th International Conference on Soft Computing MENDEL 2002
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  • Dvořák, Jiří
  • Majer, Petr
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  • Vysoké učení technické v Brně
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  • 80-214-2135-5
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  • 26210
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