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Resource supportability simulation model for a man–machine production system

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  • Dimitri, Golenko-Ginzburg
  • Shimon, Sitniakovski
  • Ljubisa, Papic

Abstract

A man–machine production system (MMPS) comprising numerous operations to be processed in a definite technological sequence, is considered. The duration of each operation is random and the corresponding probability density function is pregiven. Certain operations entering the MMPS require extremely costly and rare resources which have to be prepared and delivered from outside and can be at the system’s disposal within a short time span. Other operations require non-constrained and constrained resources which are available every time period. Since the system is not fully automatic, control actions, including both the resource delivering and the resource reallocation, are introduced by decision makers.

Suggested Citation

  • Dimitri, Golenko-Ginzburg & Shimon, Sitniakovski & Ljubisa, Papic, 2000. "Resource supportability simulation model for a man–machine production system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 53(1), pages 105-112.
    • Handle: RePEc:eee:matcom:v:53:y:2000:i:1:p:105-112
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    References listed on IDEAS

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    1. Golenko-Ginzburg, Dimitri & Gonik, Aharon, 1997. "Stochastic network project scheduling with non-consumable limited resources," International Journal of Production Economics, Elsevier, vol. 48(1), pages 29-37, January.
    2. Golenko-Ginzburg, Dimitri & Gonik, Aharon, 1998. "A heuristic for network project scheduling with random activity durations depending on the resource allocation," International Journal of Production Economics, Elsevier, vol. 55(2), pages 149-162, July.
    3. Golenko-Ginzburg, Dimitri & Gonik, Aharon, 1997. "Job-shop resource scheduling via simulating random operations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 44(5), pages 427-440.
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