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A continuous buffer allocation model using stochastic processes

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  • Kolb, Oliver
  • Göttlich, Simone

Abstract

The buffer allocation problem consists of a dynamical description of the underlying production process combined with stochastic processing times. The aim is to find optimal buffer sizes averaged over several samples. Starting from a time-discrete recursion we derive a time-continuous model supplemented with a stochastic process. The new model is used for simulation and optimization purposes as well. Numerical experiments show the efficiency of our approach compared to other optimization techniques.

Suggested Citation

  • Kolb, Oliver & Göttlich, Simone, 2015. "A continuous buffer allocation model using stochastic processes," European Journal of Operational Research, Elsevier, vol. 242(3), pages 865-874.
    • Handle: RePEc:eee:ejores:v:242:y:2015:i:3:p:865-874
    DOI: 10.1016/j.ejor.2014.10.065
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    References listed on IDEAS

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    1. Stefan Helber & Katja Schimmelpfeng & Raik Stolletz & Svenja Lagershausen, 2011. "Using linear programming to analyze and optimize stochastic flow lines," Annals of Operations Research, Springer, vol. 182(1), pages 193-211, January.
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    Cited by:

    1. Junguang Zhang & Xiwei Song & Estrella Díaz, 2017. "Critical chain project buffer sizing based on resource constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 55(3), pages 671-683, February.

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