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Using linear programming to analyze and optimize stochastic flow lines

  • Helber, Stefan
  • Schimmelpfeng, Katja
  • Stolletz, Raik
  • Lagershausen, Svenja

This paper presents a linear programming approach to analyze and optimize flow lines with limited buffer capacities and stochastic processing times. The basic idea is to solve a huge but simple linear program that models an entire simulation run of a multi-stage production process in discrete time, to determine a production rate estimate. As our methodology is purely numerical, it offers the full modeling flexibility of stochastic simulation with respect to the probability distribution of processing times. However, unlike discrete-event simulation models, it also offers the optimization power of linear programming and hence allows to solve buffer allocation problems. We show under which conditions our method works well by comparing its results to exact values for two-machine models and approximate simulation results for longer lines.

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File URL: http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-389.pdf
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Paper provided by Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Hannover Economic Papers (HEP) with number dp-389.

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Length: 20 pages
Date of creation: Feb 2008
Date of revision:
Handle: RePEc:han:dpaper:dp-389
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  1. Helber, Stefan & Henken, Kirsten, 2007. "Profit-oriented shift scheduling of inbound contact centers with skills-based routing, impatient customers, and retrials," Hannover Economic Papers (HEP) dp-379, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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