Short-Term Robustness of Production Management Systems: New Methodology

J.P.C. Kleijnen, E.G.A. Gaury

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Abstract

This paper investigates the short-term robustness of production planning and control systems. This robustness is defined here as the systems ability to maintain short-term service probabilities (i.e., the probability that the fill rate remains within a prespecified range), in a variety of environments (scenarios). For this investigation, the paper introduces a heuristic, stagewise methodology that combines the techniques of discrete-event simulation, heuristic optimization, risk or uncertainty analysis, and bootstrapping. This methodology compares production control systems, subject to a short-term fill-rate constraint while minimizing long- term work-in-process (WIP). This provides a new tool for performance analysis in operations management. The methodology is illustrated via the example of a production line with four stations and a single product; it compares Kanban, Conwip, Hybrid, and Generic production control schemes.
Original languageEnglish
Place of PublicationTilburg
PublisherOperations research
Number of pages27
Volume2000-29
Publication statusPublished - 2000

Publication series

NameCentER Discussion Paper
Volume2000-29

Keywords

  • manufacturing
  • inventory
  • risk analysis
  • robustness and sensitivity analysis
  • scenarios

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    Kleijnen, J. P. C., & Gaury, E. G. A. (2000). Short-Term Robustness of Production Management Systems: New Methodology. (CentER Discussion Paper; Vol. 2000-29). Operations research.