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Load Dependent Lead Times — From Empirical Evidence to Mathematical Modeling

In: Research Methodologies in Supply Chain Management

Author

Listed:
  • Julia Pahl

    (University of Hamburg)

  • Stefan Voß

    (University of Hamburg)

  • David L. Woodruff

    (University of California, Davis)

Abstract

Summary As organizations move from creating plans for individual production lines to entire supply chains it is increasingly important to recognize that decisions concerning utilization of production resources impact the lead times that will be experienced. In this paper we give some insights into why this is the case by looking at the queuing that results in delays. In this respect, special mention should be made that it is difficult to experience related empirical data, especially for tactical planning issues. We use these insights to survey and suggest optimization models that take into account load dependent lead times and related “complications.”

Suggested Citation

  • Julia Pahl & Stefan Voß & David L. Woodruff, 2005. "Load Dependent Lead Times — From Empirical Evidence to Mathematical Modeling," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 539-554, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1636-5_35
    DOI: 10.1007/3-7908-1636-1_35
    as

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