Load Dependent Lead Times — From Empirical Evidence to Mathematical Modeling

Julia Pahl (), Stefan Voß () and David L. Woodruff ()
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Julia Pahl: University of Hamburg
Stefan Voß: University of Hamburg
David L. Woodruff: University of California, Davis

A chapter in Research Methodologies in Supply Chain Management, 2005, pp 539-554 from Springer

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.”

Keywords: Supply Chain Management; Load Dependent Lead Times; Lead Times; Tactical Planning; Aggregate Planning (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1636-5_35

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DOI: 10.1007/3-7908-1636-1_35

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