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Lot Sizing with Random Yields: A Review

Candace Arai Yano¹; Hau L. Lee²

¹ University of California, Berkeley, California · ² Stanford University, Stanford, California

This paper reviews the literature on quantitatively-oriented approaches for determining lot sizes when production or procurement yields are random. We discuss issues related to the modeling of costs, yield uncertainty, and performance in the context of systems with random yields. We provide a review of the existing literature, concentrating on descriptions of the types of problems that have been solved and important structural results. We identify a variety of shortcomings of the literature in addressing problems encountered in practice, and suggest directions for future research.

DOI

10.1287/opre.43.2.311

Volume

43 (2)

Pages

311-334

Language

en

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Sources

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