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Lot Sizes in Serial Manufacturing with Random Yields

Published online by Cambridge University Press:  27 July 2009

Matthew J. Sobel
Matthew J. Sobel
Affiliation:
W. A. Harriman School for Management & Policy, SUNY Stony Brook, Stony Brook, New York 11794-3775
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Abstract

In a job-shop manufacturing environment, consider a model in which the “job” is processed at several stages with random yields. Nondefective items move through the stages to supply a possibly random demand. At each stage there are linear costs of processing and work-in-process inventories and there are convex costs of end-item inventory. Decisions specify the lot sizes that are processed at the various stages. Easy computations specify a simply structured decision rule that minimizes the expected total cost.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 9 , Issue 1 , January 1995 , pp. 151 - 157
Copyright
Copyright © Cambridge University Press 1995

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References

1.Clark, A.J. & Scarf, H. (1960). Optimal policies for a multi-echelon inventory problem. Management Science 6: 475–490.CrossRefGoogle Scholar
2.Lee, H.L. & Yano, C.A. (1988). Production control in multistage systems with variable yield losses. Operations Research 36: 269–278.Google Scholar
3.Lieberman, G.J. (1952). Multistation inspection schemes. Journal of the American Statistical Association 47: 466–474.CrossRefGoogle Scholar
4.Sinha, C. & Sobel, M.J. (1994). Work order release rules in serial manufacturing. Unpublished manuscript.Google Scholar
5.Zipkin, P. (1986). Models for design and control of stochastic, multi-item batch production systems. Operations Research 34: 91–104.Google Scholar