Partial Characterization of Optimal Hedging Point Policies in Unreliable Two-Part-Type Manufacturing Systems

N. Srivatsan and Yves Dallery
Additional contact information
N. Srivatsan: Intel Corporation, Chandler, Arizona
Yves Dallery: Université Pierre et Marie Curie, Paris, France

Operations Research, 1998, vol. 46, issue 1, 36-45

Abstract: The production control problem in unreliable manufacturing systems has generated a great deal of interest recently. The goal is the real-time calculation of production rates to minimize total expected surplus and backlog costs in a production system. A class of feedback control policies, called hedging point policies, has been studied in literature and shown to be optimal for certain single-part-type systems. This paper focuses mainly on the performance of hedging point policies in two-part-type systems. We first generalize known stability results for hedging point policies in single-part-type systems and extend them to two-part-type systems. An average cost analysis of trajectories is then used to partially characterize an optimal policy belonging to this class. A complete characterization is obtained for special parameter values. The results in this paper provide insights for designing simple yet effective heuristics for controlling manufacturing systems producing many part-types.

Keywords: Manufacturing; productivity; scheduling unreliable manufacturing; Dynamic programming; application; scheduling multipart system; Production/scheduling; stochastic; manufacturing systems (search for similar items in EconPapers)
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.46.1.36 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:46:y:1998:i:1:p:36-45

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().