Sequential quality control in batch manufacturing

D.D. Yao and S. Zheng

Annals of Operations Research, 1999, vol. 87, issue 0, 3-30

Abstract: The objective of this article is to present an expository overview of our recent studies on developing dynamic approaches to quality control in batch manufacturing. The approaches are dynamic in the sense that they are concerned with finding policies or controls, instead of merely parametric or statistical designs. In particular, we emphasize identifying certain optimal sequential procedures and revealing their structural properties. We shall review our studies on the following issues:(i)coordination between the inspection‐repair of finished products and their follow‐upservices; (ii) coordination between inspection of different component parts in assembly lines;(iii) coordination between inspection and process revision; and(iv) inter‐stage coordination -of the inspection processes at different stages -under capacity constraints, and -between production and inspection. The basic methodology underlying our approaches is Markov decision programming (MDP). We also incorporate into MDP the usage of stochastic comparison techniques, including those based on notions of stochastic convexity and stochastic submodularity. These properties play a crucial role in revealing the structures of the policies and in proving their optimality. Copyright Kluwer Academic Publishers 1999

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018989120793 (text/html)
Access to full text is restricted to subscribers.

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:spr:annopr:v:87:y:1999:i:0:p:3-30:10.1023/a:1018989120793

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018989120793

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().