Decision analysis for job shop scheduling

A.A. Cunningham and I.B. Turner

Omega, 1973, vol. 1, issue 6, 733-746

Abstract: Following a brief account of its principal components, the framework of statistical decision theory is shown to be applicable to selecting schedules by a heuristic procedure for the general J x M job shop problem. Sequential Bayesian strategies and explicit forms of stopping rules are obtained for the search procedure, together with bounds on required sample size.

Date: 1973
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0305-0483(73)90090-X
Full text for ScienceDirect subscribers only

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:eee:jomega:v:1:y:1973:i:6:p:733-746

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().