EconPapers    
Economics at your fingertips  
 

Using information about machine failures to control flowlines

C. Roger Glassey, Sridhar Seshadri () and Jevaveerasingam Shanthikumar

Mathematical Methods of Operations Research, 1997, vol. 45, issue 3, 455-481

Abstract: We study the problem of using information about the type of machine failures to control production. When each station in a two stage flowline has a single machine, the processing time distributions are Erlang, and the time to fail as well repair a machine are exponentially distributed; we show that the optimal policy for controlling the flowline is completely specified by selecting a produce up to level called threshold level corresponding to each type of machine failure. These threshold levels are shown to be ordered as per the rate at which the failed downstream station can be repaired. These results are partially extended to the case when there are multiple machines at the two stations of the flowline. We then summarize numerical results that illustrate when it is worth while to use information about failures in controlling inputs to the flowline. Copyright Physica-Verlag 1997

Keywords: Production/Scheduling; Markov Decision Theory; Semiconductor Industry (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/BF01194790 (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:mathme:v:45:y:1997:i:3:p:455-481

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186

DOI: 10.1007/BF01194790

Access Statistics for this article

Mathematical Methods of Operations Research is currently edited by Oliver Stein

More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:mathme:v:45:y:1997:i:3:p:455-481