EconPapers    
Economics at your fingertips  
 

Stochastic Models: Preliminaries

Michael L. Pinedo ()
Additional contact information
Michael L. Pinedo: New York University

Chapter Chapter 9 in Scheduling, 2012, pp 247-265 from Springer

Abstract: Abstract Production environments in the real world are subject to many sources of uncertainty or randomness. Sources of uncertainty that may have a major impact include machine breakdowns and unexpected releases of high priority jobs. Another source of uncertainty lies in the processing times, which are often not precisely known in advance. A good model for a scheduling problem should address these forms of uncertainty.

Keywords: Processing Time; Completion Rate; Single Machine; Stochastic Dominance; Continuous Random Variable (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-1-4614-2361-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9781461423614

DOI: 10.1007/978-1-4614-2361-4_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-28
Handle: RePEc:spr:sprchp:978-1-4614-2361-4_9