EconPapers    
Economics at your fingertips  
 

Single Machine Models with Release Dates (Stochastic)

Michael L. Pinedo ()
Additional contact information
Michael L. Pinedo: NYU Stern School of Business, Department of Technology, Operations, and Statistics

Chapter Chapter 11 in Scheduling, 2022, pp 299-323 from Springer

Abstract: Abstract In many stochastic environments job releases occur at random points in time. This chapter focuses on single machine stochastic models with the jobs having besides random processing times also random release dates. The objective is the total expected weighted completion time. Preemptive as well as nonpreemptive models are considered. An environment with random release dates is somewhat similar to the models considered in queueing theory. In a priorityPriorityWeight queue a server (or a machine) has to process customers (or jobs) from different classes with each class having its own priority level (or weight).

Date: 2022
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:978-3-031-05921-6_11

Ordering information: This item can be ordered from
http://www.springer.com/9783031059216

DOI: 10.1007/978-3-031-05921-6_11

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 2026-01-06
Handle: RePEc:spr:sprchp:978-3-031-05921-6_11