Single Machine Models (Deterministic)

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

Chapter Chapter 3 in Scheduling, 2022, pp 35-71 from Springer

Abstract: Abstract The single machine environment is very simple and a special case of all other environments. Single machine models often have properties that neither machines in parallel nor machines in series have. The results that can be obtained for single machine models not only provide insights into the single machine environment, but they also provide a basis for heuristics that are applicable to more complicated machine environments.

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_3

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

DOI: 10.1007/978-3-031-05921-6_3

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 ().