EconPapers    
Economics at your fingertips  
 

The Non-Permutation Flow-Shop scheduling problem: A literature review

Daniel Alejandro Rossit, Fernando Tohmé and Mariano Frutos

Omega, 2018, vol. 77, issue C, 143-153

Abstract: The Non-Permutation Flow-Shop scheduling problem (NPFS) is a generalization of the traditional Permutation Flow-Shop scheduling problem (PFS) that allows changes in the job order on different machines. The flexibility that NPFS provides in models for industrial applications justifies its use despite its combinatorial complexity. The literature on this problem has expanded largely in the last decade, indicating that the topic is an active research area. This review is a contribution towards the rationalization of the developments in the field, organizing them in terms of the objective functions in the different variants of the problem. A schematic presentation of both theoretical and experimental results summarizes many of the main advances in the study of NPFS. Finally, we include a bibliometric analysis, showing the most promising lines of future development.

Keywords: Non-Permutation Flow-Shop; Scheduling; Flow-Shop; Review (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048316307289
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:77:y:2018:i:c:p:143-153

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

DOI: 10.1016/j.omega.2017.05.010

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jomega:v:77:y:2018:i:c:p:143-153