Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1156
PIRA download icon_1.1View/Download Full Text
Title: Due-date assignment and parallel-machine scheduling with deteriorating jobs
Authors: Cheng, TCE 
Kang, L
Ng, CTD 
Issue Date: 2007
Source: Journal of the Operational Research Society, 2007, v. 58, 1103–1108
Abstract: In this paper we study the problem of scheduling n deteriorating jobs on m identical parallel machines. Each job's processing time is a nondecreasing function of its start time. The problem is to determine an optimal combination of the due-date and schedule so as to minimize the sum of the due-date, earliness and tardiness penalties. We show that this problem is NP-hard, and we present a heuristic algorithm to find near-optimal solutions for the problem. When the due-date penalty is 0, we present a polynomial time algorithm to solve it.
Keywords: Deteriorating jobs
Parallel-machine scheduling
Due-date
Publisher: Palgrave Macmillan
Journal: Journal of the Operational Research Society 
ISSN: 0160-5682
EISSN: 1476-9360
DOI: 10.1057/palgrave.jors.2602225
Rights: © 2007 Operational Research Society Ltd.
This is a post-peer-review, pre-copyedit version of an article published in Journal of the Operational Research Society. The definitive publisher-authenticated version T.C.E. Cheng, L.Y. Kang and C.T. Ng, Journal of the Operational Research Society, 58, 1103–1108 (2007) is available online at: http://www.palgrave-journals.com/jors/journal/v58/n8/abs/2602225a.html.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
JORS Paper #7713.pdfPre-published version161.08 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

124
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

218
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

25
Last Week
0
Last month
1
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
0
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.