Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1156
Title: Due-date assignment and parallel-machine scheduling with deteriorating jobs
Authors: Cheng, TCE 
Kang, L
Ng, CTD 
Keywords: Deteriorating jobs
Parallel-machine scheduling
Due-date
Issue Date: 2007
Publisher: Palgrave Macmillan
Source: Journal of the Operational Research Society, 2007, v. 58, 1103–1108 How to cite?
Journal: Journal of the Operational Research Society 
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.
URI: http://hdl.handle.net/10397/1156
ISSN: 0160-5682
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
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

20
Last Week
0
Last month
1
Citations as of Jun 8, 2016

WEB OF SCIENCETM
Citations

16
Last Week
0
Last month
0
Citations as of Aug 23, 2016

Page view(s)

355
Last Week
0
Last month
Checked on Aug 28, 2016

Download(s)

863
Checked on Aug 28, 2016

Google ScholarTM

Check

Altmetric



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