369 0

Common due-date assignment and scheduling with sequence-dependent setup times: a case study on a paper remanufacturing system

Title
Common due-date assignment and scheduling with sequence-dependent setup times: a case study on a paper remanufacturing system
Author
이동호
Keywords
Due-date assignment; Heuristics; Parallel Machines; Sequence-Dependent Setup Times
Issue Date
2012-05
Publisher
KORMS
Citation
Management Science & Financial Engineering, Vol.19, No.1 [2012], p29-36
Abstract
This paper considers common due-date assignment and scheduling on parallel machines. The main decisions are: (a) deter-mining the common due-date; (b) allocating jobs to machines; and (c) sequencing the jobs assigned to each machine. The objective is to minimize the sum of the penalties associated with common due-date assignment, earliness and tardiness. As an extension of the existing studies on the problem, we consider sequence-dependent setup times that depend on the type of job just completed and on the job to be processed. The sequence-dependent setups, commonly found in various manufacturing systems, make the problem much more complicated. To represent the problem more clearly, a mixed integer programming model is suggested, and due to the complexity of the problem, two heuristics, one with individual sequence-dependent setup times and the other with aggregated sequence-dependent setup times, are suggested after analyzing the characteristics of the problem. Computational experiments were done on a number of test instances and the results are reported.
URI
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=E1MSAQ_2013_v19n1_29http://hdl.handle.net/20.500.11754/67029
ISSN
2287-2043
DOI
10.7737/MSFE.2013.19.1.029
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

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

BROWSE