DocumentCode :
2218361
Title :
Two-Machine Flow Shop Scheduling with Re-entrance
Author :
Jing, Caixia ; Qian, Xingsan ; Tang, Guochun
Author_Institution :
Coll. of Manage., Univ. of Shanghai for Sci. & Technol., Shanghai
Volume :
2
fYear :
2008
fDate :
19-21 Dec. 2008
Firstpage :
528
Lastpage :
531
Abstract :
Re-entrant two machine flow shop scheduling problem with the objective of minimizing makespan is considered. There are n jobs to be processed on two machines and each job has the processing route (M1, M2, M1, M2, ..., M1, M2). In contrast to the classical scheduling assumption that each job visits each machine at most once, in this re-entrant shop, jobs can visit certain machines more than once. The re-entrant characteristic makes the problem much more complicated and intractable. In this paper, the re-entrant problem can be transformed into a two-machine flow shop scheduling problem subject to parallel chain precedence constraints, which is equivalent to the single machine scheduling subject to precedence delays under some conditions. Based on the relationships explored for the three scheduling problems, polynomial algorithms are developed for some special cases of the re-entrant problem.
Keywords :
constraint theory; flow shop scheduling; job shop scheduling; minimisation; polynomials; single machine scheduling; job scheduling; machine flow shop scheduling; makespan minimization; parallel chain precedence constraints; polynomial algorithms; processing route; reentrant shop; single machine scheduling; Educational institutions; Engineering management; Heuristic algorithms; Industrial engineering; Information management; Innovation management; Job shop scheduling; Signal processing algorithms; Single machine scheduling; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-0-7695-3435-0
Type :
conf
DOI :
10.1109/ICIII.2008.81
Filename :
4737701
Link To Document :
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