DocumentCode :
2968910
Title :
Modeling a bi-criteria two stage assembly flow shop scheduling problem with sequence dependent setup times
Author :
Maboudian, Y. ; Shafaei, R.
Author_Institution :
Dept. of Ind. Eng., Khaje Nasir Univ. of Technol., Tehran, Iran
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
1748
Lastpage :
1752
Abstract :
In this paper, we address a two-stage assembly flow shop scheduling problem with sequence dependent setup times, which minimizes makespan (Cmax) and maximum tardiness (Tmax) as objectives. In this problem, there are n products to be produced; each product has m unique parts to be processed concurrently on m parallel machines at first stage, with each part on a specified machine. At the second stage final products are made by assembling m parts on a single machine. Sequence dependent setup times in both stages are considered as an important presumption to declare a more realistic problem. First, the problem is formulated by a non-linear mathematical model and a lower bound for the problem is proposed and some instances of different and fairly small size problems are generated and solved using Lingo 8.0 optimization software. Finally, the obtained results are compared with those of total enumeration and concluding remarks are made.
Keywords :
assembling; flow shop scheduling; minimisation; nonlinear programming; single machine scheduling; Lingo 8.0 optimization software; bicriteria two stage assembly flow shop scheduling problem; makespan minimisation; maximum tardiness minimisation; nonlinear mathematical model; parallel machines; sequence dependent setup times; Analytical models; Application software; Assembly; Computer aided manufacturing; Industrial engineering; Job shop scheduling; Mathematical model; Microcomputers; Parallel machines; Processor scheduling; Analytical model; Total enumeration; Two stage assembly flow shop scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373156
Filename :
5373156
Link To Document :
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