DocumentCode
2489665
Title
Scheduling job operations in an automatic assembly line
Author
Shin, Kang G. ; Zheng, Qin
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fYear
1990
fDate
13-18 May 1990
Firstpage
176
Abstract
The problem of scheduling job operations in an automatic assembly line used for manufacturing a small to medium volume of mixed workparts is addressed. The assembly line model differs from the classical flow shop model in the following three aspects: (1) there are no buffers at machine stations, (2) constraints associated with the material transport system are included, and (3) for each batch production, workparts are distinguished in groups, rather than individually. An optimal algorithm that requires very little computation is derived by minimizing the total finish time for two machine assembly lines. This result is generalized to the problem of scheduling an assembly line with m >2 machines processing single-operation jobs. In order to reduce the computational complexity of the latter problem, heuristic algorithms are also proposed and shown to work quite well for all the cases considered. The solution to the problem of scheduling an assembly line with m >2 machines processing multioperation jobs is discussed
Keywords
assembling; heuristic programming; scheduling; automatic assembly line; batch production; computational complexity; heuristic algorithms; job operations; material transport system; mixed workparts; multioperation jobs; optimal algorithm; scheduling; Assembly; Flexible manufacturing systems; Heuristic algorithms; Job shop scheduling; Laboratories; Manufacturing automation; Optimal scheduling; Processor scheduling; Pulp manufacturing; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location
Cincinnati, OH
Print_ISBN
0-8186-9061-5
Type
conf
DOI
10.1109/ROBOT.1990.125968
Filename
125968
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