DocumentCode :
3421868
Title :
A two-step approach for solving the flexible job shop scheduling problem
Author :
Yin, Ai-Hua ; Zhao, Xiao-Ping
Author_Institution :
UFIDA software Sch., Jiangxi Univ. of Finance & Econ., Nanchang, China
fYear :
2009
fDate :
17-19 Aug. 2009
Firstpage :
716
Lastpage :
720
Abstract :
The flexible job shop scheduling problem is one of the most difficult production scheduling problems in industry. This paper presents a two-step approach to solve this problem. In the first step, all the operations are disputed to the machines such that each operation is processed by a certain machine which means that the problem becomes the job shop scheduling problem. In the second step, a quasi-physic and quasi-human algorithm is proposed to solve the job shop scheduling problem. Our approach is tested on several common benchmarks, and the computational experiments show that this two-step approach is quite effective and efficient. Further more, The quasi-physic and quasi-human algorithm is a new idea for solving the job scheduling problem, and it could be a very good basic procedure for designing effective and efficient heuristic algorithm by combining with other heuristic strategy for the problem.
Keywords :
combinatorial mathematics; job shop scheduling; optimisation; flexible job shop scheduling problem; hard combinatorial optimization problem; quasi-human algorithm; quasi-physic algorithm; two-step approach; Computer industry; Educational institutions; Finance; Heuristic algorithms; Industrial economics; Job production systems; Job shop scheduling; Machinery production industries; Postal services; Scheduling algorithm; Flexible Job Shop Scheduling; NP hard; Quasi-Human; Quasi-Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
Type :
conf
DOI :
10.1109/GRC.2009.5255027
Filename :
5255027
Link To Document :
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