Conference Proceeding Article
Through empirical comparison of classical job shop problems (JSP) with multi-machine consideration, we find that the objective to minimize the sum of weighted tardiness has a better wait property compared with the objective to minimize the makespan. Further, we test the proposed Iterative Minimization Micro-model (IMM) heuristic method with the mixed integer programming (MIP) solution by CPLEX. For multi-machine problems, the IMM heuristic method is faster and achieves a better solution. Finally, for a large problem instance with 409 jobs and 30 types of machines, IMM-heuristic method is compared with ProModel and we find that the heuristic method is slightly better.
Job Shop Scheduling, Multiple Machine, infinite in-process wait buffer
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
IEEE Conference on Cybernetics and Intelligent Systems CIS 2008: 21-24 Sept. 2008, Chengdu, China
City or Country
ZHAO, Z. J.; KIM, J.; LUO, M.; LAU, Hoong Chuin; and GE, S. S..
A heuristic method for job-shop scheduling with an infinite wait buffer: From one-machine to multi-machine problems. (2008). IEEE Conference on Cybernetics and Intelligent Systems CIS 2008: 21-24 Sept. 2008, Chengdu, China. 1198-1203. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/554
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