期刊
JOURNAL OF INTELLIGENT MANUFACTURING
卷 21, 期 1, 页码 65-73出版社
SPRINGER
DOI: 10.1007/s10845-008-0161-x
关键词
Job shop Scheduling; Uncertain duration; Multiobjective optimisation
In this work we consider a multiobjective job shop problem with uncertain durations and crisp due dates. Ill-known durations are modelled as fuzzy numbers. We take a fuzzy goal programming approach to propose a generic multiobjective model based on lexicographical minimisation of expected values. To solve the resulting problem, we propose a genetic algorithm searching in the space of possibly active schedules. Experimental results are presented for several problem instances, solved by the GA according to the proposed model, considering three objectives: makespan, tardiness and idleness. The results illustrate the potential of the proposed multiobjective model and genetic algorithm.
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