Optimization Of Flexible Jobshop Scheduling Problem Using Attribute Oriented Mining
نویسنده
چکیده
Flexible job-shop scheduling problem (FJSSP) is an extension of the classical job-shop scheduling problem that allows an operation to be processed by any machine from a given set along different routes. It is very important in both fields of production management and combinatorial optimisation. This paper presents a new approach based on attribute oriented mining technique to solve the multi-objective flexible job-shop scheduling problem. Three minimisation objectives the maximum completion time, the total workload of machines and the workload of the critical machines are considered simultaneously. In this study, a hybrid method is used to assign operations and to determine the processing order of jobs on machines. The objectives are optimised by attribute oriented mining technique which extracts the knowledge from the solution sets to find the near optimal solution of combinatorial optimisation problems. The computational results have shown that the proposed method is a feasible and effective approach for the multi-objective flexible job-shop scheduling problems.
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