Routing and scheduling in a flexible job shop by tabu search
Annals of Operations Research - Special issue on Tabu search
A tutorial survey of job-shop scheduling problems using genetic algorithms—I: representation
Computers and Industrial Engineering
Integrating maintenance and production decisions in a hierarchical production planning environment
Computers and Operations Research - Special issue on aggregation and disaggregation in operations research
Explicit building-block multiobjective genetic algorithms: theory, analysis, and development
Explicit building-block multiobjective genetic algorithms: theory, analysis, and development
Computers in Industry - Special issue: Application of genetics algorithms in industry
Considering scheduling and preventive maintenance in the flowshop sequencing problem
Computers and Operations Research
A genetic algorithm for the Flexible Job-shop Scheduling Problem
Computers and Operations Research
Maintenance scheduling and production control of multiple-machine manufacturing systems
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
The measure of Pareto optima applications to multi-objective metaheuristics
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
A real-world test problem for EMO algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
IEEE Transactions on Evolutionary Computation
Expert Systems with Applications: An International Journal
Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling
Applied Soft Computing
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper investigates integrated flexible job shop problem (FJSP) with preventive maintenance (PM) activities under the multi-objective optimization approaches. Finding compromise solutions between the production objectives and maintenance ones is under consideration. In order to carry out the maintenance activities, reliability models are employed. This paper attempts to simultaneously optimize two objectives: the minimization of the makespan for the production part and the minimization of the system unavailability for the maintenance part. For doing it so, two decisions are taken at the same time: finding the appropriate assignment of n jobs on m machines in order to minimize the makespan and deciding when to execute the PM activities in order to minimize the system unavailability. Both the maintenance activity numbers and maintenance intervals are not fixed in advance. Four multi-objective optimization methods are compared to find the Pareto-optimal front in the flexible job-shop problem case. Promising the obtained results, a benchmark with a large number of test instances (more than 4800) and meticulous care is employed.