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SETSCI - Volume 4(5) (2019)
HORA2019 - International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Ürgüp, Turkey, Jul 05, 2019

Dual-Resource Constrained Flexible Job Shop Scheduling Problem with Weighted Superposition Attraction Algorithm
1Abdullah Gül University, Kayseri, Turkey
2Dokuz Eylül University, İzmir, Turkey
* Corresponding author:
Published Date: 2019-10-12   |   Page (s): 167-170   |    321     12

ABSTRACT Flexible job shop scheduling problem (FJSSP) contains two sub-problems, that is, routing and scheduling. Each operation is assigned to a machine among a set of alternative machines in the routing sub-problem, whereas the assigned operations on all machines are sequenced in the scheduling sub-problem to construct a feasible schedule. The operations cannot be processed without a qualified worker, but the worker constraint is usually ignored in the literature. The FJSSP which also considers the worker resource constraints is called the dual resource constrained FJSSP. Dual resource constrained FJSSP deals with machine assignment, order sequencing and worker assignment all together. Weighted Superposition Attraction (WSA), a recent metaheuristic approach is based on two basic mechanisms, ‘superposition’ and ‘attracted movement of agents’ for solving complex optimization problems algorithm is proposed to solve the dual resource constrained FJSSP with makespan minimization. Computational experiments performed in order to test the performance of the proposed WSA algorithm. The result of the WSA algorithm is compared with the results of the dispatching rule based approaches and greedy randomized adaptive search algorithm. The obtained results show that the WSA based algorithm is able to provide good quality solutions in reasonable time limits.
KEYWORDS Combinatorial Optimization, Flexible Job Shop Scheduling, Resource Constraints, Weighted Superposition Attraction Algorithm
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