tailieunhanh - Metaheuristic techniques on cell formation in cellular manufacturing system

In this review article, critical assessment of various metaheuristic techniques which utilized in cell formation problem solving is made through extensive literature review. Various existing models for cell formation are argued consequently and directions for future work are presented. | Journal of Automation and Control Engineering, Vol. 1, No. 1, March 2013 Metaheuristic Techniques on Cell Formation in Cellular Manufacturing System H. Nouri Islamic Azad University, Sanandaj Branch, Sanandaj, Iran Email: ro_eagle@ Tang ., . Hang Tuah, . Ariffin, R. Samin Universiti Putra Malaysia, Malaysia Emails: {saihong, tuah, khairol, zali}@ Abstract—Cellular manufacturing system is a submission of group technology wherein are different machines or processes have been combined into cells, each of which is devoted to the fabrication of a part, product family, or limited group of families. Cell formation is necessary for implementation of cellular manufacturing. Many of methods exist for cell formation problem solving. Some of these methods are applying in traditional cell design, in fixed routines and others are applying in dynamic cells environment. In this review article, critical assessment of various metaheuristic techniques which utilized in cell formation problem solving is made through extensive literature review. Various existing models for cell formation are argued consequently and directions for future work are presented. for construction computationally complicated systems. Complex real world problems require refined systems that integrate knowledge, techniques, and models from a variety of sources. Meta-heuristic techniques are consist of Genetic Algorithm (GA), Simulated Annealing (SA), Artificial Neural Networks (ANN), Fuzzy Set theory(FS), Water Flow- A like algorithm (WFA), Particle Swarm Optimization(PSO), Bee Swarm Intelligence (BSI), Ant Colony Systems (ACO), Tabu Search (TS), Branch and Bound (B&B), Mean Field Annealing (MFA), Bacteria Foraging Optimization (BFO) etc together or separately as shown in Fig. 1. From 1990, the applications of meta-heuristic techniques to group technology problems have been inspiring with confidence [60]. The literatures in relation to applying most important .