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Planning and Optimization Using of Flexible Manufactruing System With Petrinet to Hybrid Algorithm
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The design of an adaptable assembling framework (FMS) includes circulating various assets for accomplishing most extreme effectiveness. To give an assortment of items to clients the FMS has made a noteworthy arrangement of operational changes. Among this, format arranging is progressively significant in accomplishing profitability of FMS. The issue of this sort is combinatorial in nature and observed to be Non-deterministic Polynomial (NP) complete. This paper centers the circle design arranging of a FMS with the point of limiting the transportation remove and the backtracking separations of the Automated Guided Vehicles (AGV) utilizing the half breed Scatter Search - Particle Swarm Optimization calculation (SS-PSO). Since the Loop format has moderately low beginning expenses and contains couple of material taking care of connections with higher adaptability. SS-PSO works on binding together standards dependent on vital structures contrasted with other metaheuristic calculations, for example, GA, PSO and so forth. Half breed SS-PSO approach is connected to seven and nine machines circle format issue. It is discovered that the proposed calculation furnishes a superior arrangement with quick union rate contrasted and other metaheuristic calculations.
Keywords
Flexible Manufacturing System, Hybrid Algorithm, Particle Swarm Optimization, Scatter Search Algorithm.
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- A. Drira, H. Pierreval, and S. Hajri-Gabouj, “Facility layout problems: A survey,” Annual Reviews in Control, vol. 3, pp. 255-267, 2007.
- A. Prakash, M. K. Tiwari, and R. Shankar, “Optimal job sequence determination and operation machine allocation in flexible manufacturing systems: An approach using adaptive hierarchical ant colony algorithm,” Journal of Intelligent Manufacturing, vol. 19, no. 2, pp. 161-173, 2008.
- I. A. Chaudhry, S. Mahmood, and M. Shami, “Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms,” Journal of Central South University of Technology, vol. 18, pp. 1473-1486, 2011.
- D. Scholz, A. Pentrick, and W. G. Domschke, “STaTS: A Slicing Tree and Tabu Search based heuristic for the unequal area facility layout problem,” European Journal of Operational Research, vol. 197, no. 1, pp. 166-178, 2009.
- F. Glover, M. Laguna, and R. Martí, “Fundamentals of scatter search and path relinking,” Control and Cybernetics, vol. 29, no. 3, pp. 653-684, 2000.
- I. Castillo, J. Westerlund, S. Emet, and T. Wesrerlund, “Optimization of block layout design problems with unequal areas: A comparison of MILP and MINLP optimization methods,” Computers & Chemical Engineering, vol. 30, pp. 54-69, 2005.
- J. Jerald, P. Asokan, G. Prabaharan, and R. Saravanan, “Scheduling optimization of flexible manufacturing systems using particle swarm optimization algorithm,” International Journal of Advanced Manufacturing Technology, vol. 25, no. 9-10, pp. 964-971, 2005.
- K. Alaykyran, O. Engin, and A. Doyen, “Using ant colony optimization to solve hybrid flow shop scheduling problems,” International Journal of Advanced Manufacturing Technology, vol. 35, no. 5-6, pp. 541-550, 2007.
- M. Krishnan, T. R. Chinnusamy, and T. Karthikeyan, “Performance enhancement of flexible manufacturing system layout using scatter search algorithm,” in Proceedings of the International Conference on Latest Trends in Simulation Modeling and Analysis, NIT Calicut, Kerala, India, 2009.
- M. Krishnan, T. Karthikeyan, T. R. Chinnusamy, and K. V. Raja, “A novel hybrid metaheuristic scatter search-simulated annealing algorithm for solving flexible manufacturing system layout,” European Journal of Scientific Research, vol. 73, no. 1, pp. 52-61, 2012.
- L. Li, J. Y. H. Fuh, Y. F. Zhang, and A. Y. C. Nee, “Application of genetic algorithm to computer-aided process planning in distributed manufacturing environments,” Robotics and Computer-Integrated Manufacturing, vol. 21, no. 6, pp. 568-578, 2005.
- L. Y. Liang, and W. C. Chao, “The strategies of tabu search technique for facility layout optimization,” Automation in Construction, vol. 17, no. 6, pp. 657-669, 2008.
- L. K. Gaafar, S. A. Masoud, and A. O. Nassef, “A particle swarm-based genetic algorithm for scheduling in an agile environment,” Computers & Industrial Engineering, vol. 55, no. 3, pp. 707-720, 2008.
- A. N. Haq, T. Karthikeyan, and M. Dinesh, “Scheduling decisions in FMS using a heuristic approach,” International Journal of Advanced Manufacturing Technology, vol. 22, no. 5-6, pp. 374-379, 2003.
- R. Cheng, and M. Gen, “Loop layout design problem in flexible manufacturing system using genetic algorithms,” Computers & Industrial Engineering, vol. 34, no. 1, pp. 53-61, 1998.
- M. Saravanan, and A. N. Haq, “Evaluation of scatter-search approach for scheduling optimization of flexible manufacturing systems,” International Journal of Advanced Manufacturing Technology, vol. 38, no. 9-10, pp. 978-986, 2008.
- M. Saravanan, A. N. Haq, and A. R. Vivekraj, “Performance evaluation of the scatter search method for permutation flow shop sequencing problems,” International Journal of Advanced Manufacturing Technology, vol. 37, pp. 1200-1208, 2007.
- R. M. S. Kumar, P. Asokan, and S. Kumanan, “Design of loop layout in flexible manufacturing system using non-traditional optimization technique,” International Journal of Advanced Manufacturing Technology, vol. 38, no. 5, pp. 594-599, 2008.
- R. M. S. Kumar, P. Asokan, S. Kumanan, and B. Varma, “Scatter search algorithm for single row layout problems in FMS,” Advances in Production Engineering & Management, vol. 3, no. 4, pp. 193-204, 2008.
- S. P. Singh, and R. R. K. Sharma, “A review of different approaches to the facility layout problems,” International Journal of Advanced Manufacturing Technology, vol. 30, no. 5-6, pp. 425-433, 2006.
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