Automatic clustering for generalised cell formation using a hybrid particle swarm optimisation

References

• Adenso-Dı́az, B., S. Lozano, J. Racero, and F. Guerrero. 2001. “Machine Cell Formation in Generalized Group Technology.” Computers & Industrial Engineering 41 (2): 227–240.
   Web of Science ®Google Scholar
• Adil, G. K., D. Rajamani, and D. Strong. 1996. “Cell Formation Considering Alternate Routeings.” International Journal of Production Research 34 (5): 1361–1380.10.1080/00207549608904970
   Web of Science ®Google Scholar
• Anvari, M., M. S. Mehrabad, and F. Barzinpour. 2010. “Machine–part Cell Formation Using a Hybrid Particle Swarm Optimization.” The International Journal of Advanced Manufacturing Technology 47: 745–754.10.1007/s00170-009-2202-9
   Web of Science ®Google Scholar
• Baykasoğlu, A. 2004. “A Meta-heuristic Algorithm to Solve Quadratic Assignment Formulations of Cell Formation Problems without Presetting Number of Cells.” Journal of Intelligent Manufacturing 15 (6): 753–759.10.1023/B:JIMS.0000042661.56171.bb
   Web of Science ®Google Scholar
• Caux, C., R. Bruniaux, and H. Pierreval. 2000. “Cell Formation with Alternative Process Plans and Machine Capacity Constraints: A New Combined Approach.” International Journal of Production Economics 64: 279–284.10.1016/S0925-5273(99)00065-1
   Web of Science ®Google Scholar
• Díaz, J. A., D. E. Luna, and C. A. Zetina. 2013. “A Hybrid Algorithm for the Manufacturing Cell Formation Problem.” Journal of Heuristics 19 (1): 77–96.10.1007/s10732-013-9216-z
   Web of Science ®Google Scholar
• Falkenauer, E. 1998. Genetic Algorithms for Grouping Problems. New York: Wiley.
   Google Scholar
• Gonçalves, J. F., and M. G. C. Resende. 2004. “An Evolutionary Algorithm for Manufacturing Cell Formation.” Computers & Industrial Engineering 47: 247–273.
   Web of Science ®Google Scholar
• Hu, L., and K. Yasuda. 2006. “Minimising Material Handling Cost in Cell Formation with Alternative Processing Routes by Grouping Genetic Algorithm.” International Journal of Production Research 44 (11): 2133–2167.10.1080/00207540500336108
   Web of Science ®Google Scholar
• Hwang, H., and P. Ree. 1996. “Routes Selection for the Cell Formation Problem with Alternative Part Process Plans.” Computers & Industrial Engineering 30 (3): 423–431.
   Web of Science ®Google Scholar
• Jabal Ameli, M. S., J. Arkat, and F. Barzinpour. 2008. “Modelling the Effects of Machine Breakdowns in the Generalized Cell Formation Problem.” The International Journal of Advanced Manufacturing Technology 39: 838–850.10.1007/s00170-007-1269-4
   Web of Science ®Google Scholar
• James, T. L., E. C. Brown, and K. B. Keeling. 2007. “A Hybrid Grouping Genetic Algorithm for the Cell Formation Problem.” Computers & Operations Research 34 (7): 2059–2079.
   Web of Science ®Google Scholar
• Jarboui, B., M. Cheikh, P. Siarry, and A. Rebai. 2007. “Combinatorial Particle Swarm Optimization (CPSO) for Partitional Clustering Problem.” Applied Mathematics and Computation 192 (2): 337–345.10.1016/j.amc.2007.03.010
   Web of Science ®Google Scholar
• Kao, Y., and C. C. Chen. 2013. “A Differential Evolution Fuzzy Clustering Approach to Machine Cell Formation.” The International Journal of Advanced Manufacturing Technology 65: 1247–1259.10.1007/s00170-012-4254-5
   Web of Science ®Google Scholar
• Kao, Y., and C. H. Lin. 2012. “A PSO-based Approach to Cell Formation Problems with Alternative Process Routings.” International Journal of Production Research 50 (15): 4075–4089.10.1080/00207543.2011.590541
   Web of Science ®Google Scholar
• Kasilingam, R. G., and R. S. Lashkari. 1991. “Cell Formation in the Presence of Alternate Process Plans in Flexible Manufacturing Systems.” Production Planning & Control 2 (2): 135–141.
   Google Scholar
• Kennedy, J., and R. C. Eberhart. 1995. “Particle Swarm Optimization.” Proceedings of IEEE International Conference on Neural Networks 4: 1942–1948.
   Google Scholar
• Kennedy, J., and R. C. Eberhart. 1997. “A Discrete Binary Version of the Particle Swarm Algorithm.” Proceedings of IEEE International Conference on Systems Man, and Cybernetics 5: 4104–4108.
   Google Scholar
• Kusiak, A. 1987. “The Generalized Group Technology Concept.” International Journal of Production Research 25 (4): 561–569.10.1080/00207548708919861
   Web of Science ®Google Scholar
• Kusiak, A., and M. Cho. 1992. “Similarity Coefficient Algorithms for Solving the Group Technology Problem.” International Journal of Production Research 30 (11): 2633–2646.10.1080/00207549208948181
   Web of Science ®Google Scholar
• Lee, M. K., H. S. Luong, and K. Abhary. 1997. “A Genetic Algorithm Based Cell Design Considering Alternative Routing.” Computer Integrated Manufacturing Systems 10 (2): 93–108.10.1016/S0951-5240(97)00001-3
   Google Scholar
• Lei, D., and Z. Wu. 2005. “Tabu Search Approach Based on a Similarity Coefficient for Cell Formation in Generalized Group Technology.” International Journal of Production Research 43 (19): 4035–4047.10.1080/00207540500151283
   Web of Science ®Google Scholar
• Li, X., M. F. Baki, and Y. P. Aneja. 2010. “An Ant Colony Optimization Metaheuristic for Machine–part Cell Formation Problems.” Computers & Operations Research 37 (12): 2071–2081.
   Web of Science ®Google Scholar
• Logendran, R., P. Ramakrishna, and C. Sriskandarajah. 1994. “Tabu Search-based Heuristics for Cellular Manufacturing Systems in the Presence of Alternative Process Plans.” International Journal of Production Research 32 (2): 273–297.10.1080/00207549408956933
   Web of Science ®Google Scholar
• Moon, Y. B., and S. C. Chi. 1992. “Generalized Part Family Formation Using Neural Network Techniques.” Journal of Manufacturing Systems 11 (3): 149–159.10.1016/0278-6125(92)90001-V
   Web of Science ®Google Scholar
• Nagi, R., G. Harhalakis, and J. M. Proth. 1990. “Multiple Routings and Capacity Considerations in Group Technology Applications.” International Journal of Production Research 28 (12): 2243–2257.
   Web of Science ®Google Scholar
• Noktehdan, A., B. Karimi, and A. H. Kashan. 2010. “A Differential Evolution Algorithm for the Manufacturing Cell Formation Problem Using Group Based Operators.” Expert Systems with Applications 37 (7): 4822–4829.10.1016/j.eswa.2009.12.033
   Web of Science ®Google Scholar
• Onwubolu, G. C., and M. Mutingi. 2001. “A Genetic Algorithm Approach to Cellular Manufacturing Systems.” Computers & Industrial Engineering 39 (1–2): 125–144.
   Web of Science ®Google Scholar
• Papaioannou, G., and J. M. Wilson. 2010. “The Evolution of Cell Formation Problem Methodologies Based on Recent Studies (1997–2008): Review and Directions for Future Research.” European Journal of Operational Research 206 (3): 509–521.10.1016/j.ejor.2009.10.020
   Web of Science ®Google Scholar
• Paydar, M. M., and M. Saidi-Mehrabad. 2013. “A Hybrid Genetic-variable Neighborhood Search Algorithm for the Cell Formation Problem Based on Grouping Efficacy.” Computers & Operations Research 40 (4): 980–990.
   Web of Science ®Google Scholar
• Rezaeian, J., N. Javadian, R. Tavakkoli-Moghaddam, and F. Jolai. 2011. “A Hybrid Approach Based on the Genetic Algorithm and Neural Network to Design an Incremental Cellular Manufacturing System.” Applied Soft Computing 11 (6): 4195–4202.10.1016/j.asoc.2011.03.013
   Web of Science ®Google Scholar
• Safaei, N., M. Saidi-Mehrabad, and M. S. Jabal-Ameli. 2008. “A Hybrid Simulated Annealing for Solving an Extended Model of Dynamic Cellular Manufacturing System.” European Journal of Operational Research 185 (2): 563–592.10.1016/j.ejor.2006.12.058
   Web of Science ®Google Scholar
• Sankaran, S., and R. G. Kasilingam. 1990. “An Integrated Approach to Cell Formation and Part Routing in Group Technology Manufacturing Systems.” Engineering Optimization 16 (3): 235–245.10.1080/03052159008941175
   Google Scholar
• Selim, H. M., R. G. Askin, and A. J. Vakharia. 1998. “Cell Formation in Group Technology: Review, Evaluation and Directions for Future Research.” Computers & Industrial Engineering 34 (1): 3–20.
   Web of Science ®Google Scholar
• Sofianopoulou, S. 1999. “Manufacturing Cells Design with Alternative Process Plans and/or Replicate Machines.” International Journal of Production Research 37 (3): 707–720.10.1080/002075499191742
   Web of Science ®Google Scholar
• Spiliopoulos, K., and S. Sofianopoulou. 2007. “Manufacturing Cell Design with Alternative Routings in Generalized Group Technology: Reducing the Complexity of the Solution Space.” International Journal of Production Research 45 (6): 1355–1367.10.1080/00207540600719674
   Web of Science ®Google Scholar
• Tariq, A., I. Hussain, and A. Ghafoor. 2009. “A Hybrid Genetic Algorithm for Machine-part Grouping.” Computers & Industrial Engineering 56 (1): 347–356.
   Web of Science ®Google Scholar
• Tunnukij, T., and C. Hicks. 2009. “An Enhanced Grouping Genetic Algorithm for Solving the Cell Formation Problem.” International Journal of Production Research 47 (7): 1989–2007.10.1080/00207540701673457
   Web of Science ®Google Scholar
• Won, Y. 2000. “New P-Median Approach to Cell Formation with Alternative Process Plans.” International Journal of Production Research 38 (1): 229–240.10.1080/002075400189662
   Web of Science ®Google Scholar
• Won, Y., and S. Kim. 1994. “An Assignment Method for the Part-machine Cell Formation Problem in the Presence of Multiple Process Routes.” Engineering Optimization 22 (3): 231–240.10.1080/03052159408941336
   Web of Science ®Google Scholar
• Won, Y., and S. Kim. 1997. “Multiple Criteria Clustering Algorithm for Solving the Group Technology Problem with Multiple Process Routings.” Computers & Industrial Engineering 32 (1): 207–220.
   Web of Science ®Google Scholar
• Wu, T. H., J. F. Chen, and J. Y. Yeh. 2004. “A Decomposition Approach to the Cell Formation Problem with Alternative Process Plans.” The International Journal of Advanced Manufacturing Technology 24: 834–840.10.1007/s00170-003-1749-0
   Web of Science ®Google Scholar
• Wu, T. H., C. C. Chang, and J. Y. Yeh. 2009. “A Hybrid Heuristic Algorithm Adopting Both Boltzmann Function and Mutation Operator for Manufacturing Cell Formation Problems.” International Journal of Production Economics 120 (2): 669–688.10.1016/j.ijpe.2009.04.015
   Web of Science ®Google Scholar
• Wu, T. H., S. H. Chung, and C. C. Chang. 2009. “Hybrid Simulated Annealing Algorithm with Mutation Operator to the Cell Formation Problem with Alternative Process Routings.” Expert Systems with Applications 36 (2): 3652–3661.10.1016/j.eswa.2008.02.060
   Web of Science ®Google Scholar
• Wu, T. H., S. H. Chung, and C. C. Chang. 2010. “A Water Flow-like Algorithm for Manufacturing Cell Formation Problems.” European Journal of Operational Research 205 (2): 346–360.10.1016/j.ejor.2010.01.020
   Web of Science ®Google Scholar
• Yildiz, A. R. 2012a. “A Comparative Study of Population-based Optimization Algorithms for Turning Operations.” Information Sciences 210: 81–88.10.1016/j.ins.2012.03.005
   Web of Science ®Google Scholar
• Yildiz, A. R. 2012b. “A New Hybrid Particle Swarm Optimization Approach for Structural Design Optimization in the Automotive Industry.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 226 (10): 1340–1351.10.1177/0954407012443636
   Web of Science ®Google Scholar
• Yildiz, A. R. 2013a. “Optimization of Cutting Parameters in Multi-pass Turning Using Artificial Bee Colony-based Approach.” Information Sciences 220: 399–407.10.1016/j.ins.2012.07.012
   Web of Science ®Google Scholar
• Yildiz, A. R. 2013b. “A New Hybrid Artificial Bee Colony Algorithm for Robust Optimal Design and Manufacturing.” Applied Soft Computing 13 (5): 2906–2912.10.1016/j.asoc.2012.04.013
   Web of Science ®Google Scholar
• Yildiz, A. R. 2013c. “Hybrid Taguchi-differential Evolution Algorithm for Optimization of Multi-pass Turning Operations.” Applied Soft Computing 13 (3): 1433–1439.10.1016/j.asoc.2012.01.012
   Web of Science ®Google Scholar
• Yildiz, A. R. 2013d. “Comparison of Evolutionary-based Optimization Algorithms for Structural Design Optimization.” Engineering Applications of Artificial Intelligence 26 (1): 327–333.10.1016/j.engappai.2012.05.014
   Web of Science ®Google Scholar
• Yildiz, A. R. 2013e. “A New Hybrid Differential Evolution Algorithm for the Selection of Optimal Machining Parameters in Milling Operations.” Applied Soft Computing 13 (3): 1561–1566.10.1016/j.asoc.2011.12.016
   Web of Science ®Google Scholar
• Yildiz, A. R., and K. N. Solanki. 2012. “Multi-objective Optimization of Vehicle Crashworthiness Using a New Particle Swarm Based Approach.” The International Journal of Advanced Manufacturing Technology 59 (1–4): 367–376.10.1007/s00170-011-3496-y
   Web of Science ®Google Scholar
• Yin, Y., and K. Yasuda. 2002. “Manufacturing cells’ Design in Consideration of Various Production Factors.” International Journal of Production Research 40 (4): 885–906.10.1080/00207540110101639
   Web of Science ®Google Scholar