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Articles

A novel hybrid SA/GA algorithm for solving an integrated cell formation–job scheduling problem with sequence-dependent set-up times

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Pages 134-142 | Received 16 Jan 2014, Accepted 21 Dec 2014, Published online: 03 Mar 2015

References

  • AllisonJ. D. (1990). Combining Petrov's heuristic and the CDS heuristic in group scheduling problems. Computers & Industrial Engineering, 19, 457–461.
  • BajestaniM. A., RabbaniM., Rahimi-VahedA. R., & Baharian KhoshkhouG. (2009). A multi-objective scatter search for a dynamic cell formation problem. Computers & Operations Research, 36, 777–794. doi:10.1016/j.cor.2007.10.026.
  • BalakrishnanJ., & ChengC. H. (2007). Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions. European Journal of Operational Research, 177, 281–309. doi:10.1016/j.ejor.2005.08.027.
  • BalakrishnanJ., & JogP. D. (1995). Manufacturing cell formation using similarity coefficients and a parallel genetic TSP algorithm: Formulation and comparison. Mathematical and Computer Modelling, 21, 61–73.
  • ChengR., GenM., & TsujimuraY. (1996). A tutorial survey of job-shop scheduling problems using genetic algorithms – Part I: Representation. Computers & Industrial Engineering, 30, 983–997.
  • ChengR., GenM., & TsujimuraY. (1999). A tutorial survey of job-shop scheduling problems using genetic algorithms – Part II: Hybrid genetic search strategies. Computers & Industrial Engineering, 36, 343–364.
  • ChuC. -H., & TsaiC. -C. (2001). A heuristic genetic algorithm for grouping manufacturing cells. In Proceedings of the IEEE Congress on Evolutionary Computation 27–30 May 2001, Seoul, South Korea, Vol. 1 (pp. 310–317)
  • DefershaF. M., & ChenM. (2006). A comprehensive mathematical model for the design of cellular manufacturing systems. International Journal of Production Economics, 103, 767–783. doi:10.1016/j.ijpe.2005.10.008.
  • EgilmezG., SüerG. A., & HuangJ. (2012). Stochastic cellular manufacturing system design subject to maximum acceptable risk level. Computers & Industrial Engineering, 63, 842–854.
  • GhezavatiV., & Saidi-MehrabadM. (2009). Designing integrated cellular manufacturing systems with scheduling considering stochastic processing time. The International Journal of Advanced Manufacturing Technology, 48, 701–717. doi:10.1007/s00170-009-2322-2.
  • GhotboddiniM. M., RabbaniM., & RahimianH. (2011). A comprehensive dynamic cell formation design: Benders' decomposition approach. Expert Systems with Applications, 38, 2478–2488.
  • GoldbergD. E., & HollandJ. H. (1988). Genetic algorithms and machine learning. Machine Learning, 3, 95–99.
  • GravelM., NsakandaA. L., & PriceW. (1998). Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm. European Journal of Operational Research, 109, 286–298.
  • GuptaY. P., GuptaM. C., KumarA., & SundramC. (1995). Minimizing total intercell and intracell moves in cellular manufacturing: A genetic algorithm approach. International Journal of Computer Integrated Manufacturing, 8, 92–101.
  • GuptaY., GuptaM., KumarA., & SundaramC. (1996). A genetic algorithm-based approach to cell composition and layout design problems. International Journal of Production Research, 34, 447–482.
  • HollandJ. H. (1975). Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Ann Arbor, MI: University of Michigan Press.
  • JeonG., & LeepH. R. (2006). Forming part families by using genetic algorithm and designing machine cells under demand changes. Computers & Operations Research, 33, 263–283. doi:10.1016/j.cor.2005.03.033.
  • JoinesJ. A., CulbrethC. T., & KingR. E. (1996). Manufacturing cell design: An integer programming model employing genetic algorithms. IIE Transactions, 28, 69–85.
  • KusiakA. (1990). Intelligent Manufacturing Systems (p. 448). Old Tappan, NJ: Prentice Hall.
  • LogendranR., & NudtasomboonN. (1991). Minimizing the makespan of a group scheduling problem: A new heuristic. International Journal of Production Economics, 22, 217–230. doi:10.1016/0925-5273(91)90098-E.
  • LowC., WuT. -H., & HsuC. -M. (2005). Mathematical modelling of multi-objective job shop scheduling with dependent setups and re-entrant operations. The International Journal of Advanced Manufacturing Technology, 27, 181–189. doi:10.1007/s00170-004-2137-0.
  • MichalewiczZ. (1996). Genetic Algorithms + Data Structures =  Evolution Programs. Berlin: Springer.
  • NsakandaA. L., DiabyM., & PriceW. L. (2006). Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings. European Journal of Operational Research, 171, 1051–1070. doi:10.1016/j.ejor.2005.01.017.
  • OnwuboluG., & MutingiM. (2001). A genetic algorithm approach to cellular manufacturing systems. Computers & Industrial Engineering, 39, 125–144.
  • OysuC., & BingulZ. (2009). Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining. Engineering Applications of Artificial Intelligence, 22, 389–396. doi:10.1016/j.engappai.2008.10.005.
  • PapaioannouG., & WilsonJ. M. (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, 509–521. doi:10.1016/j.ejor.2009.10.020.
  • PonnambalamS. G., & ReddyM. M. (2003). A GA-SA multiobjective hybrid search algorithm for integrating lot sizing and sequencing in flow-line scheduling. International Journal of Advanced Manufacturing Technology, 21, 126–137.
  • RafieiH., & GhodsiR. (2013). A bi-objective mathematical model toward dynamic cell formation considering labor utilization. Applied Mathematical Modelling, 37, 2308–2316.
  • RafieiH., RabbaniM., DashtiH., & NourmohammadzadehA. (2013). Cell formation problem with alternative process plans and alternative routes considering defect rate. International Journal of Scientific & Engineering Research, 4, 1817–1823.
  • ReevesC. R. (1993). Modern Heuristic Techniques for Combinatorial Problems. New York, NY: Wiley.
  • RoachA., & NagiR. (1996). A hybrid GA-SA algorithm for just-in-time scheduling of multi-level assemblies. Computers & Industrial Engineering, 30, 1047–1060.
  • SelimH. M., AskinR. G., & VakhariaA. J. (1998). Cell formation in group technology: Review, evaluation and directions for future research. Computers & Industrial Engineering, 34, 3–20. doi:10.1016/S0360-8352(97)00147-2.
  • SolimanpurM., VratP., & ShankarR. (2003). A heuristic to minimize makespan of cell scheduling problem. International Journal of Production Economics, 88, 231–241.
  • SüerG. A., KamatK., MeseE., & HuangJ. (2013). Minimizing total tardiness subject to manpower restriction in labor-intensive manufacturing cells. Mathematical and Computer Modelling, 57, 741–753.
  • VaithianathanR., & McRobertsK. L. (1982). On scheduling in a GT environment. Journal of Manufacturing Systems, 1, 149–155.
  • VenugopalV., & NarendranT. (1992). A genetic algorithm approach to the machine-component grouping problem with multiple objectives. Computers & Industrial Engineering, 22, 469–480.
  • WangL., & ZhengD. (2001). An effective hybrid optimization strategy for job-shop scheduling problems. Computers & Operations Research, 28, 585–596.
  • WuX., ChuC. -H., WangY., & YanW. (2007a). A genetic algorithm for cellular manufacturing design and layout. European Journal of Operational Research, 181, 156–167. doi:10.1016/j.ejor.2006.05.035.
  • WuX., ChuC. -H., WangY., & YueD. (2007b). Genetic algorithms for integrating cell formation with machine layout and scheduling. Computers & Industrial Engineering, 53, 277–289. doi:10.1016/j.cie.2007.06.021.
  • ZhangC., LiP., RaoY., & LiS. (2005). A new hybrid GA/SA algorithm for the job shop. In Proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP) 30 March–1 April 2005, Lausanne, Switzerland, Lecture Notes in Computer Science Vol. 3448 (pp. 246–259). Berlin: Springer.
  • ZhaoC., & WuZ. (2000). A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives. International Journal of Production Research, 38, 385–395.

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