Integration of cell formation and job sequencing to minimize energy consumption with minimum make-span
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[1] Sanja Petrovic,et al. An investigation into minimising total energy consumption and total weighted tardiness in job shops , 2014 .
[2] Yunfeng Wang,et al. Genetic algorithms for integrating cell formation with machine layout and scheduling , 2007, Comput. Ind. Eng..
[3] Yong Yin,et al. A heuristic algorithm for cell formation problems with consideration of multiple production factors , 2010 .
[4] Paul Xirouchakis,et al. A production planning in highly automated manufacturing system considering multiple process plans with different energy requirements , 2014 .
[5] Jing Huang,et al. Heuristic procedures and mathematical models for cell loading and scheduling in a shoe manufacturing company , 2009, Comput. Ind. Eng..
[6] Adriana Giret,et al. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm , 2013 .
[7] Deming Lei,et al. Tabu search‐based approach to multi‐objective machine‐part cell formation , 2005 .
[8] S. Karthikeyan,et al. GT Machine Cell Formation Problem in Scheduling for Cellular Manufacturing System Using Meta-Heuristic Method , 2012 .
[9] John M. Wilson,et al. The sustainable cell formation problem: manufacturing cell creation with machine modification costs , 2006, Comput. Oper. Res..
[10] John M. Wilson,et al. The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research , 2010, Eur. J. Oper. Res..
[11] Evelyn C. Brown,et al. CF-GGA: A grouping genetic algorithm for the cell formation problem , 2001 .
[12] Maghsud Solimanpur,et al. Genetic algorithm approach for solving a cell formation problem in cellular manufacturing , 2009, Expert Syst. Appl..
[13] Maghsud Solimanpur,et al. A new approach to the cell formation problem with alternative processing routes and operation sequence , 2011 .
[14] Mojtaba Salehi,et al. A genetic algorithm-based grouping method for a cell formation problem with the efficacy measure , 2010 .
[15] A. Delchambre,et al. Grouping genetic algorithms: an efficient method to solve the cell formation problem , 2000 .
[16] Chao-Hsien Chu,et al. A comparison of three array-based clustering techniques for manufacturing cell formation , 1990 .
[17] Ali Gharbi,et al. An algorithm for the cell formation and the machine selection problems in the design of a cellular manufacturing system , 1997 .
[18] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[19] Gürsel A. Süer,et al. Models for cell loading and product sequencing in labor-intensive cells , 2009, Comput. Ind. Eng..
[21] T. S. Hong,et al. Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations , 2013 .
[22] Yong Yin,et al. Formation of independent manufacturing cells with the consideration of multiple identical machines , 2014 .
[23] Lihui Wang,et al. Optimization of machining processes from the perspective of energy consumption: A case study , 2012 .
[24] Janet M. Twomey,et al. Operational methods for minimization of energy consumption of manufacturing equipment , 2007 .
[25] Felix T.S. Chan,et al. A holistic approach to manufacturing cell formation: Incorporation of machine flexibility and machine aggregation , 2004 .
[26] G.A. Suer,et al. A hybrid approach of genetic algorithms and local optimizers in cell loading , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[27] Jing Huang,et al. Stochastic cellular manufacturing system design subject to maximum acceptable risk level , 2012, Comput. Ind. Eng..
[28] Gürsel A. Süer,et al. Bi-objective cell loading problem with non-zero setup times with fuzzy aspiration levels in labour intensive manufacturing cells , 2008 .
[29] J Srinivas,et al. An optimal design approach for a cellular manufacturing system , 2007 .
[30] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[31] M Ananda Rao,et al. Recognition of machine cells in a group technology layout using self-organizing neural networks , 2001 .
[32] Mahdi Bashiri,et al. A hybrid genetic and imperialist competitive algorithm approach to dynamic cellular manufacturing system , 2014 .
[33] Tabitha L. James,et al. A hybrid grouping genetic algorithm for the cell formation problem , 2007, Comput. Oper. Res..
[34] G V Songore,et al. Cellular manufacturing systems design using Tabu search , 2000 .
[35] Emanuel Falkenauer,et al. Genetic Algorithms and Grouping Problems , 1998 .
[36] Michael Mutingi,et al. A genetic algorithm approach to cellular manufacturing systems , 2001 .
[37] Hassan M. Selim,et al. Formation of machine groups and part families: a modified SLC method and comparative study , 2003 .
[38] Jamal Arkat,et al. Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling , 2012, Int. J. Comput. Integr. Manuf..
[39] K. Yasuda *,et al. A grouping genetic algorithm for the multi-objective cell formation problem , 2005 .
[40] Massimo Paolucci,et al. Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops , 2012 .
[41] Shih-Wei Lin,et al. Part-machine cell formation in group technology using a simulated annealing-based meta-heuristic , 2010 .
[42] Yuchun Xu,et al. Energy-aware integrated process planning and scheduling for job shops , 2015, Sustainable Manufacturing and Remanufacturing Management.
[43] Eduardo Vila Gonçalves Filho,et al. A group genetic algorithm for the machine cell formation problem , 2006 .
[44] Mitsuo Gen,et al. A genetic algorithm-based approach for design of independent manufacturing cells , 1999 .