[1]
|
Mahdavi, I., Paydar, M.M., Solimanpur, M. and Saidi-Mehrabad, M. (2010) A Mathematical Model for Integrating Cell Formation Problem with Machine Layout. International Journal of Industrial Engineering & Production Research, 21, 61-70.
|
[2]
|
Khaksar-Haghani, F., Kia, R., Javadian, N., Tavakkoli-Moghaddam, R. and Baboli, A. (2011) A Comprehensive Mathematical Model for the Design of a Dynamic Cellular Manufacturing System Integrated with Production Planning and Several Manufacturing Attributes. International Journal of Industrial Engineering & Production Research, 22, 199-212.
|
[3]
|
Arkat, J., Naseri, F. and Ahmadizar, F. (2011) A Stochastic Model for the Generalized Cell Formation Problem Considering Machine Reliability. International Journal of Computer Integrated Manufacturing, 24, 1095-1102.http://dx.doi.org/10.1080/0951192X.2011.627944
|
[4]
|
Saeedi, S., Solimanpur, M., Mahdavi, I. and Javadian, N. (2010) Heuristic Approaches for Cell Formation in Cellular Manufacturing. Journal of Software Engineering & Applications, 3, 674-682. http://dx.doi.org/10.4236/jsea.2010.37077
|
[5]
|
Banerjee, I. and Das, P. (2012) Group Technology Based Adaptive Cell Formation Using Predator-Prey Genetic Algorithm. Applied Soft Computing, 12, 559-572. http://dx.doi.org/10.1016/j.asoc.2011.07.021
|
[6]
|
Arkat. J., Hosseini, L. and Farahani, M.H. (2011) Minimization of Exceptional Elements and Voids in the Cell Formation Problem Using a Multi-Objective Genetic Algorithm. Expert System with Applications, 38, 9597-9602.http://dx.doi.org/10.1016/j.eswa.2011.01.161
|
[7]
|
Yin, X.F. and Khoo, L.P. (2011) An Exact Schema Theorem for Adaptive Genetic Algorithm and Its Application to Machine Cell Formation. Expert Systems with Applications, 38, 8538-8552. http://dx.doi.org/10.1016/j.eswa.2011.01.055
|
[8]
|
Ozcelik, F. and Sarac, T. (2012) A Genetic Algorithm Extended Modified Sub-Gradient Algorithm for Cell Formation Problem with Alternative Routings. International Journal of Production Research, 50, 4025-4037.http://dx.doi.org/10.1080/00207543.2011.588264
|
[9]
|
Saraç, T. and Ozcelik, F. (2012) A Genetic Algorithm with Proper Parameters for Manufacturing Cell Formation Problems. Journal of Intelligent Manufacturing, 23, 1047-1061. http://dx.doi.org/10.1007/s10845-010-0446-8
|
[10]
|
Wu, T.-H., Chang, C.-C. and Yeh, J.-Y. (2009) A Hybrid Heuristic Algorithm Adopting both Boltzmann Function and Mutation Operator for Manufacturing Cell Formation Problems. International Journal of Production Economics, 120, 669-688. http://dx.doi.org/10.1016/j.ijpe.2009.04.015
|
[11]
|
Lin, S.W., Ying, K.C. and Lee, Z.J. (2010) Part-Machine Cell Formation in Group Technology Using a Simulated Annealing-Based Meta-Heuristic. International Journal of Production Research, 48, 3579-3591. http://dx.doi.org/10.1080/00207540902896212
|
[12]
|
Paydar, M.M., Mahdavi, I., Sharafuddin, I. and Solimanpur, M. (2010) Applying Simulated Annealing for Designing Cellular Manufacturing Systems Using MDmTSP. Computers & Industrial Engineering, 59, 929-936. http://dx.doi.org/10.1016/j.cie.2010.09.003
|
[13]
|
Kia, R., Baboli, A., Javadian, N., Tavakkoli-Moghaddam, R., Kazemi, M. and Khorrami, J. (2012) Solving a Group Layout Design Model of a Dynamic Cellular Manufacturing System with Alternative Process Routings, Lot Splitting and Flexible Reconfiguration by Simulated Annealing. Computers & Operations Research, 39, 2642-2658. http://dx.doi.org/10.1016/j.cor.2012.01.012
|
[14]
|
Rezaeian, J., Javadian, N., Tavakkoli-Moghaddam, R. and Jolai, F. (2011) A Hybrid Approach Based on the Genetic Algorithm and Neural Network to Design an Incremental Cellular Manufacturing System. Applied Soft Computing, 11, 4195-4202. http://dx.doi.org/10.1016/j.asoc.2011.03.013
|
[15]
|
Ghezavati, V.R. and Saidi-Mehrabad, M. (2011) An Efficient Hybrid Self-Learning Method for Stochastic Cellular Manufacturing Problem: A Queuing-Based Analysis. Expert Systems with Applications, 38, 1326-1335. http://dx.doi.org/10.1016/j.eswa.2010.07.012
|
[16]
|
Elbenani, B. and Ferland, J.A. (2012) An Exact Method for Solving the Manufacturing Cell Formation Problem. International Journal of Production Research, 50, 4038-4045. http://dx.doi.org/10.1080/00207543.2011.588622
|
[17]
|
Rafiei, H. and Ghodsi, R. (2013) A Bi-Objective Mathematical Model toward Dynamic Cell Formation Considering Labor Utilization. Applied Mathematical Modelling, 37, 2308-2316. http://dx.doi.org/10.1016/j.apm.2012.05.015
|
[18]
|
Paydar, M.M. and Saidi-Mehrabad, M. (2013) A Hybrid Genetic-Variable Neighborhood Search for the Cell Formation Problem Based on Group Efficiency. Computers & Operations Research, 40, 980-990. http://dx.doi.org/10.1016/j.cor.2012.10.016
|
[19]
|
Dalfard, V.M. (2013) New Mathematical Model for Problem of Dynamic Cell Formation Based on Number and Average Length of Intra and Intercellular Movements. Applied Mathematical Modelling, 37, 1884-1896. http://dx.doi.org/10.1016/j.apm.2012.04.034
|
[20]
|
Srinivasan, G. and Narendran, T.T. (1991) GRAFICS—A Nonhierarchical Clustering-Algorithm for Group Technology. International Journal of Production Research, 29, 463-478. http://dx.doi.org/10.1080/00207549108930083
|
[21]
|
Srinivasan, G. (1994) A Clustering Algorithm for Machine Cell Formation in Group Technology Using Minimum Spanning Trees. International Journal of Production Research, 32, 2149-2158. http://dx.doi.org/10.1080/00207549408957064
|
[22]
|
Miltenburg, J. and Zhang, W. (1991) A Comparative Evaluation of Nine Well-Known Algorithms for Solving the Cell Formation Problem in Group Technology. Journal of Operations Management, 10, 44-72. http://dx.doi.org/10.1016/0272-6963(91)90035-V
|
[23]
|
Kao, Y. and Li, Y.L. (2008) Ant Colony Recognition Systems for Part Clustering Problems. International Journal of Production Research, 46, 4237-4258. http://dx.doi.org/10.1080/00207540601078054
|
[24]
|
Nambirajan, T. and Panneerselvam, R. (1999) Machine-Component Cell Design Using Simulated Annealing. International Journal of Management and Systems, 15, 185-208.
|
[25]
|
Holland, J.H. (1975) Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor.
|
[26]
|
Goldberg, D.E. (1989) Genetic Algorithms in Search Optimization & Machine Learning. Addison Wesley, Boston.
|
[27]
|
Venugopal, V. and Narendran, T.T. (1992) A Genetic Algorithm Approach to the Machine-Component Grouping Problem with Multiple Objectives. Computers & Industrial Engineering, 22, 469-480. http://dx.doi.org/10.1016/0360-8352(92)90022-C
|
[28]
|
Balakrishnan, J. and Jog, P.D. (1995) Manufacturing Cell Formation Using Similarity Coefficients and a Parallel Genetic TSP Algorithm: Formulation and Comparison. Mathematical and Computer Modelling, 21, 61-73. http://dx.doi.org/10.1016/0895-7177(95)00092-G
|
[29]
|
Joines, A.J., Culbreth, C.T. and King, E.R. (1996) Manufacturing Cell Design: An Integer Programming Model Employing Genetic Algorithms. IIE Transactions, 28, 69-85. http://dx.doi.org/10.1080/07408179608966253
|
[30]
|
Su, C.T. and Hsu, C.M. (1998) Manufacturing Cell Formation Using Genetic Algorithm vs. Neural Networks. Journal of the Chinese Institute of Industrial Engineers, 15, 127-139. http://dx.doi.org/10.1080/10170669.1998.10432953
|
[31]
|
Mahdavi, I., Paydar, M.M., Solimanour, M. and Heidarzade, A. (2009) Genetic Algorithm Approach for Solving a Cell Formation Problem in Cellular Manufacturing. Expert Systems with Applications, 36, 6598-6604. http://dx.doi.org/10.1016/j.eswa.2008.07.054
|
[32]
|
James, T.L., Brown, E.C. and Keeling, K.B. (2007) A Hybrid Grouping Algorithm for the Cell Formation Problem. Computers & Operations Research, 34, 2059-2079. http://dx.doi.org/10.1016/j.cor.2005.08.010
|
[33]
|
Keeling, K.B., Brown, E.C. and James, T.L. (2007) Grouping Efficiency Measures and Their Impact on Factory Measures for the Machine-Part Cell Formation Problem: A Simulation Study. Engineering Applications of Artificial Intelligence, 20, 63-78. http://dx.doi.org/10.1016/j.engappai.2006.04.001
|
[34]
|
Tunnukij, T. and Hicks, C. (2009) An Enhanced Grouping Genetic Algorithm for Solving the Cell Formation Problem. International Journal of Production Research, 47, 1989-2007. http://dx.doi.org/10.1080/00207540701673457
|
[35]
|
Tariq, A., Hussain, I. and Ghafoor, A. (2009) A Hybrid Genetic Algorithm for Machine-Part Grouping. Computers & Industrial Engineering, 56, 347-356. http://dx.doi.org/10.1016/j.cie.2008.06.007
|
[36]
|
Pailla, A., Trinbade, A.R., Parada, V. and Ochi, L.S. (2010) A Numerical Comparison between Simulated Annealing and Evolutionary Approaches to the Cell Formation Problem. Expert Systems with Applications, 37, 5476-5483. http://dx.doi.org/10.1016/j.eswa.2010.02.064
|
[37]
|
Vin, E. and Delchambre, A. (2014) Generalized Cell Formation: Iterative versus Simultaneous Resolution with Grouping Genetic Algorithm. Journal of Intelligent Manufacturing, 25, 1113-1124. http://dx.doi.org/10.1007/s10845-013-0749-7
|
[38]
|
Li, J., Wang, A. and Tang, C. (2014) Production Planning in Virtual Cell of Reconfiguration Manufacturing System Using Genetic Algorithm. International Journal of Advanced Manufacturing Technology, 74, 47-64. http://dx.doi.org/10.1007/s00170-014-5987-0
|
[39]
|
Deep, K. and Singh, P.K. (2015) Design of Robust Cellular Manufacturing System for Dynamic Part Population Considering Multiple Processing Routes Using Genetic Algorithm. Journal of Manufacturing Systems, 35, 155-163. http://dx.doi.org/10.1016/j.jmsy.2014.09.008
|
[40]
|
Chandrasekharan, M.P. and Rajagopalan, R. (1986) An Ideal Seed Non-Hierarchical Clustering Algorithm for Cellular Manufacturing. International Journal of Production Research, 24, 451-464. http://dx.doi.org/10.1080/00207548608919741
|
[41]
|
Chandrasekharan, M.P. and Rajagopalan, R. (1986) MODROC: An Extension of Rank Order Clustering for Group Technology. International Journal of Production Research, 24, 1221-1233. http://dx.doi.org/10.1080/00207548608919798
|
[42]
|
Kumar, C.S. and Chandrasekharan, M.P. (1990) Grouping Efficacy: A Quantitative Criterion for Goodness of Block Diagonal Forms of Binary Matrices in Group Technology. International Journal of Production Research, 28, 233-243. http://dx.doi.org/10.1080/00207549008942706
|
[43]
|
Chandrasekharan, M.P. and Rajagopalan, R. (1987) ZODIAC—An Algorithm for Concurrent Formation of Part Families and Machine Cells. International Journal of Production Research, 25, 835-850. http://dx.doi.org/10.1080/00207548708919880
|
[44]
|
Nambirajan, T. and Panneerselvam, R. (1995) Nonhierarchical Clustering of Machine-Component Cells Using Seeds from an Efficient Seed Generation Algorithm. Industrial Engineering Journal, 24(11), 10-16 & 24(12), 1-17.
|
[45]
|
King, J.R. and Nakornchai, V. (1982) Machine-Component Group Formation in Group Technology: Review and Extension. International Journal of Production Research, 20, 117-133. http://dx.doi.org/10.1080/00207548208947754
|
[46]
|
Waghodekar, P.H. and Sahu, S. (1984) Machine-Component Cell Formation in Group Technology: MACE. International Journal of Production Research, 22, 937-948. http://dx.doi.org/10.1080/00207548408942513
|
[47]
|
Nambirajan, T. (1998) Machine-Component Cell Design Using Simulated Annealing with an Efficient Seed Generation Algorithm. Ph.D. Dissertation, Pondicherry University, Puducherry.
|
[48]
|
Vohra, T., Chen, D.S., Chang, J.C. and Chen, H.C. (1990) A Network Approach to Cell Formation in Cellular Manufacturing. International Journal of Production Research, 28, 2075-2084. http://dx.doi.org/10.1080/00207549008942854
|
[49]
|
Choobineh, F. (1988) A Framework for the Design of Cellular Manufacturing Systems. International Journal of Production Research, 26, 1161-1172. http://dx.doi.org/10.1080/00207548808947932
|
[50]
|
Safer, S.M., Kern, G.M. and Wei, J.C. (1992) A Mathematical Programming Approach for Dealing with Exceptional Elements in Cellular Manufacturing. International Journal of Production Research, 30, 1029-1036. http://dx.doi.org/10.1080/00207549208942940
|
[51]
|
De Witte, J. (1980) The Use of Similarity Coefficient in Production Flow Analysis. International Journal of Production Research, 18, 503-514. http://dx.doi.org/10.1080/00207548008919686
|
[52]
|
Tam, K.Y. (1990) An Operation Sequence Based Similarity Coefficient for Part Families Formations. Journal of Manufacturing Systems, 9, 55-68. http://dx.doi.org/10.1016/0278-6125(90)90069-T
|
[53]
|
Askin, R.G. and Subramanian, S.P. (1987) A Cost-Based Heuristic for Group Technology Configuration. International Journal of Production Research, 25, 101-113. http://dx.doi.org/10.1080/00207548708919825
|
[54]
|
Stanfel, L.E. (1985) Machine Clustering for Economic Production. Engineering Costs and Production Economics, 9, 73-81. http://dx.doi.org/10.1016/0167-188X(85)90012-6
|
[55]
|
Balasubramanian, K.N. and Panneerselvam, R. (1993) Covering Technique-Based Algorithm for Machine Grouping to form Manufacturing Cells. International Journal of Production Research, 31, 1479-1504. http://dx.doi.org/10.1080/00207549308956803
|
[56]
|
Chan, H.M. and Milner, D.A. (1982) Direct Clustering Algorithm for Group Formation in Cellular Manufacturing. Journal of Manufacturing Systems, 1, 65-75. http://dx.doi.org/10.1016/S0278-6125(82)80068-X
|
[57]
|
Mosier, C. and Taube, L. (1985) Weighted Similarity Measure Heuristics for the Group Technology Machine Clustering Problem. Omega, 13, 577-583. http://dx.doi.org/10.1016/0305-0483(85)90046-5
|
[58]
|
Chandrasekharan, M.P. and Rajagopalan, R. (1989) Groupability: An Analysis of the Properties of Binary Data Matrices for Group Technology. International Journal of Production Research, 27, 1035-1052. http://dx.doi.org/10.1080/00207548908942606
|
[59]
|
Panneerselvam, R. (2012) Design and Analysis of Experiments. PHI Learning Pvt. Limited, New Delhi.
|