282
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Towards a psychologically consistent cellular manufacturing system

, , &
Pages 492-518 | Received 09 Aug 2015, Accepted 14 May 2016, Published online: 14 Jun 2016

References

  • Adil, G. K., D. Rajamani, and D. Strong. 1993. “A Mathematical Model for Cell Formation Considering Investment and Operational Costs.” European Journal of Operational Research 69: 330–341.10.1016/0377-2217(93)90019-J
  • Albadawi, Z., H. A. Bashir, and M. Chen. 2005. “A Mathematical Approach for the Formation of Manufacturing Cells.” Computers and Industrial Engineering 48: 3–21.10.1016/j.cie.2004.06.008
  • Asl-Najafi, J., B. Zahiri, A. Bozorgi-Amiri, and A. Taherimoghaddam. 2015. “A Dynamic Closed-Loop Location-inventory Problem under Disruption Risk.” Computers & Industrial Engineering 90: 414–428.
  • Azadeh, A., M. Rezaei-Malek, F. Evazabadian, and M. Sheikhalishahi. 2015. “Improved Design of CMS by Considering Operators Decision-Making Styles.” International Journal of Production Research 53: 3276–3287.10.1080/00207543.2014.975860
  • Cesaní, V. I., and H. J. Steudel. 2005. “A Study of Labor Assignment Flexibility in Cellular Manufacturing Systems.” Computers and Industrial Engineering 48: 571–591.10.1016/j.cie.2003.04.001
  • Chen, M. 1998. “A Mathematical Programming Model for System Reconfiguration in a Dynamic Cellular Manufacturing Environment.” Annals of Operations Research 77: 109–128.10.1023/A:1018917109580
  • Chung, S. H., T. H. Wu, and C. C. Chang. 2011. “An Efficient Tabu Search Algorithm to the Cell Formation Problem with Alternative Routings and Machine Reliability Considerations.” Computers and Industrial Engineering 60: 7–15.10.1016/j.cie.2010.08.016
  • Deb, K. 2001. Multi-Objective Optimization Using Evolutionary Algorithms. New York: John Wiley & Sons.
  • Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II.” IEEE Transactions on Evolutionary Computation 6: 182–197.10.1109/4235.996017
  • Driver, M. J. 1979. Individual Decision Making and Creativity: Organizational Behavior. Columbus, GA: Grid Pub.
  • Driver, M. J., K. R. Brousseau, and P. L. Hunsaker. 1998. The Dynamic Decision Maker: Five Decision-Making Styles for Executive and Business Success. New York: Harper and Row.
  • Ebrahimipour, V., A. Najjarbashi, and M. Sheikhalishahi. 2012. “Multi-Objective Modeling for Preventive Maintenance Scheduling in a Multiple Production Line.” Journal of Intelligent Manufacturing 26: 111–122.
  • Ertay, T., and D. Ruan. 2005. “Data Envelopment Analysis Based Decision Model for Optimal Operator Allocation in CMS.” European Journal of Operational Research 164: 800–810.10.1016/j.ejor.2004.01.038
  • Gao, H., and M. Diao. 2011. “Cultural Firework Algorithm and Its Application for Digital Filters Design.” International Journal of Modelling, Identification and Control 14: 324–331.10.1504/IJMIC.2011.043157
  • Heragu, S. S. (2006). Facilities Design. 2nd ed. Boston, MA: iUniverse.
  • Javadi, B., F. Jolai, J. Slomp, M. Rabbani, and R. Tavakkoli-Moghaddam. 2013. “An Integrated Approach for the Cell Formation and Layout Design in Cellular Manufacturing Systems.” International Journal of Production Research 51: 6017–6044.10.1080/00207543.2013.791755
  • Kusiak, A. 1987. “The Generalized Group Technology Concept.” International Journal of Production Research 25: 561–569.10.1080/00207548708919861
  • Levenshtein, V. I. 1966. “Binary Codes Capable of Correcting Deletions, Insertions, and Reversals.” Soviet Physics Doklady 10: 707–710.
  • Li, J., S. Zheng, and Y. Tan. 2014. “Adaptive Fireworks Algorithm.” Proceeding of the 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing. 3214–3221.10.1109/CEC.2014.6900418
  • Liu, J., S. Zheng, and Y. Tan. 2013. “The Improvement on Controlling Exploration and Exploitation of Firework Algorithm.” Advances in Swarm Intelligence, Volume 7928 of the Series Lecture Notes in Computer Science, 11–23. Berlin, Heidelberg: Springer
  • Liu, J., S. Zheng, and Y. Tan. 2015. “S-metric Based Multi-Objective Fireworks Algorithm.” Proceeding of the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai. 1257–1264.
  • Mahdavi, I., and B. Mahadevan. 2008. “CLASS: An Algorithm for Cellular Manufacturing System and Layout Design Using Sequence Data.” Robotics and Computer Integrated Manufacturing 24: 488–497.10.1016/j.rcim.2007.07.011
  • Mahdavi, I., A. Aalaei, M. M. Paydar, and M. Solimanpur. 2010. “Designing a Mathematical Model for Dynamic Cellular Manufacturing Systems Considering Production Planning and Worker Assignment.” Computers and Mathematics with Applications 60: 1014–1025.10.1016/j.camwa.2010.03.044
  • Mahdavi, I., E. Teymourian, N. T. Baher, and V. Kayvanfar. 2013. “An Integrated Model for Solving Cell Formation and Cell Layout Problem Simultaneously Considering New Situations.” Journal of Manufacturing Systems 32: 655–663.10.1016/j.jmsy.2013.02.003
  • Michalos, G., S. Makris, and G. Chryssolouris. 2013. “The Effect of Job Rotation during Assembly on the Quality of Final Product.” CIRP Journal of Manufacturing Science and Technology 6: 187–197.10.1016/j.cirpj.2013.03.001
  • Mohammadi, M., and K. Forghani. 2014. “A Novel Approach for Considering Layout Problem in Cellular Manufacturing Systems with Alternative Processing Routings and Subcontracting Approach.” Applied Mathematical Modelling 38: 3624–3640.10.1016/j.apm.2013.11.058
  • Mousazadeh, M., S. A. Torabi, and B. Zahiri. 2015. “A Robust Possibilistic Programming Approach for Pharmaceutical Supply Chain Network Design.” Computers and Chemical Engineering 82: 115–128.10.1016/j.compchemeng.2015.06.008
  • Paydar, M. M., I. Mahdavi, I. Sharafuddin, and M. Solimanpur. 2010. “Applying Simulated Annealing for Designing Cellular Manufacturing Systems Using MDmTSP.” Computers and Industrial Engineering 59: 929–936.10.1016/j.cie.2010.09.003
  • Paydar, M. M., M. Saidi-Mehrabad, and E. Teimoury. 2014. “A Robust Optimisation Model for Generalised Cell Formation Problem Considering Machine Layout and Supplier Selection.” International Journal of Computer Integrated Manufacturing 27: 772–786.10.1080/0951192X.2013.834476
  • Rafiei, H., and R. Ghodsi. 2013. “A Bi-objective Mathematical Model toward Dynamic Cell Formation Considering Labor Utilization.” Applied Mathematical Modelling 37: 2308–2316.10.1016/j.apm.2012.05.015
  • Rafiei, H., M. Rabbani, and M. Koushan. 2012. “Effect of Motivation and Learning Curve in Dynamic Cell Formation and the Worker Assignment Problem.” International Journal of Engineering & Research Technology 1: 2277–9655.
  • Rajamani, D., N. Singh, and Y. Aneja. 1990. “Integrated Design of Cellular Manufacturing Systems in the Presence of Alternative Process Plans.” International Journal of Production Research 28: 1541–1554.10.1080/00207549008942811
  • Rezaei-Malek, M., and R. Tavakkoli-Moghaddam. 2014. “Robust Humanitarian Relief Logistics Network Planning.” Uncertain Supply Chain Management 2: 73–96.10.5267/j.uscm.2014.1.002
  • Rezaei-Malek, M., R. Tavakkoli-Moghaddam, and N. Salehi. 2014a. “Robust Planning of Medical Supplies with Time Windows in a Humanitarian Relief Logistic Network.” Proceeding of the 44th International Conference on Computers and Industrial Engineering (CIE44), Istanbul, October 14–16
  • Rezaei-Malek, N., M. Rezaei-Malek, and R. Tavakkoli-Moghaddam. 2014b. “Rate of Improvement Banking Service Based on Knowledge Management and Mobile Banking–case Study: Mellat Bank.” Proceeding of the 6th Knowledge Management Conference, Tehran, February 26.
  • Rezaei-Malek, M., R. Tavakkoli-Moghaddam, B. Zahiri, and A. Bozorgi-Amiri. 2016. “An Interactive Approach for Designing a Robust Disaster Relief Logistics Network with Perishable Commodities.” Computers and Industrial Engineering 94: 201–215.10.1016/j.cie.2016.01.014
  • Sakhaii, M., R. Tavakkoli-Moghaddam, M. Bagheri, and B. Vatani. 2015. “A Robust Optimization Approach for an Integrated Dynamic Cellular Manufacturing System and Production Planning with Unreliable Machines.” Applied Mathematical Modelling 40: 169–191.
  • Satoglu, S., and N. C. Suresh. 2009. “A Goal-Programming Approach for Design of Hybrid Cellular Manufacturing Systems in Dual Resource Constrained Environments.” Computers and Industrial Engineering 56: 560–575.10.1016/j.cie.2008.06.009
  • Schaller, J. 2007. “Designing and Redesigning Cellular Manufacturing Systems to Handle Demand Changes.” Computers and Industrial Engineering 53: 478–490.10.1016/j.cie.2007.05.006
  • Sedighy, S. Q., G. H. Shakouri, and M., Rezaei-Malek. 2015. “A Novel Multi-Objective Mathematical Model for Planning an Auxiliary Public Transportation Network: A Covering-Routing Approach.” Journal of Economic Computation and Economic Cybernetics Studies and Research 49: 239–262.
  • Selim, H. M., R. G. Askin, and A. J. Vakharia. 1998. “Cell Formation in Group Technology: Review, Evaluation and Directions for Future Research.” Computers and Industrial Engineering 34: 3–20.10.1016/S0360-8352(97)00147-2
  • Shtubt, A. 1989. “Modelling Group Technology Cell Formation as a Generalized Assignment Problem.” International Journal of Production Research 27: 775–782.10.1080/00207548908942586
  • Solimanpur, M., and A. Foroughi. 2011. “A New Approach to the Cell Formation Problem with Alternative Processing Routes and Operation Sequence.” International Journal of Production Research 49: 5833–5849.10.1080/00207543.2010.528060
  • Süer, G. A., and I. S. Bera. 1998. “Optimal Operator Assignment and Cell Loading When Lot-splitting is Allowed.” Computers and Industrial Engineering 35: 431–434.10.1016/S0360-8352(98)00126-0
  • Szwarc, D., D. Rajamani, and C. R. Bector. 1997. “Cell Formation Considering Fuzzy Demand and Machine Capacity.” The International Journal of Advanced Manufacturing Technology 13: 134–147.10.1007/BF01225760
  • Tan, Y., and Y. Zhu. 2010. “Fireworks Algorithm for Optimization.” Advances in Swarm Intelligence Lecture Notes in Computer Science 6145: 355–364.10.1007/978-3-642-13495-1
  • Tan, Y., C. Yu, S. Zheng, and K. Ding. 2013. “Introduction to Fireworks Algorithm.” International Journal of Swarm Intelligence Research 4: 39–70.10.4018/IJSIR
  • Tavakkoli-Moghaddam, R., M. B. Aryanezhad, N. Safaei, and A. Azaron. 2005. “Solving a Dynamic Cell Formation Problem Using Metaheuristics.” Applied Mathematics and Computation 170: 761–780.10.1016/j.amc.2004.12.021
  • Tavakkoli-Moghaddam, R., M. Ranjbar-Bourani, H. Mirzahosseinian, and M. B. Aryanezhad. 2009. “A New Multi-Objective Model for a Cell Formation Problem Considering Machines Utilization and Alternative Process Routes.” IJE Transactions A: Basics 22: 21–32.
  • Turcksin, L., A. Bernardini, and C. Macharis. 2011. “A Combined AHP-PROMETHEE Approach for Selecting the Most Appropriate Policy Scenario to Stimulate a Clean Vehicle Fleet.” Procedia Social and Behavioral Sciences 20: 954–965.10.1016/j.sbspro.2011.08.104
  • Tzeng, G.-H., and J.-J. Huang. 2011. Multiple Attribute Decision Making: Methods and Applications. Boca Raton: CRC Press, Taylor & Francis Group.
  • Yu, C., L. Kelley, S. Zheng, and Y. Tan. 2014a. “Fireworks Algorithm with Differential Mutation for Solving the CEC 2014 Competition Problems.” Proceeding of the 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing. 3238–3245.10.1109/CEC.2014.6900590
  • Yu, C., J. Li, and Y. Tan. 2014b. “Improve Enhanced Fireworks Algorithm with Differential Mutation.” Proceeding of the 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego. 264–269.10.1109/SMC.2014.6973918
  • Zahiri, B., R. Tavakkoli-Moghaddam, M. Mohammadi, and P. Jula. 2014a. “Multi-Objective Design of an Organ Transplant Network under Uncertainty.” Transportation Research Part E: Logistics and Transportation Review 72: 101–124.10.1016/j.tre.2014.09.007
  • Zahiri, B., R. Tavakkoli-Moghaddam, and M. S. Pishvaee. 2014b. “A Robust Possibilistic Programming Approach to Multi-Period Location–allocation of Organ Transplant Centers under Uncertainty.” Computers & Industrial Engineering 74: 139–148.
  • Zahiri, B., S. A. Torabi, M. Mousazadeh, and S. A. Mansouri. 2015. “Blood Collection Management: Methodology and Application.” Applied Mathematical Modelling 39: 7680–7696.10.1016/j.apm.2015.04.028
  • Zahiri, B., R. Tavakkoli-Moghaddam, and M. Rezaei-Malek. 2016. “An MCDA-DEA Approach for Mixed-Model Assembly Line Balancing Problem under Uncertainty.” Journal of Intelligent & Fuzzy Systems 30: 2737–2748.
  • Zhalechian, M., R. Tavakkoli-Moghaddam, B. Zahiri, and M. Mohammadi. 2016. “Sustainable Design of a Closed-Loop Location-Routing-Inventory Supply Chain Network under Mixed Uncertainty.” Transportation Research Part E: Logistics and Transportation Review 89: 182–214.10.1016/j.tre.2016.02.011
  • Zhang, B., M. Zhang, and Y.-J. Zheng. 2014a. “Improving Enhanced Fireworks Algorithm with New Gaussian Explosion and Population Selection Strategies.” Advances in Swarm Intelligence, Volume 8794 of the Series Lecture Notes in Computer Science, 53–63. Springer.
  • Zhang, B., M.-X. Zhang, and Y.-J. Zheng. 2014b. “A Hybrid Biogeography-Based Optimization and Fireworks Algorithm.” Proceeding of the 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing. 3200–3206.10.1109/CEC.2014.6900289
  • Zheng, S., A. Janecek, J. Li, and Y. Tan. 2014. “Dynamic Search in Fireworks Algorithm.” Proceeding of the 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing. 3222–3229.10.1109/CEC.2014.6900485
  • Zheng, Y.-J., X.-L. Xu, H.-F. Ling, and S.-Y. Chen. 2015. “A Hybrid Fireworks Optimization Method with Differential Evolution Operators.” Neurocomputing 148: 75–82.10.1016/j.neucom.2012.08.075
  • Zitzler, E., and S. Künzli. 2004. “Indicator-Based Selection in Multiobjective Search.” Parallel Problem Solving from Nature – PPSN VIII, Volume 3242 of the Series Lecture Notes in Computer Science. 832–842, Springer.
  • Zitzler, E., and L. Thiele. 1998. “Multiobjective Optimization Using Evolutionary Algorithms - a Comparative Case Study.” Parallel Problem Solving from Nature – PPSN V, Volume 1498 of the Series Lecture Notes in Computer Science. 292–301, Springer.
  • Zitzler, E., M. Laumanns, and L. Thiele. 2001. SPEA2: Improving the Strength Pareto Evolutionary Algorithm, Eidgenössische Technische Hochschule Zürich (ETH). Zurich: Institut für Technische Informatik und Kommunikationsnetze (TIK).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.