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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 7 Issue 1 pp. 9-22 , 2017

Manpower allocation in a cellular manufacturing system considering the impact of learning, training and combination of learning and training in operator skills Pages 9-22 Right click to download the paper Download PDF

Authors: Masoud Rabbani, Elahe Akbari, Mahdi Dolatkhah

DOI: 10.5267/j.msl.2016.11.006

Keywords: Manpower allocation, Cellular manufacturing system, Operator’s learning and train-ing, Discrete event simulation

Abstract: In this article, a manpower allocation and cell loading problem is studied, where demand is sto-chastic. The inter-cell and intra-cell movements are considered and attention is focused on as-signing operators with different skill levels to operations, because cell performance in addition to load cell is dependent on manpower. The purpose of this article is manpower allocation in cellu-lar manufacturing with consideration to learning and training policies. The manpower skill levels are determined in order to enhance production rate. The main contribution of this approach is the scenarios of training and learning in addition to the combination of training and learning being simulated. By using these three scenarios, the skill level of workers increase which reduces the processing time. In this regard cell layout is static where processing times and customer demand follow a normal distribution. As one of the significant costs of industrial unit is related to pro-duction cost, this study has attempted to reduce these costs by increasing the skill level of opera-tor which causes to reduce the processing time. Scenarios are evaluated by using a simulation method that finally attained results indicate this simulation provides better manpower assign-ments.



How to cite this paper
Rabbani, M., Akbari, E & Dolatkhah, M. (2017). Manpower allocation in a cellular manufacturing system considering the impact of learning, training and combination of learning and training in operator skills.Management Science Letters , 7(1), 9-22.

Refrences
Ahi, A., Aryanezhad, M. B., Ashtiani, B., & Makui, A. (2009). A novel approach to determine cell formation, intracellular machine layout and cell layout in the CMS problem based on TOPSIS method. Computers & Operations Research, 36(5), 1478-1496.
Al-Mubarak, F., Khumawala, B. M., & Canel, C. (2003). Focused cellular manufacturing: an alterna-tive to cellular manufacturing. International Journal of Operations & Production Manage-ment, 23(3), 277-299.
Aryanezhad, M. B., Deljoo, V., & Mirzapour Al-e-Hashem, S. M. J. (2009). Dynamic cell formation and the worker assignment problem: a new model. The International Journal of Advanced Manu-facturing Technology, 41(3-4), 329-342.
Askin, R., & Huang, Y. (1997). Employee training and assignment for facility reconfiguration, Pro-ceedings of the sixth IERC, Miami, FL, pp. 426-431.
Balakrishnan, J., & Cheng, C. H. (2007). Multi-period planning and uncertainty issues in cellular man-ufacturing: A review and future directions. European Journal of Operational Research, 177(1), 281-309.
Bidanda, B., Ariyawongrat, P., Needy, K. L., Norman, B. A., & Tharmmaphornphilas, W. (2005). Human related issues in manufacturing cell design, implementation, and operation: a review and survey. Computers & Industrial Engineering, 48(3), 507-523.
Car, Z., & Mikac, T. (2006). Evolutionary approach for solving cell-formation problem in cell manu-facturing. Advanced Engineering Informatics, 20(3), 227-232.
Cesaní, V. I., & Steudel, H. J. (2005). A study of labor assignment flexibility in cellular manufactur-ing systems. Computers & Industrial Engineering, 48(3), 571-591.
Chan, F. T., & Abhary, K. (1996). Design and evaluation of automated cellular manufacturing sys-tems with simulation modelling and AHP approach: a case study. Integrated Manufacturing Sys-tems, 7(6), 39-52.
Chang, C.C., Wu, T.H., & Chung, S.H. (2009). A novel approach for cell formation and cell layout design in cellular manufacturing system, in Management and Service Science, MASS'09. Interna-tional Conference on. IEEE.
Egilmez, G., Erenay, B., & Süer, G. A. (2014). Stochastic skill-based manpower allocation in a cellu-lar manufacturing system. Journal of Manufacturing Systems, 33(4), 578-588.
Egilmez, G., Süer, G. A., & Huang, J. (2012). Stochastic cellular manufacturing system design subject to maximum acceptable risk level. Computers & Industrial Engineering, 63(4), 842-854.
Greene, T. J., & Sadowski, R. P. (1983). Cellular manufacturing control. Journal of manufacturing systems, 2(2), 137-145.
Greene, T. J., & Sadowski, R. P. (1984). A review of cellular manufacturing assumptions, advantages and design techniques. Journal of Operations Management, 4(2), 85-97.
Hedge, J., Borman, W., & Carter, G. (1994). Personnel selection and training. New York, John Wiley and Sons, Inc.
Huq, F. (1992). Labor issues in the implementation of group technology cellular manufactur-ing. Production and Inventory Management Journal, 33(4), 15.
Javadi, B., Jolai, F., Slomp, J., Rabbani, M., & Tavakkoli-Moghaddam, R. (2013). An integrated ap-proach for the cell formation and layout design in cellular manufacturing systems. International Journal of Production Research, 51(20), 6017-6044.
Mahdavi, I., Shirazi, B., & Paydar, M. M. (2008). A flow matrix-based heuristic algorithm for cell formation and layout design in cellular manufacturing system. The International Journal of Ad-vanced Manufacturing Technology, 39(9-10), 943-953.
Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2010). Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assign-ment. Computers & Mathematics with Applications, 60(4), 1014-1025.
Nembhard, D. A. (2001). Heuristic approach for assigning workers to tasks based on individual learn-ing rates. International Journal of Production Research, 39(9), 1955-1968.
Norman, B. A., Tharmmaphornphilas, W., Needy, K. L., Bidanda, B., & Warner, R. C. (2002). Work-er assignment in cellular manufacturing considering technical and human skills. International Jour-nal of Production Research, 40(6), 1479-1492.
Safaei, N., Saidi-Mehrabad, M., & Jabal-Ameli, M. S. (2008). A hybrid simulated annealing for solv-ing an extended model of dynamic cellular manufacturing system. European Journal of Opera-tional Research, 185(2), 563-592.
Süer, G. A., & Tummaluri, R. R. (2008). Multi-period operator assignment considering skills, learning and forgetting in labour-intensive cells. International Journal of Production Research, 46(2), 469-493.
Tompkins, J. A. White, J. A., Bozer, Y. A. and Tanchoco, M. A. (1996). Facility planning. John Wiley and Sons, Inc, New York.
Wemmerlov, U., & Johnson, D. J. (1997). Cellular manufacturing at 46 user plants: implementation experiences and performance improvements. International journal of production research, 35(1), 29-49.
Wirojanagud, P., Gel, E. S., Fowler, J. W., & Cardy, R. (2007). Modelling inherent worker differ-ences for workforce planning. International journal of production research, 45(3), 525-553.

Journal: Management Science Letters | Year: 2017 | Volume: 7 | Issue: 1 | Views: 3284 | Reviews: 0

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