Dynamic virtual cell formation considering new product development

Document Type : Article

Authors

Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, P.O. Box 4714871167, Iran.

Abstract

Nowadays, factories should be coordinated with changes in the dynamic environment due to the intense competition in the businesses. Different strategies and systems are existing to help factories in a dynamic situation. In this article, a new multi-objective mathematical model is presented by the implementation of dynamic virtual cellular manufacturing and also considering new product development which enables factories to be successful in their business. This paper contains three objectives including maximizing the total profits of the factory in all the periods, the grouping efficacy and also the number of the new product. After linearization of the proposed model, multi-choice goal programming with utility function is used to solve the model. In addition, a case study has been conducted in the real world to show the effectiveness of the proposed model and finally, the results show that the integration of virtual cellular manufacturing with new product development can be helpful for managers and companies and leads to more efficiency.

Keywords

Main Subjects

References

References:
1. Paydar, M.M., and Saidi-Mehrabad, M. "A hybrid genetic algorithm for dynamic virtual cellular manufacturing with supplier selection", The International Journal of Advanced Manufacturing Technology, 92(5- 8), pp. 3001-3017 (2017).
2. Suh, N.P., The Principles of Design, Oxford University Press on Demand, 6 (1990).
3. Barclay, I., Dann, Z., and Holroyd, P., New Product Development, Routledge (2010).
4. Pahl, G. and Beitz, W., Engineering Design: A Systematic Approach, Springer Science & Business Media (2013).
5. Cooper, R.G. "Stage-gate systems: a new tool for managing new products", Business Horizons, 33(3), pp. 44-54 (1990).
6. Jafarian, M. and Bashiri, M. "Supply chain dynamic configuration as a result of new product development", Applied Mathematical Modelling, 38(3), pp. 1133-1146 (2014).
7. Behnia, B., Mahdavi, I., Shirazi, B., and Paydar, M.M. "A bi-objective mathematical model for cellular manufacturing system applying evolutionary algorithms", Scientia Iranica, 26(4), pp. 2541-2560 (2019).
8. Mahdavi, I., Aalaei, A., Paydar, M.M., and Solimanpur, M. "Production planning and cell formation in dynamic virtual cellular manufacturing systems with worker  flexibility", International Conference on Computers & Industrial Engineering, IEEE, pp. 663- 667 (2009).
9. Mahdavi, I., Aalaei, A., Paydar, M.M., and Solimanpur, M. "Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems", International Journal of Production Research, 49(21), pp. 6517-6537 (2011).
10. Han, W., Wang, F., and Lv, J. "Virtual cellular multiperiod formation under the dynamic environment", IERI Procedia, 10, pp. 98-104 (2014).
11. Paydar, M.M., and Saidi-Mehrabad, M. "Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters", International Journal of Computer Integrated Manufacturing, 28(3), pp. 251-265 (2015).
12. Baykasoglu, A. and Gorkemli, L. "Dynamic virtual cellular manufacturing through agent-based modelling", International Journal of Computer Integrated Manufacturing, 30(6), pp. 564-579 (2017).
13. Rabbani, M., Keyhanian, S., Manavizadeh, N., and Farrokhi-Asl, H. "Integrated dynamic cell formationproduction planning: A new mathematical model", Scientia Iranica, 24(5), pp. 2550-2566 (2017).
14. Rabbani, M., Farrokhi-Asl, H., and Ravanbakhsh, M. "Dynamic cellular manufacturing system considering machine failure and workload balance", Journal of Industrial Engineering International, 15(1), pp. 25-40 (2019).
15. Ulrich, K.T., Product Design and Development, Tata McGraw-Hill Education (2003).
16. Lim, W.S., and Tang, C.S. "Optimal product rollover strategies", European Journal of Operational Research, 174(2), pp. 905-922 (2006).
17. Koca, E., Souza, G.C., and Druehl, C.T. "Managing product rollovers", Decision Sciences, 41(2), pp. 403- 423 (2010).
18. Beauregard, Y., Polotski, V., Bhuiyan, N., and Thomson, V. "Optimal utilisation level for lean product development in a multitasking context", International Journal of Production Research, 55(3), pp. 795-818 (2017).
19. Nafisi, M., Wiktorsson, M., and Rosio, C. "Manufacturing involvement in new product development: An explorative case study in heavy automotive component assembly", Procedia CIRP, 50, pp. 65-69 (2016).
20. Chang, C.T. "Multi-choice goal programming with utility functions", European Journal of Operational Research, 215(2), pp. 439-445 (2011).
Scientia Iranica
Volume 27, Issue 4
Transactions on Industrial Engineering (E)
July and August 2020
Pages 2093-2107

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