Supply chain reconfiguration for new product development through risk management approach

Document Type : Article

Authors

1 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.

3 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract

We are living in an era that innovation is increasingly growing and products’ lifetime is decreasing. In this situation new product development is an advantage that makes it possible to survive in the competitive market. However, risks are unavoidable in new product development in any industries. Therefore, identifying, management and mitigation of risks are considered of high significance for companies. By taking risk management into account, this study introduces a new, multi-objective, mathematical model for supply chain configuration in the presence of a new product. The considered supply chain is multi-echelon, multi-resources, multi-period, and multi-product. In order to manage the risk in this supply chain, appropriate mitigation strategies were chosen from various risk response strategies considering their cost and effectiveness as well as influence of each choice on supply chain was also taken into account in the mathematical model. The assumed model explored the optimum tactical and operational SCM decisions. The ability of the model was assessed by solving an example. The result showed that the choice of various response strategies as well as new product production influenced supply chain configuration.

Keywords

Main Subjects


1. Ramezani, M., Kimiagari, A.M., and Karimi, B. Interrelating physical and _nancial ows in a biobjective closed-loop supply chain network problem with uncertainty", Scientia Iranica, Transaction E, Industrial Engineering, 22(3), pp. 1278{1293 (2015). 2. Afshar-Bakeshloo, M., Bozorgi-Amiri, A., Sajadi, S.M., and Jolai, F. A multi-objective environmental Hedging point policy with customer satisfaction criteria", Journal of Cleaner Production, 179, pp. 478{494 (2018). 3. Markham, S.K. and Lee, H. Product development and management association's 2012 comparative performance assessment study", Journal of Product Innovation Management, 30(3), pp. 408{429 (2013). 4. Brandenburg, M. A hybrid approach to con_gure ecoe _cient supply chains under consideration of performance and risk aspects", Omega, 70, pp. 58{76 (2017). 5. Mu, J., Peng, G., and MacLachlan, D.L. E_ect of risk management strategy on NPD performance", Technovation, 29(3), pp. 170{180 (2009). 6. Aqlan, F. and Lam, S.S. Supply chain optimization under risk and uncertainty: A case study for highend server manufacturing", Computers & Industrial Engineering, 93, pp. 78{87 (2016). 7. Qazi, A., Quigley, J., and Dickson, A. Supply chain risk management: Systematic literature review and a conceptual framework for capturing interdependencies between risks", Industrial Engineering and Operations Management (IEOM), 2015 International Conference on. IEEE, pp. 1{13 (2015). 8. Liu, B. and Sun, F. Research on the risk assessment method of PPP project based on the improved matter element model", Scientia Iranica, 27(2), pp. 614{624 (2020). 9. Fourt, L.A. and Woodlock, J.W. Early prediction of market success for new grocery products", The Journal of Marketing, 25(2), pp. 31{38 (1960). 10. Amini, M. and Li, H. Supply chain con_guration for di_usion of new products: an integrated optimization approach", Omega, 39(3), pp. 313{322 (2011). 11. Li, H. and Amini, M. A hybrid optimisation approach to con_gure a supply chain for new product di_usion: a case study of multiple-sourcing strategy", International Journal of Production Research, 50(11), pp. 3152{3171 (2012). 12. Gaur, J., Amini, M., and Rao, A.K. Closed-loop supply chain con_guration for new and reconditioned products: An integrated optimization model", Omega, 66, pp. 212{223 (2017). 13. Nepal, B., Monplaisir, L., and Famuyiwa, O. A multi-objective supply chain con_guration model for new products", International Journal of Production Research, 49(23), pp. 7107{7134 (2011). 14. Jafarian, M. and Bashiri, M. Supply chain dynamic con_guration as a result of new product development", Applied Mathematical Modelling, 38(3), pp. 1133{1146 (2014). 15. Alizadeh Afrouzy, Z., Nasseri, S.H., and Mahdavi, I. A genetic algorithm for supply chain con_guration with new product development", Computers & Industrial Engineering, 101, pp. 440{454 (2016). 16. Alizadeh Afrouzy, Z., Nasseri, S.H., Mahdavi, I., and Paydar, M.M. A fuzzy stochastic multi-objective optimization model to con_gure a supply chain considering new product development", Applied Mathematical Modelling, 40(17{18), pp. 7545{7570 (2016). 17. Brandenburg, M. Low carbon supply chain con_guration for a new product{a goal programming approach", International Journal of Production Research, 53(21), pp. 6588{6610 (2015). 18. Graves, S.C. and Willems, S.P. Optimizing the supply chain con_guration for new products", Management Science, 51(8), pp. 1165{1180 (2005). 19. Chauhan, S.S., Nagi, R., and Proth, J.-M. Strategic capacity planning in supply chain design for a new market opportunity", International Journal of Production Research, 42(11), pp. 2197{2206 (2004). 20. Jahani, H., Abbasi, B., and Alavifard, F. Supply chain network recon_guration in new products launching phase", Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on. IEEE, pp. 95{99 (2017). 21. Klibi, W., Martel, A., and Guitouni, A. The design of robust value-creating supply chain networks: a critical M. Sabzevari et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 2108{2126 2125 review", European Journal of Operational Research, 203(2), pp. 283{293 (2010). 22. Kayis, B., Arndt, G., Zhou, M., and Amornsawadwatana, S. A risk mitigation methodology for new product and process design in concurrent engineering projects", CIRP Annals-Manufacturing Technology, 56(1), pp. 167{170 (2007). 23. Tang, O. and Nurmaya Musa, S. Identifying risk issues and research advancements in supply chain risk management", International Journal of Production Economics, 133(1), pp. 25{34 (2011). 24. Prakash, S., Soni, G., and Rathore, A.P.S. A critical analysis of supply chain risk management content: a structured literature review", Journal of Advances in Management Research, 14(1), pp. 69{90 (2017). 25. Peidro, D., Mula, J., Poler, R., and Lario, F.C. Quantitative models for supply chain planning under uncertainty: a review", The International Journal of Advanced Manufacturing Technology, 43(3{4), pp. 400{420 (2009). 26. Khojasteh-Ghamari, Z. and Irohara, T. Supply chain risk management: A comprehensive review", Supply Chain Risk Management, Springer, Singapore, pp. 3{ 22 (2018). 27. Sahling, F. and Kayser, A. Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty", Omega, 59, pp. 201{ 214 (2016). 28. Guill_en, G., Mele, F.D., Bagajewicz, M.J., Espuna, A., and Puigjaner, L. Multiobjective supply chain design under uncertainty", Chemical Engineering Science, 60(6), pp. 1535{1553 (2005). 29. Azaron, A., Brown, K.N., Tarim, S.A., and Modarres, M. A multi-objective stochastic programming approach for supply chain design considering risk", International Journal of Production Economics, 116(1), pp. 129{138 (2008). 30. Nickel, S., Saldanha-da-Gama, F., and Ziegler, H.-P. A multi-stage stochastic supply network design problem with _nancial decisions and risk management", Omega, 40(5), pp. 511{524 (2012). 31. Huang, G.Q., Zhang, X.Y., and Liang, L. Towards integrated optimal con_guration of platform products, manufacturing processes, and supply chains", Journal of Operations Management, 23(3{4), pp. 267{290 (2005). 32. Heckmann, I., Comes, T., and Nickel, S. A critical review on supply chain risk{de_nition, measure and modeling", Omega, 52, pp. 119{132 (2015). 33. Fahimnia, B., Tang, C.S., Davarzani, H., and Sarkis, J. Quantitative models for managing supply chain risks: A review", European Journal of Operational Research, 24(1), pp. 1{15 (2015). 34. Brandenburg, M. and Schilling, R. Value impacts of dynamics and uncertainty in tactical supply chain design for new product introduction", Proceedings of the German-Italian Conference on the Interdependencies Between New Product Development and Supply Chain Management, pp. 26{39 (2010). 35. Brandenburg, M., Kuhn, H., Schilling, R., and Seuring, S. Performance-and value-oriented decision support for supply chain con_guration", Logistics Research, 7(1), p. 118 (2014). 36. Butler, R.J., Ammons, J.C., and Sokol, J. Planning the supply chain network for new products: A case study", Engineering Management Journal, 18(2), pp. 35{43 (2006). 37. Hansen, K.R.N. and Grunow, M. Planning operations before market launch for balancing time-to-market and risks in pharmaceutical supply chains", International Journal of Production Economics, 161, pp. 129{139 (2015). 38. Higuchi, T. and Troutt, M.D. Dynamic simulation of the supply chain for a short life cycle product-lessons from the Tamagotchi case", Computers & Operations Research, 31(7), pp. 1097{1114 (2004). 39. Pan, F. and Nagi, R. Robust supply chain design under uncertain demand in agile manufacturing", Computers & Operations Research, 37(4), pp. 668{683 (2010). 40. Schilling, R., Brandenburg, M., and Kuhn, H. Simulation-based evaluation of tactical supply chain design scenarios for new product introduction", International Annual EurOMA Conference : Managing Operations in Service Economics (2010). 41. Farahani, R.Z., Rezapour, S., Drezner, T., and Fallah, S. Competitive supply chain network design: An overview of classi_cations, models, solution techniques and applications", Omega, 45, pp. 92{118 (2014).