Customer relationship management and new product development in designing a robust supply chain
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 2, pp. 369-391.

New product development is a basic requirement for any company to survive in the competitive market. Most of the organizations realized that relying solely on the traditional competitive levers, such as increasing the quality, reducing costs, and distinguished provision of goods and services is not enough anymore. In addition to the aforementioned competitive advantages, a company needs to introduce new products and out-phase the old ones at the right time. In this research, the design of a supply chain network considering new product development is investigated. Here, the notion of customer relationship management is incorporated into the proposed mathematical model. Moreover, product demand that is inherently uncertain in the real situations is embedded in the proposed robust model. Objectives of new products development, and customer satisfaction along with maximization of the profit is considered in the model. Moreover, an improved multi-choice goal programming method is implemented to solve the model. Finally, the model performance is evaluated for a real-world case.

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DOI : 10.1051/ro/2018107
Classification : 90C11, 90C90, 90C29
Mots-clés : supply chain network design, new product development, customer relationship management, uncertainty, improved goal planning
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     title = {Customer relationship management and new product development in designing a robust supply chain},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {369--391},
     publisher = {EDP-Sciences},
     volume = {54},
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     mrnumber = {4069301},
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     url = {http://archive.numdam.org/articles/10.1051/ro/2018107/}
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Rezaei, Esmaeel; Paydar, Mohammad Mahdi; Sattar Safaei, Abdul. Customer relationship management and new product development in designing a robust supply chain. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 2, pp. 369-391. doi : 10.1051/ro/2018107. http://archive.numdam.org/articles/10.1051/ro/2018107/

[1] A.Z. Afrouzy, S.H. Nasseri, I. Mahdavi and M.M. Paydar, A fuzzy stochastic multi-objective optimization model to configure a supply chain considering new product development. Appl. Math. Model. 40 (2016) 7545–7570. | DOI | MR | Zbl

[2] F. Altiparmak, M. Gen, L. Lin and I. Karaoglan, A steady-state genetic algorithm for multi-product supply chain network design. Comput. Ind. Eng. 56 (2009) 521–537. | DOI

[3] M. Amini and H. Li, Supply chain configuration for diffusion of new products: an integrated optimization approach. Omega 39 (2011) 313–322. | DOI

[4] S. Anderson, “Sanity check”. Destination CRM, Viewpoint, available at: www.destinationcrm.com (2006).

[5] T. Aouam and N. Brahimi, Integrated production planning and order acceptance under uncertainty: A robust optimization approach. Eur. J. Oper. Res. 228 (2013) 504–515. | DOI | MR | Zbl

[6] A. Ben-Tal and A. Nemirovski, Robust convex optimization. Math. Oper. Res. 23 (1998) 769–805. | DOI | MR | Zbl

[7] D. Bertsimas and M. Sim, Robust discrete optimization and network flows. Math. Program. 98 (2003) 49–71. | DOI | MR | Zbl

[8] D. Bertsimas and M. Sim, The price of robustness. Oper. Res. 52 (2004) 35–53. | DOI | MR | Zbl

[9] C. Billington, H.L. Lee and C.S. Tang, Product rollover: process, strategies and opportunities. Sloan Manage. Rev. 39 (1998) 23–30.

[10] C.T. Chang, Multi-choice goal programming. Omega 35 (2007) 389–96. | DOI

[11] C.T. Chang, Revised multi-choice goal programming. Appl. Math. Model. 32 (2008) 2587–2595. | DOI | MR | Zbl

[12] C.T. Chang, Multi-choice goal programming with utility functions. Eur. J. Oper. Res. 215 (2011) 439–445. | DOI | MR | Zbl

[13] A. Charnes and W.W. Cooper, Management Models and Industrial Applications of Linear Programming. Wiley, New York (1961). | MR | Zbl

[14] L. El Ghaoui and H. Lebret, Robust solutions to least-squares problems with uncertain data. SIAM J. Matrix Anal. Appl. 18 (1997) 1035–1064. | DOI | MR | Zbl

[15] C. Forza, F. Salvador and M. Rungtusanatham, Coordinating product design, process design, and supply chain design decisions: Part B. Coordinating approaches, tradeoffs, and future research directions. J. Oper. Manage. 23 (2005) 319–324. | DOI

[16] D. Francas and S. Minner, Manufacturing network configuration in supply chains with product recovery. Omega 37 (2009) 757–769. | DOI

[17] A.C. Garavelli, Flexibility configurations for the supply chain management. Int. J. Prod. Econ. 85 (2003) 141–153. | DOI

[18] N. Gholamian, I. Mahdavi, R. Tavakkoli-Moghaddam and N. Mahdavi-Amiri, Comprehensive fuzzy multi-objective multi-product multi-site aggregate production planning decisions in a supply chain under uncertainty. Appl. Soft Comput. 37 (2015) 585–607. | DOI

[19] O. Jadidi, S. Cavalieri and S. Zolfaghari, An improved multi-choice goal programming approach for supplier selection problems. Appl. Math. Model. 39 (2015) 4213–4222. | DOI | MR | Zbl

[20] M. Jafarian and M. Bashiri, Supply chain dynamic configuration as a result of new product development. Appl. Math. Model. 38 (2014) 1133–1146. | DOI | Zbl

[21] J. Jouzdani, M. Fathian, A. Makui and M. Heydari, Robust design and planning for a multi-mode multi-product supply network: A dairy industry case study. Oper. Res. (2018) 1–30. https://doi.org/10.1007/s12351-018-0395-0.

[22] B. Karakostas, D. Kardaras and E. Papathanassiou, The state of CRM adoption by the financial services in the UK: An empirical investigation. Inf. Manage. 42 (2005) 853–863. | DOI

[23] J. Kettunen, Y. Grushka-Cockayne, Z. Degraeve and B. De Reyck, New product development flexibility in a competitive environment. Eur. J. Oper. Res. 244 (2015) 892–904. | DOI | Zbl

[24] M.S. Kisomi, M. Solimanpur and A. Doniavi, An integrated supply chain configuration model and procurement management under uncertainty. A set-based robust optimization methodology. Appl. Math. Model. 40 (2016) 7928–7947. | DOI | MR | Zbl

[25] E. Koyuncu and R. Erol, PSO based approach for scheduling NPD projects including overlapping process. Comput. Ind. Eng. 85 (2015) 316–327. | DOI

[26] H. Li and K. Womer, Modeling the supply chain configuration problem with resource constraints. Int. J. Project Manage. 26 (2008) 646–654. | DOI

[27] J.J. Liou, A novel decision rules approach for customer relationship management of the airline market. Expert Syst. Appl. 36 (2009) 4374–4381. | DOI

[28] S.M.J. Mirzapour Al-E-Hashem, H. Malekly and M.B. Aryanezhad, A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. Int. J. Prod. Econ. 134 (2011) 28–42. | DOI

[29] J.M. Mulvey, R.J. Vanderbei and S.A. Zenios, Robust optimization of large-scale systems. Oper. Res. 43 (1995) 264–281. | DOI | MR | Zbl

[30] P.K. Naraharisetti and I.A. Karimi, Supply chain redesign and new process introduction in multipurpose plants. Chem. Eng. Sci. 65 (2010) 2596–2607. | DOI

[31] B. Nepal, L. Monplaisir and O. Famuyiwa, A multi-objective supply chain configuration model for new products. Int. J. Prod. Res. 49 (2011) 7107–7134. | DOI

[32] S. Oh, K. Ryu and M. Jung, Reconfiguration framework of a supply network based on flexibility strategies. Comput. Ind. Eng. 65 (2013) 156–165. | DOI

[33] M.M. Paydar, V. Babaveisi and A.S. Safaei, An engine oil closed-loop supply chain design considering collection risk. Comput. Chem. Eng. 104 (2017) 38–55. | DOI

[34] K.J. Petersen, R.B. Handfield and G.L. Ragatz, Supplier integration into new product development: coordinating product, process and supply chain design. J. Oper. Manage. 23 (2005) 371–388. | DOI

[35] I.J. Petrick and A.E. Echols, Technology road mapping in review: A tool for making sustainable new product development decisions”. Technol. Forecast. Soc. Change 71 (2004) 81–100. | DOI

[36] M.S. Pishvaee, M. Rabbani and S.A. Torabi, A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 35 (2011) 637–649. | DOI | MR | Zbl

[37] N.C. Romano Jr and J. Fjermestad, Electronic commerce customer relationship management: A research agenda. Inf. Technol. Manage. 4 (2003) 233–258. | DOI

[38] A.L. Soyster, Technical note–convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21 (1973) 1154–1157. | DOI | Zbl

[39] M. Tracey and R. Neuhaus, Purchasing’s role in global new product-process development projects. J. Purchas. Supply Manage. 19 (2013) 98–105. | DOI

[40] A. Thiele, A robust optimization approach to supply chains and revenue management. (Doctoral dissertation, Massachusetts Institute of Technology) (2004).

[41] E. Van Kleef, H.C. Van Trijp and P. Luning, Consumer research in the early stages of new product development: a critical review of methods and techniques. Food Qual. Prefer. 16 (2005) 181–201. | DOI

[42] J. Wang and Y.F. Shu, A possibilistic decision model for new product supply chain design. Eur. J. Oper. Res. 177 (2007) 1044–1061. | DOI

[43] S. Zokaee, A. Jabbarzadeh, B. Fahimnia and S.J. Sadjadi, Robust supply chain network design: An optimization model with real world application. Ann. Oper. Res. 257 (2014) 15–44. | DOI | MR | Zbl

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