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
Mots-clés : supply chain network design, new product development, customer relationship management, uncertainty, improved goal planning
@article{RO_2020__54_2_369_0,
author = {Rezaei, Esmaeel and Paydar, Mohammad Mahdi and Sattar Safaei, Abdul},
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},
number = {2},
year = {2020},
doi = {10.1051/ro/2018107},
mrnumber = {4069301},
zbl = {1443.90257},
language = {en},
url = {http://www.numdam.org/articles/10.1051/ro/2018107/}
}
TY - JOUR AU - Rezaei, Esmaeel AU - Paydar, Mohammad Mahdi AU - Sattar Safaei, Abdul TI - Customer relationship management and new product development in designing a robust supply chain JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2020 SP - 369 EP - 391 VL - 54 IS - 2 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2018107/ DO - 10.1051/ro/2018107 LA - en ID - RO_2020__54_2_369_0 ER -
%0 Journal Article %A Rezaei, Esmaeel %A Paydar, Mohammad Mahdi %A Sattar Safaei, Abdul %T Customer relationship management and new product development in designing a robust supply chain %J RAIRO - Operations Research - Recherche Opérationnelle %D 2020 %P 369-391 %V 54 %N 2 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2018107/ %R 10.1051/ro/2018107 %G en %F RO_2020__54_2_369_0
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://www.numdam.org/articles/10.1051/ro/2018107/
[1] , , and , 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] , , and , A steady-state genetic algorithm for multi-product supply chain network design. Comput. Ind. Eng. 56 (2009) 521–537. | DOI
[3] and , Supply chain configuration for diffusion of new products: an integrated optimization approach. Omega 39 (2011) 313–322. | DOI
[4] , “Sanity check”. Destination CRM, Viewpoint, available at: www.destinationcrm.com (2006).
[5] and , Integrated production planning and order acceptance under uncertainty: A robust optimization approach. Eur. J. Oper. Res. 228 (2013) 504–515. | DOI | MR | Zbl
[6] and , Robust convex optimization. Math. Oper. Res. 23 (1998) 769–805. | DOI | MR | Zbl
[7] and , Robust discrete optimization and network flows. Math. Program. 98 (2003) 49–71. | DOI | MR | Zbl
[8] and , The price of robustness. Oper. Res. 52 (2004) 35–53. | DOI | MR | Zbl
[9] , and , Product rollover: process, strategies and opportunities. Sloan Manage. Rev. 39 (1998) 23–30.
[10] , Multi-choice goal programming. Omega 35 (2007) 389–96. | DOI
[11] , Revised multi-choice goal programming. Appl. Math. Model. 32 (2008) 2587–2595. | DOI | MR | Zbl
[12] , Multi-choice goal programming with utility functions. Eur. J. Oper. Res. 215 (2011) 439–445. | DOI | MR | Zbl
[13] and , Management Models and Industrial Applications of Linear Programming. Wiley, New York (1961). | MR | Zbl
[14] and , Robust solutions to least-squares problems with uncertain data. SIAM J. Matrix Anal. Appl. 18 (1997) 1035–1064. | DOI | MR | Zbl
[15] , and , 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] and , Manufacturing network configuration in supply chains with product recovery. Omega 37 (2009) 757–769. | DOI
[17] , Flexibility configurations for the supply chain management. Int. J. Prod. Econ. 85 (2003) 141–153. | DOI
[18] , , and , 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] , and , An improved multi-choice goal programming approach for supplier selection problems. Appl. Math. Model. 39 (2015) 4213–4222. | DOI | MR | Zbl
[20] and , Supply chain dynamic configuration as a result of new product development. Appl. Math. Model. 38 (2014) 1133–1146. | DOI | Zbl
[21] , , and , 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] , and , The state of CRM adoption by the financial services in the UK: An empirical investigation. Inf. Manage. 42 (2005) 853–863. | DOI
[23] , , and , New product development flexibility in a competitive environment. Eur. J. Oper. Res. 244 (2015) 892–904. | DOI | Zbl
[24] , and , 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] and , PSO based approach for scheduling NPD projects including overlapping process. Comput. Ind. Eng. 85 (2015) 316–327. | DOI
[26] and , Modeling the supply chain configuration problem with resource constraints. Int. J. Project Manage. 26 (2008) 646–654. | DOI
[27] , A novel decision rules approach for customer relationship management of the airline market. Expert Syst. Appl. 36 (2009) 4374–4381. | DOI
[28] , and , 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] , and , Robust optimization of large-scale systems. Oper. Res. 43 (1995) 264–281. | DOI | MR | Zbl
[30] and , Supply chain redesign and new process introduction in multipurpose plants. Chem. Eng. Sci. 65 (2010) 2596–2607. | DOI
[31] , and , A multi-objective supply chain configuration model for new products. Int. J. Prod. Res. 49 (2011) 7107–7134. | DOI
[32] , and , Reconfiguration framework of a supply network based on flexibility strategies. Comput. Ind. Eng. 65 (2013) 156–165. | DOI
[33] , and , An engine oil closed-loop supply chain design considering collection risk. Comput. Chem. Eng. 104 (2017) 38–55. | DOI
[34] , and , Supplier integration into new product development: coordinating product, process and supply chain design. J. Oper. Manage. 23 (2005) 371–388. | DOI
[35] and , Technology road mapping in review: A tool for making sustainable new product development decisions”. Technol. Forecast. Soc. Change 71 (2004) 81–100. | DOI
[36] , and , A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 35 (2011) 637–649. | DOI | MR | Zbl
[37] and , Electronic commerce customer relationship management: A research agenda. Inf. Technol. Manage. 4 (2003) 233–258. | DOI
[38] , Technical note–convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21 (1973) 1154–1157. | DOI | Zbl
[39] and , Purchasing’s role in global new product-process development projects. J. Purchas. Supply Manage. 19 (2013) 98–105. | DOI
[40] , A robust optimization approach to supply chains and revenue management. (Doctoral dissertation, Massachusetts Institute of Technology) (2004).
[41] , and , 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] and , A possibilistic decision model for new product supply chain design. Eur. J. Oper. Res. 177 (2007) 1044–1061. | DOI
[43] , , and , 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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