Volume 55, Number 2, March-April 2021
|Page(s)||921 - 945|
|Published online||07 May 2021|
Economic pricing of complex products in a competitive closed-loop supply chain network under uncertainty: A case study of CoPS industry
Department of Industrial Engineering, University of Science and Technology, Tehran, Iran
2 Department of Industrial Engineering, University of Islamic Azad, Science and Research, Tehran, Iran
3 Department of Industrial Engineering, University of Malek-e Ashtar University Technology, Tehran, Iran
4 National Elites Foundation of Iran, Tehran, Iran
* Corresponding author: firstname.lastname@example.org
Accepted: 30 December 2020
The development of technology, globalization of the economy and the unpredictable behavior of customers have eventuated in a dynamic and competitive environment in the complex product systems (CoPS) market. Besides, CoPS economic pricing is one of the key factors that dramatically reduces production costs and increases competitiveness. In this regard, this paper unveils a hybrid data envelopment analysis (DEA)-fuzzy mathematical model for economic pricing of CoPS in a competitive closed-loop supply chain network under uncertainty. In the first stage, different CoPS suppliers are evaluated exploiting a DEA model based on a set of economic, technical, and geographical criteria. The advantage of this evaluation is choosing appropriate suppliers, and reducing the complexity of the original model. Next, using a robust optimization model, the strategic and tactical decisions are simultaneously determined, providing a fully optimal solution to the model. In the concerned model, the costs and capacities of facilities are considered to be hemmed in by uncertainty. Eventually, to evaluate the proposed approach, a case study is conducted to derive the important managerial results. The numerical results corroborate that the presented robust model is capable of providing a stable structure under different realizations.
Key words: Complex products and its subsystems / uncertainty / fuzzy robust optimization / pricing / data envelopment analysis / competitive closed-loop supply chain / simulation
© EDP Sciences, ROADEF, SMAI 2021
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