Closed-Loop Supply Chain Design and Pricing in Competitive Conditions by Considering the Variable Value of Return Products Using the Whale Optimization Algorithm

Muhammad Salman Shabbir, Ahmed Faisal Siddiqi, Lis M. Yapanto, Evgeny E. Tonkov, Andrey Leonidovich Poltarykhin, Anna Valeryevna Pilyugina, Aleksandr Mikhailovich Petrov, Amin Foroughi and Dinara A. Valiullina
Additional contact information
Muhammad Salman Shabbir: Department of Management, College of Commerce and Business Administration, Dhofar University, Salalah 211, Oman
Ahmed Faisal Siddiqi: UCP Business School, University of Central Punjab, Lahore 54590, Pakistan
Lis M. Yapanto: Faculty of Fisheries and Marine Science, Universitas Negeri Gorontalo, Gorontalo 96128, Indonesia
Evgeny E. Tonkov: Department of Law, Belgorod State University, 308015 Belgorod, Russia
Andrey Leonidovich Poltarykhin: Basic Department of the Federal Antimonopoly Service of Russia, Plekhanov Russian University of Economics, 117997 Moscow, Russia
Anna Valeryevna Pilyugina: Department of Finance, Bauman Moscow State Technical University, 105005 Moscow, Russia
Aleksandr Mikhailovich Petrov: Department of Business Analysis, Financial University under the Government of the Russian Federation, 125167 Moscow, Russia
Amin Foroughi: Department of Industrial Engineering, Islamic Azad University, Naragh 3796158719, Iran
Dinara A. Valiullina: Department of Legal Disciplines, Kazan Federal University, 420008 Kazan, Russia

Sustainability, 2021, vol. 13, issue 12, 1-17

Abstract: In today’s competitive environment, organizations, in addition to trying to improve their production conditions, have a special focus on their supply chain components. Cooperation between supply chain members always reduces unforeseen costs and speeds up the response to customer demand. In the new situation, according to the category of return products and their reprocessing, supply chains have found a closed-loop structure. In this research, the aim was to design a closed-loop supply chain in competitive conditions. For this purpose, the key decisions of this chain included locating retail centers, adjusting the inventory of chain members, and selling prices of final products, optimally determined. For this purpose, a nonlinear integer mathematical model is presented. One of the most important innovations of this research was considering the variable value for return products. Then, in order to solve the proposed model, a whale optimization algorithm was developed. Numerical results from the sample examples showed that the whale algorithm had a very good performance in terms of response quality and speed-of-action in finding the optimal solution to this problem.

Keywords: sustainable supply chain; closed-loop supply chain network design; returned products; hybrid meta-heuristic algorithm; whale optimization algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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