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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Muhammad Salman Shabbir & Ahmed Faisal Siddiqi & Lis M. Yapanto & Evgeny E. Tonkov & Andrey Leonidovich Poltarykhin & Anna Valeryevna Pilyugina & Aleksandr Mikhailovich Petrov & Amin Foroughi & Dinara, 2021. "Closed-Loop Supply Chain Design and Pricing in Competitive Conditions by Considering the Variable Value of Return Products Using the Whale Optimization Algorithm," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6663-:d:573399
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    References listed on IDEAS

    as
    1. Aras, Necati & Aksen, Deniz & Gönül Tanugur, Ayse, 2008. "Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1223-1240, December.
    2. Jian Wang & Xueyan Wang & Mingzhu Yu, 2020. "Multi-Period Multi-Product Supply Chain Network Design in the Competitive Environment," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, February.
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    Cited by:

    1. Erfan Babaee Tirkolaee & Alireza Goli & Hêriş Golpîra & Ernesto D. R. Santibañez Gonzalez, 2023. "Sustainable Global Supply Chain Management from an International Perspective," Sustainability, MDPI, vol. 15(16), pages 1-2, August.
    2. Mohamed Hussein & Abdelrahman E. E. Eltoukhy & Amos Darko & Amr Eltawil, 2021. "Simulation-Optimization for the Planning of Off-Site Construction Projects: A Comparative Study of Recent Swarm Intelligence Metaheuristics," Sustainability, MDPI, vol. 13(24), pages 1-41, December.
    3. Muhammad Riaz & Aamir Hanif & Haris Masood & Muhammad Attique Khan & Kamran Afaq & Byeong-Gwon Kang & Yunyoung Nam, 2021. "An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer," Sustainability, MDPI, vol. 13(23), pages 1-12, December.
    4. Mohammad Ali Beheshtinia & Parisa Feizollahy & Masood Fathi, 2021. "Supply Chain Optimization Considering Sustainability Aspects," Sustainability, MDPI, vol. 13(21), pages 1-23, October.

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