Optimizing the interaction between two closed-loop supply chains based on inverse logistics using the game theory method

• Autorzy: Trung Nguyen Dinh , Huy Dinh Tran Ngoc , Chetthamrongchai Paitoon , Mohsen Karrar Shareef , Iskandar Ahmad Syarief , Nurjaya A. , Sunarsi Denok , Singh Krishanveer , Chupradit Supat

Identyfikatory

DOI

10.2478/fcds-2022-0025

• Języki publikacji: EN

Abstrakty

EN

Over the past few years, attention to environmental problems, legal necessities, and economic advantages emerging from reproduction activities has attracted attention to reverse logistics activities in the form of a closed-loop supply chain, whether in industry or scientific research. The current study aims to model competitiveness and comparison between two closed-loop three-level supply chains, each of which includes a manufacturer, a retailer, and a third party to collect the products used by the customer, taking into account the concepts of game theory and the existence of aggregates. Moreover, a separate supplier for each chain is considered. In the forward supply chain, the manufacturer produces new products using new components or re-used products that have been collected from the consumer, then sells these products mainly to the retailer, and the retailer sells them. In the reverse chain, the collector provides the used products to the manufacturer after collection. The study utilized the definitions and concepts of game theory to model this closed loop chain as a Stackelberg game to obtain the optimal value of wholesale and retail price and the optimal value of the product return coefficient for the collector. Finally, the models based on some numerical examples are solved. Given the results, the remanufacturing costs have a significant role in making more profits for all members in such chains, and competitive chains should attempt to remanufacture the products at lower costs.

Słowa kluczowe

EN

closed-loop supply chain; game theory; out-of-chain competition; reverse logistics; Stackelberg game

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2022
• Tom: Vol. 47, No. 4
• Strony: 455--467
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Trung Nguyen Dinh

• National Economics University (NEU), Hanoi, Vietnam

• https://orcid.org/0000-0002-0484-6463

autor

Huy Dinh Tran Ngoc

• Banking university HCMC Ho Chi, Minh city, Vietnam- International University of Japan, Niigata, Japan

• https://orcid.org/0000-0001-5994-5330

autor

Chetthamrongchai Paitoon

• Faculty of Business Administration, Kasetsart University, Thailand

• https://orcid.org/0000-0002-9744-4358

autor

Mohsen Karrar Shareef

• Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq

• https://orcid.org/0000-0002-9112-2198

autor

Iskandar Ahmad Syarief

• State Islamic Institute of Palopo, IndonesiaState Islamic Institute of Palopo, Indonesia

• https://orcid.org/0000-0002-5415-4764

autor

Nurjaya A.

• Universitas Suryakancana, Cianjur, Jawa Barat, Indonesia

• https://orcid.org/0000-0002-7540-5630

autor

Sunarsi Denok

• Universitas Pamulang, Tangerang Selatan, Banten, Indonesia

• https://orcid.org/0000-0001-6876-0143

autor

Singh Krishanveer

• GLA University Mathura, India

• https://orcid.org/0000-0003-2180-6276

autor

Chupradit Supat

• Department of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand

• https://orcid.org/0000-0002-8596-2991

Bibliografia

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