Designing a Green Supply Chain Transportation System for an Automotive Company Based On Bi-Objective Optimization

• Autorzy: Syah Rahmad , Nasution Mahyuddin M. , Shol Vladimir Vladimirovich , Kireeva Natalia , Jalil Abduladheem Turki , Chen Tzu-Chia , Aravindhan Surendar , Abood Emad Salaam , Alkaim Ayad F.

Identyfikatory

DOI

10.2478/fcds-2022-0011

• Języki publikacji: EN

Abstrakty

EN

Recently, due to the increasing awareness of communities regarding environmental issues and environmental regulations, companies have evolved to provide products with lower prices and better quality to retain and attract customers. Economics should also pay attention to environmental goals. Therefore, it is essential to provide a supply chain model that can consider both economic and environmental objectives. In this paper, the green direct supply chain network is presented to an automotive company, including five suppliers, primary warehouses, manufacturing plants, distributors, and sales centers. The objectives of this model are to minimize the total cost of construction, transportation, and the amount of carbon dioxide emissions during forwarding network transportation at all levels. The proposed model is also drawn using the weight method, which is one of the methods for solving multi-objective problems, and the solution of the model part. Ultimately, it has been discussed how much the automobile company should focus on reducing carbon dioxide so that managers can determine the best solutions from the Pareto border according to their organization's priorities, which can be environmental or financial.

Słowa kluczowe

EN

multi-objective optimization; green supply chain; transportation; weighting method

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2022
• Tom: Vol. 47, No. 2
• Strony: 193--207
• Opis fizyczny: Bibliogr. 26 poz., rys., tab., wykr.

Twórcy

autor

Syah Rahmad

• DS & CI Research Group Universitas Medan Area, Medan, Indonesia

autor

Nasution Mahyuddin M.

• Data Science & Computational Intelligence Research Group Universitas Sumatera, Utara Medan, Indonesia

• https://orcid.org/0000-0003-1089-9841

autor

Shol Vladimir Vladimirovich

• Economic Sciences Department of Economic Analysis, Federal State Budgetary Educational Institution of Higher Education “Kuban State Agrarian University named after I.T. Trubilin”, Krasnodar, Russia

autor

Kireeva Natalia

• Plekhanov Russian University of Economics, Associate professor of Entrepreneurship and Logistics Department

• https://orcid.org/0000-0003-1008-7026

autor

Jalil Abduladheem Turki

• Medical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon, Hilla, Iraq

• https://orcid.org/0000-0001-8403-7465

autor

Chen Tzu-Chia

• CAIC, DPU, Thailand

• https://orcid.org/0000-0002-2942-7839

autor

Aravindhan Surendar

• Department of Pharmacology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India

• https://orcid.org/0000-0002-2421-9192

autor

Abood Emad Salaam

• Medical physics department, Hilla university college, Babylon, Iraq

• https://orcid.org/0000-0003-4146-2378+

autor

Alkaim Ayad F.

• College of science for women University of Babylon, Iraq

• https://orcid.org/0000-0003-3459-4583+

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