<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly competitive context that is progressing on a daily basis. Rapid economic changes and increasing competitive pressure in global markets have led companies to pay special attention to their supply chains. As a result, in this research, a mathematical model is proposed to minimize closed loop supply chain costs taking into account environmental effects. Thus, suppliers first send wood as raw materials from forests to factories. After processing the wood and turning it into products, the factories send the wood to retailers. The retailers then send the products to the customers. Finally, customers send returned products to recovery centers. After processing the products, the recovery centers send their products to the factories. The considered innovations include: designing a supply chain of wood products regarding environmental effects, customizing the genetic solution approach to solve the proposed model 3-Considering the flow of wood products and determining the amount of raw materials and products sent and received.</p>
</abstract>

Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly competitive context that is progressing on a daily basis. Rapid economic changes and increasing competitive pressure in global markets have led companies to pay special attention to their supply chains. As a result, in this research, a mathematical model is proposed to minimize closed loop supply chain costs taking into account environmental effects. Thus, suppliers first send wood as raw materials from forests to factories. After processing the wood and turning it into products, the factories send the wood to retailers. The retailers then send the products to the customers. Finally, customers send returned products to recovery centers. After processing the products, the recovery centers send their products to the factories. The considered innovations include: designing a supply chain of wood products regarding environmental effects, customizing the genetic solution approach to solve the proposed model 3-Considering the flow of wood products and determining the amount of raw materials and products sent and received.

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Department of Industrial Engineering, Faculty of Industrial Engineering

South-Tehran Branch, Islamic Azad University

Department of Logistics, Tourism and Service Management

German University of Technology in Oman (GUtech)

Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch

Department of Industrial Engineering, Najafabad Branch

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly...

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Data publikacji: 13 gru 2022

Zakres stron: 383 - 408

Otrzymano: 22 gru 2021

Przyjęty: 09 maj 2022

DOI: https://doi.org/10.2478/fcds-2022-0021

Słowa kluczowe
Supply chain, Environmental effects, Inventory control Meta-heuristic algorithm

© 2022 Abdollah Babaeinesami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm

Data publikacji: 13 gru 2022

Zakres stron: 383 - 408

Otrzymano: 22 gru 2021

Przyjęty: 09 maj 2022

DOI: https://doi.org/10.2478/fcds-2022-0021

Słowa kluczoweSupply chain, Environmental effects, Inventory control Meta-heuristic algorithm

© 2022 Abdollah Babaeinesami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Supply chain, Environmental effects, Inventory control Meta-heuristic algorithm