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

<p>With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model in the facility location decision-making in supply chains.</p>
</abstract>

With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model in the facility location decision-making in supply chains.

Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Assistant professor at University of Prishtina “Hasan Prishtina”, Economic Faculty

Public Health Department, Faculty of Health Science

University of Pembangunan Nasional Veteran Jakarta

College of technical engineering, The Islamic University

Foundations of Computing and Decision Sciences

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

With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has...

Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Published Online: Dec 13, 2022

Page range: 409 - 420

Received: Jul 16, 2022

Accepted: Nov 21, 2022

DOI: https://doi.org/10.2478/fcds-2022-0022

Keywords
Capacity levels, network design, probability of occurrence, scenario building, supply chain

© 2022 Paitoon Chetthamrongchai et al., published by Sciendo

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

Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Published Online: Dec 13, 2022

Page range: 409 - 420

Received: Jul 16, 2022

Accepted: Nov 21, 2022

DOI: https://doi.org/10.2478/fcds-2022-0022

KeywordsCapacity levels, network design, probability of occurrence, scenario building, supply chain

© 2022 Paitoon Chetthamrongchai et al., published by Sciendo

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

Keywords
Capacity levels, network design, probability of occurrence, scenario building, supply chain