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Open Access Journal Article

Robust Optimization Techniques in Supply Chain Design

by David Martin 1,*
1
David Martin
*
Author to whom correspondence should be addressed.
ORS  2022 4(2):32; https://doi.org/10.69610/j.ors.20220915
Received: 15 July 2022 / Accepted: 26 August 2022 / Published Online: 15 September 2022
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Abstract

The aim of this paper is to provide an in-depth analysis of robust optimization techniques in the field of supply chain design. Supply chains are complex systems that involve the coordination of various entities to deliver products and services to customers efficiently. As such, supply chain design plays a pivotal role in ensuring the overall performance of the supply chain. However, the inherent uncertainties in demand, lead times, and costs pose significant challenges to the design process. Robust optimization techniques offer a promising approach to address these challenges by incorporating uncertainty into the design model. This paper reviews the evolution of robust optimization techniques and their application in supply chain design. It discusses the advantages of using robust optimization over traditional deterministic models, highlighting the ability to handle uncertainty and improve the robustness of the supply chain. Furthermore, the paper presents case studies demonstrating the practical application of robust optimization techniques in various industries. In conclusion, the paper emphasizes the importance of robust optimization in enhancing the resilience and sustainability of supply chain designs.

Keywords: Robust Optimization; Supply Chain Design; Uncertainty Management; Supply Chain Resilience; Performance Improvement.;
Copyright: © 2022 by Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Martin, D. (2022). Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics, 4(2), 32. doi:10.69610/j.ors.20220915
ACS Style
Martin, D. Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics, 2022, 4, 32. doi:10.69610/j.ors.20220915
AMA Style
Martin D. Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics; 2022, 4(2):32. doi:10.69610/j.ors.20220915
Chicago/Turabian Style
Martin, David 2022. "Robust Optimization Techniques in Supply Chain Design" Operations Research and Statistics 4, no.2:32. doi:10.69610/j.ors.20220915

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ACS Style
Martin, D. Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics, 2022, 4, 32. doi:10.69610/j.ors.20220915
AMA Style
Martin D. Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics; 2022, 4(2):32. doi:10.69610/j.ors.20220915
Chicago/Turabian Style
Martin, David 2022. "Robust Optimization Techniques in Supply Chain Design" Operations Research and Statistics 4, no.2:32. doi:10.69610/j.ors.20220915
APA style
Martin, D. (2022). Robust Optimization Techniques in Supply Chain Design. Operations Research and Statistics, 4(2), 32. doi:10.69610/j.ors.20220915

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