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Open Access Journal Article

Optimization Models for Supply Chain Management in Global Markets

by Michael Anderson 1,*
1
Michael Anderson
*
Author to whom correspondence should be addressed.
ORS  2022 4(1):27; https://doi.org/10.69610/j.ors.20220314
Received: 20 January 2022 / Accepted: 10 February 2022 / Published Online: 14 March 2022
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Abstract

This paper explores the application of optimization models in the context of global supply chain management (SCM). As businesses expand their operations across borders, the complexity of managing supply chains increases significantly, necessitating efficient strategies for inventory control, logistics, and service levels. The paper delves into the development and implementation of optimization models tailored to address the unique challenges faced by global supply chains. It discusses how these models can be utilized to minimize costs, enhance operational efficiency, and improve decision-making processes. The analysis includes case studies that illustrate the practical use of optimization techniques for various scenarios in international SCM, such as network design, transportation planning, and demand forecasting. Additionally, the paper examines the integration of emerging technologies like artificial intelligence and machine learning with optimization models to further refine SCM strategies. By providing a comprehensive overview of optimization approaches in global SCM, this paper aims to contribute to the literature on effective supply chain management practices.

Keywords: Optimization Models; Supply Chain Management; Global Markets; Inventory Control; Logistics Optimization.;
Copyright: © 2022 by Anderson. 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
Anderson, M. (2022). Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics, 4(1), 27. doi:10.69610/j.ors.20220314
ACS Style
Anderson, M. Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics, 2022, 4, 27. doi:10.69610/j.ors.20220314
AMA Style
Anderson M. Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics; 2022, 4(1):27. doi:10.69610/j.ors.20220314
Chicago/Turabian Style
Anderson, Michael 2022. "Optimization Models for Supply Chain Management in Global Markets" Operations Research and Statistics 4, no.1:27. doi:10.69610/j.ors.20220314

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ACS Style
Anderson, M. Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics, 2022, 4, 27. doi:10.69610/j.ors.20220314
AMA Style
Anderson M. Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics; 2022, 4(1):27. doi:10.69610/j.ors.20220314
Chicago/Turabian Style
Anderson, Michael 2022. "Optimization Models for Supply Chain Management in Global Markets" Operations Research and Statistics 4, no.1:27. doi:10.69610/j.ors.20220314
APA style
Anderson, M. (2022). Optimization Models for Supply Chain Management in Global Markets. Operations Research and Statistics, 4(1), 27. doi:10.69610/j.ors.20220314

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