Optimizing Supply Chain Efficiency Using Operational Research Techniques
Abstract
This article delves into the optimization of supply chains and explores what it takes to enhance operational efficiency and effectiveness. Because it enables the smooth transfer of resources, information, and commodities from suppliers to customers, supply chain management is essential for enterprises. Nonetheless, supply chains often face challenges such as product oversight, market fluctuations, shipping expenses, and collaboration among stakeholders. This article seeks to illustrate how various strategies and techniques—like inventory control, demand forecasting, transportation optimization, and customer relationship management—can enhance supply chain operations. These strategies empower businesses to enhance competitiveness, reduce expenses, boost customer satisfaction, and pursue sustainable growth. The research aims to provide a thorough overview of supply chain optimization strategies and their impact on organizational performance and efficiency. By putting these tactics into practice, businesses may improve customer happiness, cut expenses, streamline their supply chain operations, and gain a competitive edge in the market. It is vital for both practitioners and scholars to stay abreast of the latest trends and technologies in supply chain optimization to navigate the challenges and prospects in an increasingly complex and rapidly evolving business landscape.
References
Chopra, S., & Meindl, P. (2016). Supply chain management: Strategy, planning, and operation. Pearson.
Tang CS. Perspectives in supply chain risk management. International journal of production economics. 2006 Oct 1;103(2):451-88.
Narasimhan R, Talluri S. Perspectives on risk management in supply chains. Journal of operations management. 2009 Apr 1;27(2):114-8.
Lee HL, Whang S. Information sharing in a supply chain. International journal of manufacturing technology and management. 2000 Jan 1;1(1):79-93.
Croom SR. The impact of e‐business on supply chain management: An empirical study of key developments. International Journal of Operations & Production Management. 2005 Jan 1;25(1):55-73.
Frohlich MT, Westbrook R. Arcs of integration: an international study of supply chain strategies. Journal of operations management. 2001 Feb 1;19(2):185-200.
Ba BH, Prins C, Prodhon C. Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective. Renewable Energy. 2016 Mar 1;87:977-89.
Shang JS, Li S, Tadikamalla* P. Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization. International Journal of Production Research. 2004 Sep 15;42(18):3823-49.
Omrani H, Adabi F, Adabi N. Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach. Journal of the Operational Research Society. 2017 Jul 1;68(7):816-28.
Juhara S. Optimizing supply chain management: Strategies for enhancing efficiency and reducing costs in manufacturing industries. The Journal of Academic Science. 2024 Aug 20;1(1):37-44.
