Mathematical Approaches to Optimizing Supply Chain Management
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Abstract
Supply chain management (SCM) is a critical component of modern business operations, encompassing the planning, coordination, and control of goods, information, and finances as they move from suppliers to consumers. Mathematical approaches play a pivotal role in optimizing supply chain processes, enhancing efficiency, reducing costs, and improving overall performance. a comprehensive review of the key mathematical techniques used in supply chain optimization, including linear programming, integer programming, network optimization, and simulation models. We begin by exploring linear programming and its applications in optimizing transportation and distribution networks, highlighting methods for minimizing costs while meeting demand constraints. Integer programming is examined for its effectiveness in solving complex problems involving discrete variables, such as facility location and inventory management. Network optimization techniques are discussed in the context of designing efficient supply chain networks and improving logistics operations.
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