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How is Linear Programming used to optimize supply chain and logistics in Industrial Engineering?

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Linear Programming (LP) is used in industrial engineering to model complicated decision-making problems, like balancing supply and demand across numerous sites, increasing manufacturing efficiency, or minimizing transportation costs, in order to optimize supply chain and logistics. By establishing limitations and goals, such as capacity limits, output targets, and delivery dates, LP assists in identifying the best use of resources (such as labor, materials, and transportation routes). Industries can improve supply chain performance, cut expenses, and streamline operations by resolving these LP models. This improves resource usage and logistics planning.

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