Deploy a real-world case study of an international organization and apply quantitative techniques in solving a transport and logistics problem. Describe the problem the data collected the mathematical model used, and the results obtained. highlight the key insights and benefits gained from using quantitative techniques. Present different optimization techniques used in modeling the international transport and logistics problem (linear programming, network optimization). Explain how these techniques can be applied to optimize various aspects such as route planning, inventory management, and capacity allocation. explain how the implementation of these techniques and the case study outcomes support better management decision-making.
Deploy a real-world case study of an international organization and apply quantitative techniques in solving a transport and logistics problem.
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