What question did this study set out to answer?

To minimize variable costs in production and transportation planning while meeting customer demand.

Integrated production–distribution planning using a MILP optimization model and CPLEX solver

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To minimize variable costs in production and transportation planning while meeting customer demand.
Developed a mixed-integer linear programming (MILP) optimization model
Utilized IBM ILOG CPLEX solver for problem-solving
Considered a supply chain with one factory, two warehouses, and one customer
Integrated multiple logistical parameters such as pallet sizes and vehicle availability
Achieved reduced overall costs by effectively managing transportation capacity
Showed that backlog management significantly impacts service levels
Demonstrated efficient warehouse utilization and minimal overtime production

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Optimized transportation planning improves service levels in supply chain management, indicating its critical role.

Machkour et al. (2026) studied this question.

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