Nowadays, optimization on logistics and supply chain systems is a crucial and critical issue in industrial and systems engineering. Important areas of logistics and supply chain systems include transportation control, inventory management, and facility location planning. Under a competitive market environment, decision making for all these critical areas requires more sophisticated mathematical modeling and analysis. Since finding the optimal solution of MCVRP is computationally expensive, they design a few guiding rules, which employ the searching history, to enhance the searching. They conduct numerical analysis and reveal that their proposed method significantly outperforms the classical method. They conduct their analysis from the manufacturer?s perspective. Technically, they convert the proposed FDEA model into a crisp linear programming optimization problem. As a result, the problem is formulated as an interval programming problem.
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