Truck Scheduling for Cross-Docking of Fresh Produce with Repeated Loading

Due to mismanagement of supply chain operations, fresh produce, which deteriorates highly depending on time and operating environment (including temperature humidity), will suffer huge losses in transit, resulting substantial monetary losses. Cross-docking, as an efficient logistics operation strategy, has been widely used produce distribution the cold chain, whereas it not received adequate attention scientific literature. In order improve efficiency distribution, this study formulates a novel mixed-integer mathematical formulation model that allows repeated loading outbound trucks minimize total deterioration (TD) all cross-docking center. To solve problem, advanced genetic algorithm is proposed based constructional mixed chromosome with two parts three levels. The numerical analyses are conducted 10 typical instances under different combinations parameters. Results show our mode can effectively decrease compared traditional nonrepeated mode. And superiority becomes more significant, value truck changeover lot quantity (called size text) decrease. particular, when equals 0, obtained be than 31.8% average smaller