Integrated Optimization of Multi-Period Scheduling and Cross-Docking Delivery for Automotive Reusable Transport Packaging

Addressing the gaps in existing research on multi-period inventory scheduling and coordinated distribution optimization for reusable transport packaging, this study develops a comprehensive model for automotive reusable transport packaging scheduling and cross-docking distribution coordination. The model is grounded in a sharing and leasing system that includes suppliers, component suppliers, and the main manufacturing facility, with the primary objective of minimizing the overall operational costs. To tackle this challenge, an improved adaptive large neighborhood search algorithm has been engineered to efficiently find solutions. The efficacy of both the model and the algorithm is substantiated through a series of case studies that span varying scales. The research proceeds to a comparative analysis of three distinct operational modes: the coordinated optimization of scheduling and cross-docking distribution, the independent optimization of scheduling and distribution, and the direct distribution following circular pick-up. Furthermore, a sensitivity analysis is conducted to examine how different economic parameters influence the decision-making processes within these operational modes, offering valuable managerial insights into the coordinated decision-making for multi-period scheduling and vehicle dispatch for the reusable transport packaging sector. The outcomes of this research are instrumental in enhancing the efficiency and agility of the reusable transport packaging sharing and leasing system, thereby fostering advancements towards green and sustainable operational practices.