目的 通过分析当前开放式托盘循环共用系统的发展现状及存在的问题,构建开放式托盘循环共用系统调运模型,旨在寻找科学合理的调运方案,降低调运成本。方法 针对当前研究缺口与现实需求,深入研究供需不确定条件下的开放式托盘循环共用系统调运优化问题,以最小化调运总成本与最大化客户满意度为目标,构建一个随机机会约束规划模型,并利用Gurobi求解器进行模型的可行性验证与算例求解。结果 在考虑供需不确定性的情境下,本文所构建的随机优化模型能有效降低系统总调运成本。结论 为企业在开放式托盘循环共用系统中应对供需不确定性、制定更经济高效的调运决策提供了坚实的理论支撑和实用的解决方案。
Abstract
By analyzing the current development status and existing issues of the open-loop shared pallet system, the work aims to construct a transportation model for the system, to identify a scientific and reasonable transportation plan and reduce transportation costs. Aiming at the current research gap and practical demands, an in-depth investigation was conducted into the transportation optimization of open-loop shared pallet systems under supply-demand uncertainty. With the objectives of minimizing total transportation costs and maximizing customer satisfaction, a stochastic chance-constrained programming model was constructed. The feasibility of the model was verified, and numerical examples were solved with the Gurobi solver. The findings revealed that under the supply-demand uncertainty, the proposed stochastic optimization model effectively reduced the system's total transportation costs. This provides robust theoretical support and practical solutions for enterprises to address supply-demand uncertainties and formulate more economically efficient transportation decisions within open-loop shared pallet systems.
关键词
开放式托盘循环共用系统 /
托盘调运 /
不确定供给需求 /
随机机会约束
Key words
open-loop shared pallet system /
pallet transportation /
uncertain supply and demand /
random opportunity constraint
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基金
陕西省重点研发计划（2024GX-YBXM-530）; 长安大学中央高校基本科研业务费专项资金资助（300102225502）
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