【作者】 武保同； 陈志祥；

【Author】 Wu Baotong;Chen Zhixiang;School of management, Sun Yat-sen University;

【机构】 中山大学管理学院；

【摘要】 在市场竞争环境的变化中,为快速响应市场和顾客需求的变化,企业需要提高供应链整体运作的协同性和集成性。近几年,生产和运输路径联合优化(简称生产-路径优化)受到了学术界和工业界的广泛关注。同时,随着绿色可持续发展战略的应用,生产-路径优化中考虑环境因素也成为学术研究的热点。在此背景下,本文构建了一种考虑碳排放、能源消耗、时间窗和异质性车辆的多目标绿色生产-路径模型。该模型旨在最小化总生产,总运输和总清洁成本以平衡企业效益和可持续发展。论文设计一种基于强化学习的多目标算法。案例测试结果和灵敏度分析验证了模型和算法的有效性。模型的相关结果表明:其一,在不同时间阶段下引入适当的生产设备或工人数量将有效地降低生产和清洁成本。其二,采用合适容量的配送车辆将显著降低清洁成本并满足客户的时间窗需求。其三,政府制定合理的碳税价格和相关补贴,企业采用清洁的生产设备和配送设备将有助于实现供应链的可持续发展。更多还原

【Abstract】 With the changes in the competitive market environment, in order to respond quickly to changes in the market and customer demand, enterprises need to improve the collaboration and integration of the supply chain. In recent years, production-routing optimization has received extensive attention from both academia and industry. Meanwhile, with the application of green sustainable development strategies, the environmental factors have also received extensive attention This paper constructs a multi-objective green production-routing model that considers carbon emissions, energy consumption, time windows and heterogeneous vehicles. The model aims to minimize the total production cost, transport cost and cleaning cost to balance the business benefits and sustainable development. The paper designs a multi-objective algorithm based on reinforcement learning. Case test results and sensitivity analysis validate the effectiveness of the model and algorithm. The relevant conclusions of the model suggest that, firstly, the appropriate number of production equipment or workers introduced under different time phases will effectively reduce production and cleaning costs. Secondly, the employment of appropriate capacity delivery vehicles will significantly reduce cleaning costs and meet customer time window demands. Thirdly, the establishment of a reasonable carbon tax price and related subsidies by the government, and the adoption of cleaner production and distribution equipment by enterprises will help to achieve sustainable development of the supply chain.更多还原