Modeling and Optimization of Sustainable Reverse Logistics Enterprise

可持续逆向物流企业建模与优化

• 批准号: RGPIN-2020-05499
• 负责人: AbdulKader, Walid
• 金额: $ 1.89万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=740620
• 关键词: Modeling; Optimization; Sustainable; Reverse; Logistics

Reverse logistics (RL) is the process of collection, inspection, sorting and disposition of returned and/or used products from the consumer to a retailer or manufacturer. The importance of product recovery and disposition in reverse logistics is steadily growing since the past few decades (in 2016, in USA alone, RL costs have been $902 billion, see https://www.hollingsworthllc.com/guide-reverse-logistics/). Reverse logistics is seen as a vital contributor to sustainability, which can be defined as the ability to "meet the needs of the present generation without compromising the ability of future generations to meet their own needs." There are three main reasons for a manufacturer to collect used products for reuse or recycle: (i) the product take-back laws imposed by government or environmental organizations, like the waste electrical and electronic equipment (WEEE) directive on the original equipment manufacturers (OEM). Under this directive, OEM take responsibility to collect their used products and keep the environment clean; (ii) the profit that can be generated by reusing or recovering material; and (iii) the importance of falling under the banner of an environmentally conscious company. These motives encompass the necessity for a company to include RL activities in its profile to seize the ecological, economic and social benefits from reusing or recycling a used product. Manufactures may reap benefits of RL only if correct disposition options are made and the return of products is done effectively. The factors that cause complexity in carrying out a RL program include: variability of the time, the quantity, and the quality of returned products. While manufacturing systems have reached a high level of efficiency and effectiveness, RL activities or remanufacturing systems are still far behind. This is due to an array of reasons including: lack of well-established performance measurement models, distinctive forecasting models and frameworks, and adoption of new or emerging technologies. This research program aims at understanding and addressing RL intricacies by employing more comprehensive modeling techniques and approaches. Agent-based simulation and modeling techniques, meta-heuristics methods, stochastic operations research, and other techniques and technologies such as digital twin will be used. It also advocates for more collaboration among remanufacturers and between remanufacturers and academics to improve efficiency and effectiveness of RL design and operation. To recapitulate, the proposed research program aims at supporting sustainability and maximizing reverse logistics enterprise profitability. This in turn shall enhance the social, "green," or "eco" image of the manufacturers.

反向物流（RL）是从消费者到零售商或制造商的收集，检查，分类和处置的过程。自从过去几十年以来（仅在美国，RL成本为9002亿美元，请参见https://www.hollingsworthllc.com/guide-reverse-logistics/）。反向物流被视为可持续性的重要贡献，可以将其定义为“在不损害子孙后代满足自己需求的能力的情况下满足当代需求的能力”。 制造商收集二手产品以重复使用或回收的主要原因：（i）政府或环保组织施加的产品收款法，例如原始设备制造商（OEM）的废物电气和电子设备（WEEE）指令（WEEE）指令。在此指令下，OEM负责收集二手产品并保持环境清洁； （ii）可以通过重复或恢复材料产生的利润； （iii）落在环保公司的旗帜下的重要性。这些动机涵盖了公司在其个人资料中包括RL活动的必要性，以通过重复或回收二手产品来抓住生态，经济和社会收益。 只有在制定正确的处置选项并有效地完成产品的返回时，制造商才能获得RL的好处。执行RL程序的复杂性的因素包括：时间的变异性，数量和返回产品的质量。尽管制造系统已经达到了高效率和有效性，但RL活动或再制造系统仍然远远落后。这是由于一系列原因，包括：缺乏完善的性能测量模型，独特的预测模型和框架以及采用新技术或新兴技术。 该研究计划旨在通过采用更全面的建模技术和方法来理解和解决RL复杂性。将使用基于代理的仿真和建模技术，元高 - 高脑力学方法，随机操作研究以及其他技术和技术（例如数字双胞胎）。它还提倡再制造商之间以及再制造商和学者之间的更多合作，以提高RL设计和运营的效率和有效性。为了概括，拟议的研究计划旨在支持可持续性和最大化后物流企业的盈利能力。反过来，这将增强制造商的社交，“绿色”或“ Eco”形象。