Inventory management in sustainable closed-loop supply chains with continuous improvement

持续改进的可持续闭环供应链库存管理

• 批准号: RGPIN-2015-06635
• 负责人: Jaber, Mohamad
• 金额: $ 2.04万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636820
• 关键词: Inventory; management; sustainable; closed; loop

The proposed research program will benefit from the knowledge created in previous research projects and build on that acquired knowledge to develop mathematical models that are more representative of environmental issues in closed-loop supply chains (CLSC). It will also investigate how learning, captured by learning curves,  can improve the sustainability performance of such chains. Two approaches, classical and non-classical, will be used to study CLSCs. The classical approach focuses on minimizing the sum of (classical) costs of a CLSC with no consideration of environmental factors, while the non-classical approach draws a parallel between an inventory and logistics system and a thermodynamic system by using its laws to reduce the system’s entropy (disorder) and improve its sustainable performance.

拟议的研究计划将受益于先前研究项目中创造的知识，并以获得的知识为基础，开发更能代表闭环系统供应链(CLSC)环境问题的数学模型。它还将调查通过学习曲线捕获的学习如何提高此类链的可持续性能。两种方法，经典和非经典，将被用来研究CLSC。经典方法侧重于在不考虑环境因素的情况下最小化CLSC的(经典)成本之和，而非经典方法将库存和物流系统与热力学系统进行比较，利用其定律来减少系统的熵(无序)，提高系统的可持续性能。