Supply chain optimization in the modern world

现代世界的供应链优化

基本信息

批准号：
RGPIN-2020-05918
负责人：
Darvish, Maryam
金额：
$ 1.89万
依托单位：
Université Laval
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2022
资助国家：
加拿大
起止时间：
2022-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765330
关键词：
Supply chain optimization modern world

项目摘要

Technological changes are transforming supply chains dramatically and rapidly; at the same time, the industry faces volatility and new challenges. This research program aims to provide insights for both new research agenda and increased business performance. The plan in this research framework is to make scientific contributions to the field of operations research by developing models and solution algorithms for the problems arising in real-world applications. Integrated, collaborative, synchronized supply chain problems are already known to be very difficult to solve. Making these problems more realistic and practical will indeed lead to more complexity in terms of the execution time and solution quality. Therefore, in this research framework, problems will be solved using and developing solution algorithms appropriate for these rich applied logistics problems. From the scientific point of view, this research framework contributes to the logistics and supply chain literature by introducing and development of innovative models, methods, tools, and techniques to optimize and plan conflicting decisions of complex modern supply chains. From a practical point of view, it aims to contribute to the training of highly qualified personnel; moreover, the results of this research proposal help improve the efficiency and responsiveness of the Canadian supply chains and companies.

技术变化正在急剧和迅速地改变供应链。同时，该行业面临着波动和新的挑战。该研究计划旨在为新的研究议程和提高业务绩效提供见解。该研究框架的计划是通过开发模型和解决方案算法来为现实世界应用中引起的问题开发模型和解决方案算法，从而为运营研究领域做出科学贡献。众所周知，综合，协作，同步供应链问题已经很难解决。使这些问题更现实和实用，确实会导致执行时间和解决方案质量更加复杂。因此，在此研究框架中，将使用适合这些丰富应用物流问题的解决方案算法解决和开发解决方案算法解决问题。从科学的角度来看，该研究框架通过引入和开发创新模型，方法，工具和技术来优化和计划复杂的现代供应链的矛盾决策，从而为物流和供应链文献做出了贡献。从实际的角度来看，它的目的是为培训高素质的人员做出贡献；此外，该研究建议的结果有助于提高加拿大供应链和公司的效率和响应能力。