Global optimization for nonlinear supply chain management under uncertainty

不确定性下非线性供应链管理的全局优化

• 批准号: 485798-2015
• 负责人: Li, Xiang
• 金额: $ 1.09万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=657511
• 关键词: Global; optimization; nonlinear; supply; chain

Supply chain optimization (SCO) is the optimal coordination of production, inventory, location, and transportation in the supply chain to achieve one or multiple goals for the whole system. The efficiency and quality of SCO decision-making procedure is crucial to the sustainability of a company, financially, economically, and socially. However, the sustainability considerations and the unavoidable uncertainties make SCO problems very difficult mathematical optimization problems that can not be well solved using classical formulation and solution approaches. ****This research is to utilize the recent advances in global optimization of uncertain nonlinear process systems, to develop more efficient and reliable solution strategies for SCO under uncertainty. It involves two projects. The first project is to enhance an existing decomposition-based global optimization method for strategic SCO problems that are mainly concerned with supply chain network design. The second project is to develop new formulations and global optimization methods for integrated strategic and tactical SCO problems, which optimize supply chain design and operational decisions simultaneously. The research will be conducted in collaboration with DuPont Canada. The results of the research cannot only benefit DuPont, but also other companies that want to achieve sustainable supply chain development and operation. The software packages developed in the research can be potentially commercialized, leading to new spin-off companies and more jobs for Canadians. One master's student and one Ph.D. student will be trained through the proposed research, and they will acquire knowledge and skills widely sought by Canada's industries.******

供应链优化（SCO）是指供应链中生产、库存、选址和运输的最优协调，以实现整个系统的一个或多个目标。上海合作组织决策程序的效率和质量对公司在财务、经济和社会方面的可持续性至关重要。然而，可持续发展的考虑和不可避免的不确定性，使上海合作组织问题非常困难的数学优化问题，不能很好地解决使用经典的制定和解决方案的方法。* 本研究旨在利用不确定非线性过程系统全局优化的最新进展，为不确定性条件下的SCO开发更有效、更可靠的求解策略。它涉及两个项目。第一个项目是加强现有的分解为基础的全球优化方法的战略上海合作组织的问题，主要是与供应链网络设计。第二个项目是为上海合作组织的综合战略和战术问题开发新的公式和全局优化方法，同时优化供应链设计和运营决策。该研究将与加拿大杜邦公司合作进行。研究成果不仅有利于杜邦公司，也有利于其他希望实现可持续供应链发展和运营的公司。研究中开发的软件包可能会商业化，从而产生新的分拆公司，为加拿大人提供更多的就业机会。一名硕士生和一名博士生。学生将通过拟议的研究进行培训，他们将获得加拿大工业广泛寻求的知识和技能。