报告人：吴勇（澳大利亚格里菲斯大学）

报告时间：2024年4月22日下午14：00-16:00

报告地点：劝学楼220（腾讯会议：953-3947-3789）

主办单位：公共管理学院

【报告摘要】

Perturbations are universal in supply chains, and their appearance has become more frequent in the past few years due to global events. These perturbations affect industries and could significantly impact production, quality, cost/profitability, and consumer satisfaction. In large-scale contexts, companies rely on mathematical optimization. In such cases, re-optimization can support companies in achieving resilience by enabling them to simulate several what-if scenarios and adapt to changing circumstances and challenges in real-time. In this paper, we design a generic and scalable resilience re-optimization framework. We model perturbations, recovery decisions, and the resulting re-optimization problem, which maximizes resilience. We leverage the primal information through fixing, warm-start, valid inequalities, and machine learning. Findings from computational experiments on a real-world, large-scale problem highlight that local optimization is enough to recover after perturbations and demonstrate the power of our proposed framework and solution methodology。

【报告人简介】

吴勇副教授现工作于澳大利亚格里菲斯大学（Griffith University）商学院（Griffith Business School）商业策略与创新系（Department of Business Strategy and Innovation）。吴勇博士毕业于新加坡南洋理工大学，硕士毕业于南京航空航天大学。在加入格里菲斯大学之前曾先后工作于新加坡国立大学和澳大利亚维多利亚大学。吴勇博士现在是英国高等教育学会高级会士（SFHEA），美国运筹学管理学协会高级会员（Senior Member of INFORMS）。在工作期间，吴勇领导和参与了多项研究与咨询项目。项目客户包括新加坡经济发展局，新加坡港务局，澳大利亚维多利亚州交通部，澳大利亚昆士兰州交通部，及多个商业咨询客户。吴勇博士的研究方向主要为物流与供应链管理，运筹学以及供应链建模与仿真，研究成果已发表于Transportation Science, European Journal of Operational Research, International Journal of Production Economics, Computers and Operations Research, International Journal of Production Research, Journal of Cleaner Production, International Journal of Logistics Management等国际期刊。