CAREER: New Scheduling Models for Supply Chain Restoration, Construction, and Redesign

这个学院早期职业发展（Career）奖的研究目标是研究在重大破坏性事件后恢复供应链问题的创新优化模型和算法，构建供应链以支持人道主义救援工作，以及将供应链过渡到下一代重新设计。这些应用领域的共同点是，供应链是可操作的，因为要实现改变其设计的努力。因此，优化模型将侧重于调度供应链何时以及如何随时间变化。特别是，有限的资源将被分配到执行改变供应链组成部分特征的任务。该项目的优化模型和算法特别识别了应用领域的时间方面，并且在调度领域具有创新性，因为它们关注供应链中已完成任务的交互。该奖项的教育计划将尝试教学方法，帮助工程专业学生根据自己的兴趣和预期的职业道路定制学习经历。如果成功，这项研究的结果将提供工具，使公司和组织能够提出和分析评估他们的恢复、建设和重新设计工作的策略。这将有助于减少极端事件对经济和社会的影响，因为供应链恢复和建设的决策者将能够对现有战略和应对事件的政策转变的影响进行基准测试。这些工具将进一步帮助企业了解如何将先进的制造能力（包括节能组件）整合到现有的供应链中。该教育计划将促进本科研究和开发新方法，以更好地为学生在其预期的职业道路中应用优化模型做好准备。这些教育活动将有助于促进工业工程专业学生未来选择的多样性。

The research objective of this Faculty Early Career Development (CAREER) award is to investigate innovative optimization models and algorithms for problems in restoring supply chains after significant disruptive events, constructing supply chains to support humanitarian relief efforts, and transitioning supply chains to their next-generation redesign. These application areas have in common that the supply chain is operational as efforts are implemented to change its design. Therefore, the optimization models will focus on scheduling when and how the supply chain will change over time. In particular, limited resources will be allocated to perform tasks that change the characteristics of the components of the supply chain. The project's optimization models and algorithms specifically recognize the temporal aspects of the application areas and are innovative in the area of scheduling, since they focus on the interactions of the completed tasks within the supply chain. The educational program of this award will experiment with teaching methods that help to customize the learning experiences of engineering students based on their own interests and projected career paths. If successful, the results of this research will provide tools that enable companies and organizations to propose and analytically assess strategies for their restoration, construction, and redesign efforts. This will help lessen the economical and societal impact of extreme events, since decision-makers in supply chain restoration and construction will be able to benchmark existing strategies and the impact of policy shifts in responding to the event. These tools will further help companies to understand how to integrate advanced manufacturing capabilities, including energy-efficient components, into their existing supply chains. The educational program will promote undergraduate research and develop new methods to better prepare students to apply optimization models in their projected career paths. These educational activities will help to promote the diversity of future options available to industrial engineering students.