CAREER: A Multi-layer Dynamic Network Control for Agile, Optimized, and Sustainable Supply Chains

事业：敏捷、优化和可持续供应链的多层动态网络控制

• 批准号: 2238269
• 负责人: Shuo Wang
• 金额: $ 50.3万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2028-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238269&HistoricalAwards=false
• 关键词: CAREER; Multi; layer; Dynamic; Network

This Faculty Early Career Development (CAREER) project will support an integrated research, education, and outreach program in supply chain network (SCN) management. The main aim is to broaden the focus of SCN management from economic efficiency to accuracy, agility, and sustainability through dynamic network modeling and data-driven decision-making methods. The current supply chain analysis tool, relying on static optimization, is insensitive to non-eligible changes such as policy changes that may cause economic turmoil. By bridging supply chain management with the optimal network control concepts, this work will interpret the processes of producing and distributing goods of an established SCN in the dynamic form to capture the non-negligible changes more rapidly and maximize the utility. In addition to ushering in the concept of dynamic modeling for agile reaction to changes and effective decision-making on network management, this work will further discuss supply chains involving recycling processes through a multi-layer network model. The broad applicability of this work will provide expert guidance to local industries for improving SCN efficiency, profit, or recycling and will further promote awareness of the current waste issues and facilitate the local community's engagement toward green manufacturing and sustainability. In addition, in the long run, this project will deliver reliable solutions for many other SCNs that are crucial for the economic developments of many companies in related fields. This study will also adopt dynamic planning concepts for decision-making related to STEM student recruitment, retention, and training, which will facilitate engineering education reform from experience-based management to data-driven strategic planning. The research will address problems related to the current poor management of SCNs that heavily rely on the power of computational devices by modeling supply chains as dynamic systems that capture the non-eligible changes and transforming SCN management from static optimization to model-based dynamic control. This model enables quantitative analysis of optimal strategies such as daily production and optimal distribution route, where a parallel computing scheme will be developed for computational efficiency. A demonstration metric on the feasibility and applicability of the proposed work, based on dynamic modeling, will be introduced for evaluation, which sets the foundation for the exploration of other complex dynamic networks. Furthermore, a multi-layer network will be adopted to improve the efficiency of SCNs, which will result in discussions on applications involving recycling processes for sustainability management.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个教师早期职业发展（职业）项目将支持供应链网络（SCN）管理中的综合研究，教育和外展计划。主要目的是通过动态网络建模和数据驱动的决策方法将SCN管理的重点从经济效率范围扩大到准确性，敏捷性和可持续性。依靠静态优化的当前供应链分析工具对不合格的变化不敏感，例如可能导致经济动荡的政策变化。通过将供应链管理与最佳网络控制概念相结合，这项工作将解释以动态形式生产和分发已建立SCN的商品的过程，以更快地捕获不可忽视的变化，并最大程度地提高实用程序。除了将动态建模的概念引入敏捷对变化的反应和对网络管理的有效决策的概念外，这项工作还将进一步讨论涉及通过多层网络模型回收过程的供应链。这项工作的广泛适用性将为当地行业提供改善SCN效率，利润或回收利用的专家指导，并将进一步提高人们对当前废物问题的认识，并促进当地社区对绿色制造和可持续性的参与。此外，从长远来看，该项目将为许多其他SCN提供可靠的解决方案，这些SCN对于相​​关领域的许多公司的经济发展至关重要。这项研究还将采用动态的计划概念，以进行与STEM学生招聘，保留和培训有关的决策，这将促进从基于经验的管理到数据驱动的战略计划的工程教育改革。这项研究将解决与当前对SCN的管理不佳管理有关的问题，这些问题通过将供应链建模为动态系统，这些系统严重依赖计算设备的功能，这些系统捕获了不合格的变化，并将SCN管理从静态优化转变为基于模型的动态控制。该模型可以对最佳策略（例如每日生产和最佳分布途径）进行定量分析，在该策略中，将开发出平行计算方案以提高计算效率。将引入有关基于动态建模的拟议工作的可行性和适用性的演示指标，以进行评估，这为探索其他复杂动态网络的探索奠定了基础。此外，将采用一个多层网络来提高SCN的效率，这将导致讨论涉及可持续性管理的回收流程的应用程序。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查审查标准来通过评估来获得支持的。