GOALI/Collaborative Research: Cost-Effective Energy Efficiency Management of Sustainable Manufacturing Systems

GOALI/合作研究：可持续制造系统的经济有效的能源效率管理

• 批准号: 1131537
• 负责人: Lin Li
• 金额: $ 21.2万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1131537&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Cost; Effective

The research objective of this award is to establish a systems view of energy efficiency in manufacturing systems, and to design a real-time control for a cost-effective and energy-efficient sustainable manufacturing system. Conventionally, improving productivity has been the primary research focus in the literature on manufacturing systems, and little attention has been paid to the systematic study of the complex issue of simultaneously reducing energy consumption and minimizing production cost. This research utilizes the opportunity offered by modern smart production equipment with multiple-energy consumption states/modes (instead of just on and off) to reduce energy consumption. The objective is to dynamically control each machine to achieve system optimality and maintain production goal. A semi-Markov decision process framework for the modeling and optimization of production processes is proposed that minimizes the energy consumption and overall system cost. Approximation methods will be developed to find near-optimal operational solutions. This project includes the formulation and systematic study of an extremely important problem that is faced by the U.S. industry today, and the development of a framework for dynamically determining the production policy that minimizes energy consumption and overall system cost. If successful, this research will result in a deeper understanding of the optimal operational structure of manufacturing system in the green world today, and eventually will lead to economical and environmental impact. This project will closely integrate with the training of graduate as well as undergraduate students, especially female and underrepresented minority students. The ideas and results will be broadly disseminated through classroom teachings, conference presentations, and journal publications. The transformative impact shall come from our close collaboration with industrial partners, student summer interns, and the implementation of the research findings.

该奖项的研究目标是建立制造系统中能源效率的系统视图，并为具有成本效益和节能的可持续制造系统设计实时控制。传统上，提高生产效率一直是制造系统研究的主要焦点，而对同时降低能耗和最小化生产成本这一复杂问题的系统研究却很少受到关注。本研究利用现代智能生产设备提供的多种能源消耗状态/模式（而不仅仅是开和关）的机会来减少能源消耗。目标是动态控制每台机器，以达到系统的最优性，并保持生产目标。提出了一种用于生产过程建模和优化的半马尔可夫决策过程框架，使能耗和系统总成本最小化。将发展近似方法来寻找接近最优的操作解。该项目包括制定和系统研究当今美国工业面临的一个极其重要的问题，并制定一个框架，动态确定生产政策，最大限度地减少能源消耗和整体系统成本。如果研究成功，将有助于我们更深入地了解当今绿色世界中制造系统的最优运行结构，并最终产生经济和环境影响。该项目将与研究生和本科生的培训紧密结合，特别是女性和少数民族学生。这些想法和结果将通过课堂教学、会议报告和期刊出版物广泛传播。变革性的影响将来自我们与行业合作伙伴的密切合作，学生暑期实习生，以及研究成果的实施。