GOALI: Cooperation-based Optimization of the Industrial Gas Supply Chain

GOALI：以合作为基础的工业气体供应链优化

• 批准号: 0931835
• 负责人: Christos Maravelias
• 金额: $ 42.18万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0931835&HistoricalAwards=false
• 关键词: GOALI; Cooperation; based; Optimization; Industrial

0931835MaraveliasTo remain healthy in today's competitive environment, chemical companies must operate their supply chain (SC) efficiently by simultaneously optimizing multiple levels of operation. This is a challenging task because supply chains are highly dynamic and interconnected networks, often comprised of different decision makers. Thus, centralized approaches cannot be implemented in practice, while existing decentralized methods yield suboptimal solutions and are insufficient to meet industrial needs. Accordingly, the goal of this project is to develop a cooperation-based framework for supply chain (SC) operation planning that considers local decision-making but at the same time accounts for the interactions between the nodes of the SC. While initial efforts will focus on the industrial gas supply chain, this framework should effectively address operational planning problems in a wide range of manufacturing supply chains.Intellectual merit: The intellectual merit of this project lies in the discovery, development, and analysis of methods for optimizing large, coupled, networked supply chains using a cooperative distributed framework. In developing this framework the PIs will focus on addressing the following three challenges:1. Formulate local (node) models as well as models for the entire supply chain that accurately describe the dynamics of and interconnections among nodes of practical supply chains.2. Develop novel cooperation-based methods for improved decision-making in distributed dynamic supply chains.3. Assess these methods using real-world data and develop strategies for successful implementation of the methods.In addressing these challenges, the PIs will combine existing as well as develop new results in the areas of optimization, control theory and game theory. The integration of these results will lead to a novel framework for distributed decision-making that has the potential to transform future supply chains.Broader Impact: First, the proposed research will improve the efficiency of the industrial gas supply chain, as well as supply chains in other manufacturing sectors, thus increasing the competitiveness of American companies. Second, it has the potential to lead to reductions in a) the overall energy usage in energy intensive sectors such as industrial gases and steel manufacturing, and b) in greenhouse gas emissions. Third, the cooperation-based framework will integrate concepts from optimization, control theory and game theory, thus advancing the state of the art in the area of distributed decision-making. Fourth, the results of this research will be used to develop educational material and will be disseminated through GNU Octave, a freely available dissemination language developed by the group of one of the PIs.Finally, the research can be transformative because it will quantify the impact of optimizing the overall supply chain by developing tools to facilitate such an analysis and developing methods to show how companies, each with their own financial objectives, can best share the benefit of such collaboration. Such work is needed to transform the operation of energy intensive industries.

0931835 Maraveliasto在当今的竞争环境中保持健康，化学公司必须通过同时优化多个级别的运营来有效地运营其供应链（SC）。这是一项艰巨的任务，因为供应链是高度动态和相互联系的网络，通常由不同的决策者组成。因此，在实践中不能实施集中的方法，而现有的分散方法产生了次优的解决方案，并且不足以满足工业需求。因此，该项目的目标是开发一个基于合作的供应链（SC）操作计划的框架，该框架考虑了本地决策，但同时又是SC的节点之间的相互作用。虽然最初的努力将集中在工业气体供应链上，但该框架应有效地解决各种制造供应链中的运营计划问题。智能优点：该项目的知识分子优点在于发现，开发和分析的方法和分析使用合作分布式框架优化大型，耦合，网络供应链。在开发此框架时，PI将集中于解决以下三个挑战：1。制定局部（节点）模型以及整个供应链的模型，这些模型准确地描述了实用供应链节点之间的动态和互连2。开发基于新型合作的方法，以改善分布式动态供应链中的决策。3。使用现实世界数据评估这些方法，并制定成功实施该方法的策略。在解决这些挑战时，PI将结合现有的现有结果，并在优化，控制理论和游戏理论领域中开发新的结果。这些结果的整合将导致一个新颖的分布式决策框架，该框架有可能改变未来的供应链。Boader的影响：首先，拟议的研究将提高工业气体供应链的效率，以及供应链在其他制造业中，从而提高了美国公司的竞争力。其次，它有可能导致减少a）能源密集型部门（例如工业气体和钢制造）的总能源使用，而b）在温室气体排放中。第三，基于合作的框架将从优化，控制理论和游戏理论中整合概念，从而推进分布式决策领域的艺术状态。第四，这项研究的结果将用于开发教育材料，并将通过GNU Octave进行传播，GNU Octave是由PIS的组开发的一种免费的传播语言。从本文中，这项研究可以进行变革，因为它将量化影响的影响。通过开发工具来优化整体供应链，以促进这种分析和开发方法，以展示各自拥有自己的财务目标的公司如何最好地分享这种合作的好处。需要这样的工作来改变能源密集型行业的运作。