GOALI: Exploring Product and Process Tradeoff in Engine Design

这笔赠款为与Allison Engine Company合作开发和实施正式的数学构造，以模拟涡轮发动机设计中的权衡问题提供资金。这些发展将侧重于测量和调查发动机效率和设计发动机所需工艺效率之间的关系。开发将基于博弈论原理，其中各种设计和生产团队都是游戏中的参与者。通过对这些团队、他们的决策和他们的功能子系统之间的关系进行建模，可以找到不同的引擎配置，并调查权衡方案，以便满足各个设计团队和整个公司的战略目标。博弈论、非线性优化、稳健设计和基于决策的设计的概念将被整合，以建模和描述公司现有的产品和流程，然后规定在产品设计和/或流程沟通和协作方面的潜在改进。如果成功，这项研究将提供战略性地确定不同组织之间的通信和接口协议的能力，从而导致更有效的涡轮发动机以及更高效的设计和生产流程。这项研究将为基于计算机的决策支持工具提供基础，以快速探索新涡轮发动机设计中的权衡方案。公司必须与世界各地的许多不同组织进行沟通和协作。为制定和协调许多决策提供基础将使公司能够更有效地执行其设计/制造活动。为组织合作提供数学基础可以提高发动机设计的效率。

This grant provides funding for the development and implementation of formal mathematical constructs to model tradeoff issues in the design of turbine engines in a collaborative effort with Allison Engine Company. These developments will focus on measuring and investigating the relationship between the effectiveness of an engine and the efficiency of the processes required to design an engine. The developments will be based on game theoretical principles where the various design and production teams are players in the game. By modeling the relationships among these teams, their decisions, and their functional subsystems, various engine configurations can be found and tradeoff scenarios can be investigated in order to meet the strategic objectives of the individual design groups and the company as a whole. Notions from game theory, nonlinear optimization, robust design, and decision-based design will be integrated to model and describe existing products and processes at the company and then to prescribe potential improvements in product design and/or process communication and collaboration. If successful, the research will lead to more effective turbine engines and more efficient design and production processes by providing the capability to strategically determine the communication and interface protocols among various groups. The research will provide the foundation for computer-based decision support tools to rapidly explore tradeoff scenarios in the design of new turbine engines. Companies must communicate and collaborate with many different organizations located throughout the world. Providing the foundations for making and coordinating a number of decisions would allow a company to perform their design/make activities more efficiently. Providing the mathematical foundations for organizational cooperation could increase the efficacy of engine designs.