Collaborative Research: SGER: Exploring Interrelationships Between Enterprise Product Planning and Engineering Product Development Using Multilevel Optimization
Collaborative Research: SGER: Exploring Interrelationships Between Enterprise Product Planning and Engineering Product Development Using Multilevel Optimization
批准号:
0503781
负责人:
Wei Chen
金额:
$4.68万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-03-01 至 2006-02-28
中文摘要
这一探索性研究合作小额赠款(SGER)的目标是探索企业产品规划和工程产品开发之间的相互关系,并使用包括考虑不确定性在内的多层次优化方法来形式化它们的协调过程。以前已经从工程的角度使用分布式多级数学优化方法成功地对构件的设计进行了建模,但在同一框架中将业务和工程学科联系起来是一个新兴领域。整合制造业驱动的考虑因素是一项高风险的工作,因为它需要复杂的模型,这些模型随所涉及的产品和工艺而变化很大。不确定性的处理(表示、量化和传播)将在这项研究中提出另一个挑战。拟议的项目是探索性的,但将对一系列行业和产品的复杂工程系统的设计产生深远影响。如果成功,这项拟议的研究将为复杂工程系统设计中的组织和计算挑战提供一种严格而实用的方法。将对市场与工程建模和决策之间的相互作用有一个更深层次、更基本的理解。这项研究将被整合到多个机构的课程中,共享教材、方法和范例,并在设计教育中试点新的教学方向。
英文摘要
The objective of this collaborative Small Grant for Exploratory Research (SGER) is to explore the interrelationships between enterprise product planning and engineering product development and to formalize their coordination process using a multilevel optimization approach, including consideration of uncertainty. Design of artifacts has been successfully modeled previously using distributed multilevel mathematical optimization methodologies from the engineering perspective, but linking the business and engineering disciplines in the same framework is an emerging area. Integrating manufacturing-driven considerations is a high risk endeavor, since it requires sophisticated models that vary dramatically with the product and processes involved. Treatment of uncertainty (representation, quantification, and propagation) will pose an additional challenge in this research. The proposed project is exploratory but will have a profound impact on the design of complex engineering systems across a range of industries and products. If successful, the proposed research will offer a rigorous but practical approach to the organizational and computational challenges in complex engineering system design. A deeper, fundamental understanding of the interaction between market and engineering modeling and decision making will be gained. The research will be integrated into courses at multiple institutions, sharing teaching materials, methods, and exemplars, and piloting new teaching directions in design education.
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