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
这一合作的探索性研究(SGER)的目的是探索企业产品规划和工程产品开发之间的相互关系,并使用多层次的优化方法,包括考虑不确定性,以正式确定其协调过程。 工件的设计已经成功地建模以前使用分布式多级数学优化方法从工程的角度来看,但在同一个框架中的业务和工程学科的链接是一个新兴的领域。集成制造驱动的考虑因素是一项高风险的奋进,因为它需要复杂的模型,这些模型随着所涉及的产品和过程而发生显着变化。不确定性的处理(表示,量化和传播)将在这项研究中提出额外的挑战。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的影响。 如果成功,拟议的研究将提供一个严格的,但实际的方法,在复杂的工程系统设计的组织和计算的挑战。对市场和工程建模和决策之间的相互作用有更深入的基本理解。 该研究将被整合到多个机构的课程中,分享教学材料,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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