GOALI/Collaborative Research: Module-Centric Approach to Integrated Adaptation of Assembly Products and Supply Chains

这项学术与工业联络奖（GOALI）的研究目标是为并行产品装配模块设计和供应商选择开发新的建模方法。这种方法将支持快速和有效地适应产品组装模块，以提高产品的多样性，并允许识别产品模块重新配置和供应链绩效之间的关键相互关系。本研究的方法是发展三种方法并加以整合：(1)基于图论的包含产品和供应链信息的装配表示方法；(2)基于分层多层装配分解的子装配生成方法；(3)基于多目标计算方法的子装配模块与供应商的供应链效率链接数学模型。参与的大学和业界伙伴将联合进行个案研究，以验证上述方法。本研究的成果包括数学模型、启发式算法、教育和技术转移的软件和材料。该研究项目的成功将把装配分解和供应链设计从脱节的过程转变为一个集成的决策过程，为制造企业及其所有价值流伙伴提供一个更全面的视角。图论装配表示和分解方法将为更有效地建模和规划装配产品提供创新的方法，提高并行工程的水平。这些增强的建模能力和决策制定工具将有助于减少设计部门和供应商之间不必要的冗长迭代，并通过帮助以更低的成本将产品快速推向市场来提高美国制造业的竞争力。开发的方法和模型可以导致对工业有用的软件系统和信息技术基础设施。该教育计划将促进新技术的学习、教学和向工业的转移。

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) award is to develop new modeling methodologies for concurrent product assembly module design and supplier selection. Such methodologies will support quick and efficient adaptation of product assembly modules for high product variety, and allow identification of key interrelation between product module re-configurations and supply chain performance. The approach of this research is to develop three methods and integrate them: (1) graph theory based assembly representation method incorporating product and supply-chain information, (2) subassembly generation method by hierarchical multi-layer assembly decomposition, and (3) mathematical models for linking subassembly modules with suppliers for supply chain efficiency using multi-objective computation methods. Case studies will be conducted jointly by participating universities and industry partners in order to validate the above methods. Deliverables of this research include mathematical models, heuristics algorithms, software and materials for education and technology transfer.The success of this research project will transform assembly decomposition and supply chain design from disjointed processes into an integrated decision-making process, providing a more holistic view of the manufacturing enterprise and its all value stream partners. The graph-theoretic assembly representation and decomposition methods will provide innovative ways to model and plan assembly products more effectively, and will increase the level of concurrent engineering. These enhanced modeling capabilities and decision making tools will help minimize unnecessary lengthy iterations between the design department and suppliers, and improve U.S. manufacturing competitiveness by helping bring products to the market rapidly at reduced cost. The developed methodologies and models can lead to software systems and information technology infrastructure useful to industry. The education program will promote learning, teaching and transfer of new technologies to industry.