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Lu, Stephen C-Y Subramanyam, Sridhar 2011-05-07T12:20:14Z 2011-05-07T12:20:14Z 10000-01-01 1989 Simultaneous Engineering addresses the issue of developing the lowest cost design of a part by concurrently taking into consideration different product life-cycle concerns during the product developmental process. When only functional, structural, and machining life-cycle concerns are considered, Simultaneous Engineering entails concurrent product and process design. The objective of this research is to study and propose a methodology for the simultaneous product and process design of components manufactured in small and medium lot-sizes. For such components, Simultaneous Engineering is the process of ensuring that these parts are manufacturable for the lowest possible cost in specially designed facilities such as manufacturing cells. A computer-based design environment encapsulating the expertise of process planners has been developed to cooperatively assist designers in developing manufacturable product designs. Model-based reasoning is the fundamental methodology employed to develop the framework of this design environment. Explicit models to describe product designs and manufacturing facilities have been developed to support the reasoning process. A combination of feature-based, geometric, and process performance models is proposed to satisfy the basic requirements. The reasoning subsystem is based on the Multiple Cooperative Knowledge Sources (MCKS) paradigm, with explicit separation of domain and control knowledge. Domain knowledge sources deal with the product and process refinement activities, and a control knowledge source deals with managing the concurrency between these two tasks. Appropriate justifications are provided in this research for the modeling and reasoning mechanisms chosen. The design environment has been tested and validated mainly by implementing it for the simultaneous product and process design for Bearing Cages. Several observations made about the general characteristics of the design environment, its impact on the product and process designer, and the unique nature of the knowledge acquisition task are discussed in detail and suitable recommendations are provided for future research directions. Made available in DSpace on 2011-05-07T12:20:14Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9011041.pdf: 7666403 bytes, checksum: 3b87c0ff1691d2f03764be3af3044899 (MD5) Previous issue date: 1989 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:39:46Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:16:51-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9011041 (UMI)AAI9011041 http://hdl.handle.net/2142/19838 eng Copyright 1989 Subramanyam, Sridhar Engineering, Industrial Engineering, Mechanical Engineering, System Science Artificial Intelligence Computer-aided simultaneous engineering for components manufactured in small and medium lot sizes text Mechanical Science and Engineering Mechanical Science and Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.