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Socharis: The instantiation of a strategy for conceptual manufacturing planning

Published online by Cambridge University Press:  26 December 2000

OLEG LUKIBANOV ,
ILIANA MARTINEZ ,
TIMOTHY J. LENZ ,
JAMES K. McDOWELL ,
CLARK RADCLIFFE  and
JON STICKLEN
OLEG LUKIBANOV
Affiliation:
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
ILIANA MARTINEZ
Affiliation:
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
TIMOTHY J. LENZ
Affiliation:
Department of Chemical Engineering, Michigan State University, East Lansing, MI 48824, USA
JAMES K. McDOWELL
Affiliation:
Mad Dog Composites, Inc.
CLARK RADCLIFFE
Affiliation:
Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824, USA
JON STICKLEN
Affiliation:
Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824, USA
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Abstract

Considering manufacturing expertise during the early stages of design can be of great benefit. Such information can greatly improve not only the quality of a design, but it can also ensure the generation of an easily manufactured design. This, in turn, can lower the final cost of the designed product. By evaluating how easily an evolving conceptual design can be made, potential hazards can be avoided before any detailed design efforts commence. The conceptual manufacturing planning requisite to such an evaluation is the focus of this paper. A domain-independent strategy for conceptual manufacturing planning is presented. A task-structure analysis of this strategy shows its domain independence. A specific implementation of this strategy for polymer composites manufacturing planning (Socharis) is discussed. The high-level implementation details of Socharis are presented as instantiations of the conceptual manufacturing planning strategy. Finally, the validity of the planning strategy and the utility of Socharis are assessed.

Keywords

Conceptual DesignDesign For ManufactureIntelligent SystemsManufacturing PlanningPolymer Composites
Type
Research Article
Information
AI EDAM , Volume 14 , Issue 4 , September 2000 , pp. 323 - 335
Copyright
© 2000 Cambridge University Press

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