Abstract
A concurrent approach to hierarchical selection of design concepts for maintenance management is introduced. The interactions amongst selection problems in maintenance are taken into account concurrently by formulating an entire hierarchy as a single coupled Decision Support Problem (DSP). Using this method it is possible to model interactions among different concepts rather than creating a model in which these decisions are made sequentially, hence this approach can form a basis for concurrent engineering. We illustrate our approach by formulating and solving a gas turbine axial compressor fouling maintenance problem as a coupled selection-selection DSP. The filter for fouling prevention and the washing media for fouling treatment are selected simultaneously while interactions between the two selections are considered. Our focus in this paper is on explaining our approach rather than the results perse.
Original language | English (US) |
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Title of host publication | 19th Design Automation Conference |
Subtitle of host publication | Volume 1 - Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization |
Publisher | American Society of Mechanical Engineers (ASME) |
Pages | 87-95 |
Number of pages | 9 |
ISBN (Electronic) | 9780791811818 |
DOIs | |
State | Published - 1993 |
Event | ASME 1993 Design Technical Conferences, DETC 1993 - Albuquerque, United States Duration: Sep 19 1993 → Sep 22 1993 |
Publication series
Name | Proceedings of the ASME Design Engineering Technical Conference |
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Volume | Part F167972-13 |
Conference
Conference | ASME 1993 Design Technical Conferences, DETC 1993 |
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Country/Territory | United States |
City | Albuquerque |
Period | 9/19/93 → 9/22/93 |
Funding
In part, this work was performed while Wei Chen was supported as a Research Assistant in the Department of Mechanical Engineering at the University of Houston. We gratefully acknowledge the financial contribution made by our corporate sponsor. The BE Goodrich Company, for the further development of the Decision Support Problem Technique. A grant from the Texas Advanced Technology Program Grant No. 3652-227 and NSF Grants 8806811 and DDM-9396052 are both gratefully acknowledged.
ASJC Scopus subject areas
- Mechanical Engineering
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Modeling and Simulation