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A maintenance-focused approach to complex system design

Published online by Cambridge University Press:  14 July 2016

Bo Yang Yu ,
Tomonori Honda ,
Syed M. Zubair ,
Mostafa H. Sharqawy  and
Maria C. Yang
Bo Yang Yu
Affiliation:
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Tomonori Honda
Affiliation:
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Syed M. Zubair
Affiliation:
Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Mostafa H. Sharqawy
Affiliation:
School of Engineering, University of Guelph, Guelph, Ontario, Canada
Maria C. Yang*
Affiliation:
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
*
Reprint requests to: Maria C. Yang, Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 3-449B, Cambridge, MA, USA. E-mail: [email protected]
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Abstract

Maintenance plays a critical role in reducing operating cost and maximizing reliability of a complex engineering system. This paper proposes a novel maintenance-focused, system-level design framework that attempts to capture the interactions between maintenance strategies and system-level design parameters overlooked in current modeling approaches. The goal of this maintenance-focused approach is to help designers better understand the interconnectedness of system architecture, choice of maintenance strategy, and uncertainties in a design. Application of the proposed design framework is demonstrated through a case example of a power plant condenser system. Results show that using an integrated approach can reveal the many nonobvious interactions between subsystems, and produce system designs that have lower life-cycle cost compared to traditional sequential design approaches.

Keywords

Design OptimizationMaintenanceResilienceSystem Engineering
Type
Special Issue Articles
Information
AI EDAM , Volume 30 , Special Issue 3: System Architecture Design , August 2016 , pp. 263 - 276
Copyright
Copyright © Cambridge University Press 2016 

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