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The Development of a Hybrid Knowledge-Based System for Integrated Maintenance Strategy and Operations in an Automotive Industry Environment: The Development of a Hybrid Knowledge-Based (KB) System/ Gauging Absences of Pre-Requisites (GAP)/Analytic Hierarchy Process (AHP) Methodology for Integrated Maintenance Strategy and Operations in an Automotive Industry Environment
Milana, Milana
Milana, Milana
Publication Date
End of Embargo
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The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Faculty of Management, Law and Social Sciences
Awarded
2018
Embargo end date
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Abstract
The dependency of maintenance as a manufacturing logistic function has made
the considerations of maintenance decisions complex in nature. The importance
of maintenance has escalated significantly by the increasing of automation in
manufacturing processes. This condition switches the traditional maintenance
perspective of “fire-fighter” into the business competitive driver. As a
consequence, maintenance needs to consider other related aspects of decision
making to achieve competitive advantage.
This research aims to develop a hybrid Knowledge-Based (KB)
System/GAP/AHP methodology to support the integration of maintenance
decision with business and manufacturing perspectives. It constructs over 2000
KB rules on Strategic Stage (business and manufacturing aspects) and
Maintenance Operations Stage (maintenance aspects). Each aspect contains
KB rules attached with GAP analysis to assess the gap between current and
prerequisite condition. AHP analysis is then deployed to compare those aspects
structurally in a pair-wise manner to identify the critical ones to be rectified. This
hybrid KB system is useful in reviewing the existing maintenance system
performance and provides reasonable recommendations to improve
maintenance performance with respect to business and manufacturing
perspectives. Eventually, it indicates the roadmap from the current state to the
benchmark goals for the maintenance system.
This novel methodology of KBS/GAP/AHP to support maintenance decision is
developed for a particular application in the automotive environment. The
validation is conducted in two automotive companies in Indonesia and one
published case study in an automotive company. The result confirms that the
developed KB system can provide the valid, reasonable and consistent result to
propose structured recommendation for maintenance improvement priority.
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Type
Thesis
Qualification name
PhD