A proactive decision making framework for condition-based maintenance. Issue 7 (10th August 2015)

• Record Type: Journal Article
• Authors: Bousdekis, Alexandros; Magoutas, Babis; Apostolou, Dimitris; Mentzas, Gregoris
• Is Part Of: Industrial management & data systems. Volume 115:Issue 7(2015)
• Page Start: 1225
• Page End: 1250
• Publication Date: 2015-08-10
• Subjects: Industrial management -- Periodicals; Electronic data processing -- Periodicals; Business -- Periodicals; Industrial management -- Great Britain -- Periodicals; 658.05
• DOI: 10.1108/IMDS-03-2015-0071
• Languages: English
• ISSNs: 0263-5577

Abstract

<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified. </p> </sec> <sec> <title content-type="abstract-heading">Practical implications</title> <p> – The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.</p> </sec> </abstract>