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Article
Publication date: 10 August 2015

Alexandros Bousdekis, Babis Magoutas, Dimitris Apostolou and Gregoris Mentzas

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…

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2092

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Industrial Management & Data Systems, vol. 115 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 21 August 2007

Christos Halaris, Babis Magoutas, Xenia Papadomichelaki and Gregoris Mentzas

The purpose of this paper is to present a multi‐faceted summary and classification of the existing literature in the field of quality of service for e‐government and…

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4227

Abstract

Purpose

The purpose of this paper is to present a multi‐faceted summary and classification of the existing literature in the field of quality of service for e‐government and outline the main components of a quality model for e‐government services.

Design/methodology/approach

Starting with fundamental quality principles the paper examines and analyzes 36 different quality approaches concerning public sector services, e‐services in general and more specifically e‐government services. Based on the dimensions measured by each approach the paper classifies the approaches and concludes on the basic factors needed for the development of a complete quality model of e‐government services.

Findings

Based on the classification of literature approaches, the paper provides information about the main components of a quality model that may be used for the continuous monitoring and measuring of public e‐services' quality. The classification forms the basis for answering questions that must be addressed by the quality model, such as: What to assess?; Who will perform the assessment? and How the assessment will be done?

Practical implications

This model can be used by the management of public organizations in order to measure and monitor the quality of e‐services delivered to citizens.

Originality/value

The results of the work presented in this paper form the basis for the development of a quality model for e‐government services.

Details

Internet Research, vol. 17 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

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