Performance measurement and management for maintenance: a literature review

Parida, Aditya; Kumar, Uday; Galar, Diego; Stenström, Christer

doi:10.1108/jqme-10-2013-0067

Cited by 124 publications

(122 citation statements)

References 102 publications

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“…In this regard, our study underscores previous studies (e.g. Parida et al, 2015) suggesting that performance assessment ultimately enhances competitive advantage. In contrast to the competitiveness, our study did not reveal any significant dependence between uncertainty and the majority of the KPIs used in this study.…”

Section: Discussionsupporting

confidence: 51%

“…Recent studies (e.g. Parida et al, 2015) emphasize that the asset managers and owners need to measure and know the relationship between the outputs of asset and maintenance process in terms of its total contribution to the business goal. This means that measurement is fundamental to achieve higher performance, to achieve improvement and business success (Parida, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…The KPIs were identified based on maintenance and asset performance measurement literature (e.g. Parida, Kumar, Galar, & Stenström, 2015;Muchiri et al 2011;Maletič et al, 2012). A 5-point Likert scale was used to assess how much emphasis is placed on each of the KPIs.…”

Section: Methodsmentioning

confidence: 99%

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Contingency Factors Influencing Implementation of Physical Asset Management Practices

et al. 2017

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Purpose:The purpose of this empirical study is to examine the role of two contingency factors, i.e. uncertainty and competitiveness in relation to physical asset management (PAM) practices as well as to maintenance key performance indicators. The research is based on a premise that PAM, which was defined by risk management practices, performance assessment practices, life cycle management practices, and policy & strategy practices, has become an indispensable element of strategic thinking of asset owners as well as maintenance and asset managers. The purpose of this study is to advance the understanding of how organizations that face high or low level of uncertainty and competitiveness respond in terms of PAM deployment. Methodology/Approach: This study employed a data set based on a large-scale survey among organizations in six European countries (i.e. Slovenia, Poland, Greece, Sweden, Turkey and Slovakia). Data were collected from 138 organizations located in the above-mentioned countries to conduct the study. Findings:The results show that organizations that are faced with high level of uncertainty and competitiveness are more engaged in the deployment of PAM practices. Moreover, results show that when organizations are facing high levels of competitiveness they are using KPIs to a greater extent than organizations under low levels of competitiveness. Originality/value: From a theoretical perspective, this study contributes to the contingency theory by providing empirical evidence whether a context-dependent approach to PAM is needed. The findings also provide insights for managers on how to respond to the competitive pressure as well as how to customize PAM practices in order to adapt to the changes in dynamic organizational environment.

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Section: Discussionsupporting

confidence: 51%

Section: Discussionmentioning

confidence: 99%

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Contingency Factors Influencing Implementation of Physical Asset Management Practices

et al. 2017

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“…One of the strategies to adopt in order to increase awareness of maintenance importance in industrial and productive contexts is to prove its effectiveness [4]. It is essential to measure maintenance performance, for the justification of investments in this function [5] and for strategic thinking for asset managers.…”

Section: Introductionmentioning

confidence: 99%

Imperfect Maintenance Models, from Theory to Practice

Carlo¹,

Arleo²

2017

System Reliability

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The role of maintenance in the industrial environment changed a lot in recent years, and today, it is a key function for long-term profitability in an organization. Many contributions were recently written by researchers on this topic. A lot of models were proposed to optimize maintenance activities while ensuring availability and high-quality requirements. In addition to the well-known classification of maintenance activities-preventive and corrective-in the last decades, a new classification emerged in the literature regarding the degree of system restoration after maintenance actions. Among them, the imperfect maintenance is one of the most studied maintenance types: it is defined as an action after which the system lies in a state somewhere between an "as good as new" state and its pre-maintenance condition "as bad as old." Most of the industrial companies usually operate with imperfect maintenance actions, even if the awareness in actual industrial context is limited. On the practical definition side, in particular, there are some real situations of imperfect maintenance: three main specific cases were identified, both from literature analysis and from experience. Considering these three implementations of imperfect maintenance actions and the main models proposed in the literature, we illustrate how to identify the most suitable model for each real case.

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“…Wenzler, 2005;Al-Turki et al, 2014;Shah et al, 2017). A second challenge is to clearly define objectives, not only to make these measurable, but also to allow performance management (Parida et al, 2015). This also allows continuous improvement of maintenance performance, which is "much talked-about, but more rarely evident as an organizational habit" (Woodhouse, 2012, p. 3).…”

Section: In Alcm the Whole Life Cycle Of A Physical Asset Is Taken Imentioning

confidence: 99%

Manoeuvring physical assets into the future

Ruitenburg¹

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Performance measurement and management for maintenance: a literature review

Cited by 124 publications

References 102 publications

Contingency Factors Influencing Implementation of Physical Asset Management Practices

Contingency Factors Influencing Implementation of Physical Asset Management Practices

Imperfect Maintenance Models, from Theory to Practice

Manoeuvring physical assets into the future

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