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The purpose of this case study is to identify and develop maintenance performance indicators (MPIs) for a mineral processing plant producing high quality iron ore pellets, as well as studying and analyzing the short plant stops and planned maintenance stops.

An action research approach was adopted for this study, with interactive process of interviews. The existing MPIs are analyzed and a set of MPIs are developed to measure the performance of balling area of the pelletization plant, where the effect of shorter stops in the process have been studied, analyzed and measured, and linked to the management's objectives. The utility of the MPIs are tested and validated within the framework of a multi‐criterion and hierarchical maintenance performance measurement (MPM) framework. The plant stop data of the plant were collected and analyzed for MPIs and for maintenance decision making. Some other criteria were also considered from a holistic, integrated and balanced viewpoint in the model.

This study resulted in identifying a set of MPIs for the operational level of the pelletization plant of LKAB, after analyzing the short plant stops and planned maintenance stops data, and the stakeholders' requirements. This study has identified nine MPIs at operational level or shop floor level that describe the status of plant and at the same time facilitates linking of plant performance with corporate strategy.

The approach used in the paper to study, analyze and develop MPIs, can be useful for plant managers and asset owners to select and develop MPIs that can describe the health status of their plant and asset and that also can be linked to the corporate strategy. The framework used to verify the multi‐criteria hierarchical framework can also be used by similar asset managers and infrastructure owners. This study has also lifted the impact of short duration stoppages, thus highlighting the total influence in terms of reduced life length, quality and productivity. This approach can be used by plant engineers, asset managers and infrastructure owners to assess the performance of maintenance process.

This paper presents an approach for identifying MPIs relevant to the plant status and facilitating measuring maintenance performance at corporate level in a structured way.

Maintenance management is a business function of which the considerable operational and tactical importance is still growing. As problems and opportunities are needed to be anticipated in time in order to make the necessary adjustments, sound performance reporting is indispensable. Presents a short overview of commonly used maintenance performance measurement systems based on literature study and industrial practice. Discusses experiences with the implementation of an in‐house developed performance measurement tool in Belgian industry. Presents recommendations concerning the introduction of a maintenance performance reporting system.

Value driven maintenance (VDM) is a fairly new maintenance management methodology based on four maintenance value drivers and the formula of net present value (NPV) to calculate the value of different maintenance strategies. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the NPV. Therefore, the purpose of this paper is to critically analyse standardised indicators to find the most essential indicators for the four value drivers and for estimation of the NPV. Terminology containing performance drivers and killers are common in the field of asset management, but not many publications can be found for their detailed descriptions. One section in this paper is therefore dedicated to review these terms. A comprehensive description and classification of performance killers and drivers, and of indicators for VDM are presented in this paper.

Review of literature for technical terminology and review of standards for identification of indicators for maintenance performance measurement and NPV of maintenance.

Common description of technical terminology, as used by researchers, and identification of the most important indicators for maintenance performance measurement and the NPV of maintenance. Indicators classified under economic, technical, organizational and health, safety and environment (HSE) perspectives from EN 15341 standards are discussed and identified.

Description of emerging terminology in maintenance performance measurement adds to the consistency in communication of researchers and business stakeholders. Also, the identified maintenance performance indicators can facilitate performance measurement of organisations new to the process of measuring and analysing their performance.

Describes a practical approach to carrying out maintenance performance analysis through a quality audit, using quantifiable performance indicators. The principles of a practical approach to performing a quality audit of a maintenance department are presented. The audit comprises: a survey and collection of relevant information about the organization and the operation of the maintenance department; an in‐depth analysis of the information from a performance point of view; formulation of recommendations, setting priorities and plan of proposed actions; and performing cost benefit analysis to justify the proposed actions. A selection of quantifiable maintenance performance indicators used in the evaluation process is given and the values of ten performance indicators in three industrial sectors in Europe are given to illustrate the proposed approach.

The purpose of this paper is to show how performance‐based contracting functions as an enabler of service innovation by maintenance contractors.

A postal survey of medium‐sized maintenance employers was carried out. The questionnaire and findings were mapped and analysed combining existing models of service innovation and service quality.

As a consequence of the survey, performance‐based contracting maintenance companies implement innovations in their service concept, client interface and service delivery system to guarantee the quality of their services. The maintenance contractors have launched new, improved or better competing services for their own organisation. Existing services are implemented in a new environment incorporating small incremental innovations.

Maintenance companies do not solely address all business innovations as consequences of performance‐based contracting. Performance‐based contracting of, for example, building services may by the different nature of the maintenance strategies and activities lead to somewhat other outcomes.

There is very little literature on maintenance contractors as service providers and service innovators. This paper provides insights in innovations by maintenance contractors as well as the needed additional knowledge and competences of the contractors acting as maintenance‐engineering consultants.

This paper proposes a progressive, multi-level framework for diagnosing maintenance performance: rapid performance health checks of key performance for different equipment groups and end-to-end process diagnostics to further locate potential performance issues. A question-based performance evaluation approach is introduced to support the selection and derivation of case-specific indicators based on diagnostic aspects.

The case research method is used to develop the proposed framework. The generic parts of the framework are built on existing maintenance performance measurement theories through a literature review. In the case study, empirical maintenance data of 196 emergency shutdown valves (ESDVs) are collected over a two-year period to support the development and validation of the proposed approach.

To improve processes, companies need a separate performance measurement structure. This paper suggests a hierarchical model in four layers (objective, domain, aspect and performance measurement) to facilitate the selection and derivation of indicators, which could potentially reduce management complexity and help prioritize continuous performance improvement. Examples of new indicators are derived from a case study that includes 196 ESDVs at an offshore oil and gas production plant.

Methodological approaches to deriving various performance indicators have rarely been addressed in the maintenance field. The proposed diagnostic framework provides a structured way to identify and locate process performance issues by creating indicators that can bridge generic evaluation aspects and maintenance data. The framework is highly adaptive as data availability functions are used as inputs to generate indicators instead of passively filtering out non-applicable existing indicators.

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

This research aims to examine the relevant literature related to maintenance performance measurement in the manufacturing sector. In the process, innovative approaches and models utilized to measure and manage maintenance performance in manufacturing operational settings are classified and examined. Based on this investigation, future research directions and themes are identified.

A database of 251 peer‐reviewed publications, published during the last 30 years, was utilized for the purpose of this research. The published works included contributions from both practitioners and scholars.

This literature review‐based research revealed important themes related to evolution of maintenance performance management. These themes focus on the effective utilization of maintenance resources, information systems support, and human factor management. Based on this literature review, a conceptual framework, which traces the different operational and organizational facets of the evolution of maintenance performance management, is offered.

Based on the findings of this study, it is concluded that the area of maintenance performance and management is in need of more future systematic research efforts aimed at solidifying theoretical constructs and promoting the utilization of more practical applications.

Findings derived from this investigation have relevant manufacturing implications. In this context, understanding the different approaches to maintenance performance measurement and management, as utilized in manufacturing organizations, is critical to these organizations' performance improvement efforts.

Understanding the types and scopes of the different approaches and models utilized to manage and measure maintenance performance in manufacturing operational settings is important in light of the growing competitiveness of the manufacturing sector.

The purpose of this paper is to identify key variables that affect the quantifiable key performance indicators (KPIs) and to derive equations to measure these indicators. Qualitative KPIs are also discussed in terms of the aspects that need to be covered while carrying out qualitative performance assessment.

A combination of literature and an industry opinion-based qualitative approach is applied to develop equations to calculate the quantifiable KPIs. A facility asset management consulting firm is included in the process of deriving the equations. Key aspects of a facility's qualitative performance assessment are categorized and discussed by performing a literature review.

Mathematical expressions for core performance indicators are presented and discussed along with key variables. In addition, the information needed to quantify these core indicators is also discussed.

This paper represents the second step towards establishment of a relevant list of quantifiable and measurable core KPIs, which were identified and categorized in Part I of this paper. In Part II, the authors derive equations to quantify the core KPIs. Future research is needed to use relevant information from industry for validating these equations.

A need for a concise and relevant list of KPIs was identified in Part I of this paper. Part II provides an approach to quantify the core KPIs based on information that is available in the industry. This research will help facility management professionals in not only selecting the indicators of choice, but also quantifying them based on available information yielding enhanced facility management decisions with measurable facility performance outcomes.

This paper provides equations and variables to measure a facility's physical, functional and financial performance using both quantitative and qualitative performance assessments.

The purpose of this study is to ensure productive, robust and sustainable production systems and realise digitalised manufacturing trough implementation of Smart Maintenance – “an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies”. This paper aims to support industry practitioners in selecting performance indicators (PIs) to measure the effects of Smart Maintenance, and thus facilitate its implementation.

Intercoder reliability and negotiated agreement were used to analyse 170 maintenance PIs. The PIs were structurally categorised according to the anticipated effects of Smart Maintenance.

Companies need to revise their set of PIs when changing manufacturing and/or maintenance strategy (e.g. reshape the maintenance organisation towards Smart Maintenance). This paper suggests 13 categories of PIs to facilitate the selection of PIs for Smart Maintenance. The categories are based on 170 PIs, which were analysed according to the anticipated effects of Smart Maintenance.

The 13 suggested categories bring clarity to the measuring potential of the PIs and their relation to the Smart Maintenance concept. Thereby, this paper serves as a guide for industry practitioners to select PIs for measuring the effects of Smart Maintenance.

This is the first study evaluating how maintenance PIs measure the anticipated effects of maintenance in digitalised manufacturing. The methods intercoder reliability and negotiated agreement were used to ensure the trustworthiness of the categorisation of PIs. Such methods are rare in maintenance research.