A maintenance maturity assessment method for the manufacturing industry

Macchi, Marco; Fumagalli, Luca

doi:10.1108/jqme-05-2013-0027

Cited by 58 publications

(50 citation statements)

References 23 publications

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“…In fact, it was assumed that only companies with certain level of maturity in Maintenance Managementone of the precursors of AM 15,16 are ready enough to talk about and implement the wider concept of AM. The selection was possible thanks to the survey of the TeSeM observatory made with the purpose to benchmark the maturity in Maintenance Management practices, and counting on a sample of more than 300 companies up to 2015 (the maturity assessment of maintenance management practices adopts the method presented in (Macchi, Fumagalli, 2013) 17 ). The selected companies belong to different industrial sectors in order to avoid biases and to cover a broader scope of the production industry.…”

Section: Figurementioning

confidence: 99%

A Framework to Embed Asset Management in Production Companies

Roda

Macchi

2019

Value Based and Intelligent Asset Management

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The aim of this paper is to investigate how to embed Asset Management in production companies. A framework is defined based on literature analysis and focus groups findings, in which the fundamentals to guide the integration of Asset Management are systematized. Two dimensions are identifiedthe asset life cycle and the hierarchical level of the asset-control activitiesand four founding principleslife cycle, system, risk and asset-centric orientationas levers to integrate Asset Management within an industrial organization. An empirical investigation is then developed through multiple case-study involving eight production companies in Italy, with the purpose to map the elements of the framework against the real mechanisms in the industrial practices. This allows testing the relevance of the framework itself and demonstrating its potential as a support for companies to implement gap analysis on AM practices. Empirical evidence on current practices of AM in production companies is contextually unveiled.

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Section: Figurementioning

confidence: 99%

A Framework to Embed Asset Management in Production Companies

Roda

Macchi

2019

Value Based and Intelligent Asset Management

Self Cite

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“…Galar et al (2012) proposed a combined data-mining-based methodology for condition-based maintenance (CBM) considering condition-monitoring (CM) data and Historical Maintenance Management data. Macchi and Fumagalli (2013) measured and checked the performance improvement level of a company's maintenance practices. Mazurkiewicz (2014) studied the reliability of the continuous availability of conveyor belt.…”

Section: 1statement Of the Problemmentioning

confidence: 99%

Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study

Zare¹,

Feylizadeh²,

Mahmoudi³

et al. 2018

10.5267/j.dsl

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The purpose of this paper is developing a method to choose an appropriate Computerized Maintenance Management System (CMMS) using Multiple Criteria Decision Making (MADM) for a dairy company. Among different methods, the grey group TOPSIS and fuzzy group VIKOR methods were selected. TOPSIS is a Technique for order of Preference by Similarity to Ideal Solution and VIKOR technique is a method based on compromise programming. The data in this article were gathered using the interviews with the company's managers and elites in the field of maintenance. Then, out of five types of maintenance software, the best ones were selected using these two techniques and finally the results were compared with each other. In the selection process, 13 sub-criteria were introduced under 5 main criteria. These criteria were selected out of a huge number of criteria using the studies of others and by consulting with the company's managers and experts. We have tried to make the choices in a way that the majority of aspects could be considered. This paper helps the maintenance managers in decision-making related to choosing the CMMS software in uncertainty environment. Using two different fuzzy and grey approaches and comparing the results can lead to appropriate selection and improve the confidence in decision-making. Maintenance planning issues are among the important issues in industrial production systems. Maintenance systems have basically made remarkable progress in recent years. The increase of companies' competitive pressure on the one hand and the close relationship between maintenance activities and companies' core activities, on the other hand, have encouraged companies to use the software in order to manage their maintenance activities.

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“…Three hundred industrial companies in different industrial sectors (mechanical, food, chemical-pharmaceutical and others) and of different sizes (34% SMEs and 66% Big) compose the reference sample. The research is based on a maintenance maturity assessment method developed by the TeSeM and implemented through a questionnaire [14]. The method allows assessing the maintenance maturity both as a synthetic index -in the remainder general maturity index (GMI), for measuring the general Maturity Level (ML) -and a set of component indexes accordingly with the need to measure the managerial, organizational and technological capabilities of the maintenance department.…”

Section: State Of Practicementioning

confidence: 99%

“…ML5 is the optimizing one (meaning that process is managed by ensuring the continuous improvement; causes of defects and problems in the processes are identified and actions taken in order to prevent problems from occurring in the future) [14]. A general overview regarding the GMI in the Italian industry nowadays is given in Fig.1.…”

Section: State Of Practicementioning

confidence: 99%