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The purpose of this paper is to propose a methodology for the engineering of E-maintenance platforms that is based on a value-driven approach.

The methodology assumes that a value-driven engineering approach would help foster technological innovation for maintenance management. Indeed, value-driven engineering could be easily adopted at the business level, with subsequent positive effects on the industrial applications of new information and communication technologies solutions.

The methodology combines a value-driven approach with the engineering in the maintenance scope. The methodology is tested in a manufacturing case to prove its potential to support the engineering of E-maintenance solutions. In particular, the case study concerns the investment in E-maintenance solutions developed in the framework of a Supervisory Control and Data Acquisition system originally implemented for production purposes.

Based on literature research, the paper presents a methodology that is implemented considering three different approaches (business theories, value-driven engineering and maintenance management). The combination of these approaches is novel and overcomes the traditional view of maintenance as an issue evaluated from a cost-benefit perspective.

Actual situations evidence how adopted decisions can change the decision constraints of the system where the analytic hierarchy process (AHP) is being applied. Therefore, the purpose of this paper is to provide a dynamic view of the AHP method, considering the criteria and alternatives as temporary variables and finally obtaining not only one good choice for a specific moment but a more comprehensive picture of those alternatives resulting more important for the business, according to strategy and over time.

With this purpose this paper starts with a short literature review and the general characteristics of the AHP method. Afterwards, the paper presents the problem that appears frequently in actual situations which justify the development of this research. Once described, the uncertainty appeared after the AHP implementation, the proposed methodology called dynamic analytic hierarchy process (DAHP) is presented.

Finally, this paper shows a case study and concludes with the main points of the research suggesting applications and further extensions.

The value of this paper is the description of a DAHP as a tool that can facilitate decision making related to some of the critical aspects in maintenance or post-sales area, permitting the alignment of actions with the business’ objectives.

This paper proposes a method to model and assess the availability and reliability of a system when numerous factors such as system complexity, wide range of failure modes, environment, and sustainability may influence system behaviour.

The approach for reliability/availability study is using continuous time stochastic simulation (Monte Carlo simulation) and is based on seven steps for covering logical phases from system description to simulation result discussion. The feasibility and benefits of this approach are shown in a case study on cogeneration plant.

Owing to the factors influencing the system behaviour, the opportunity to carry out system availability/reliability assessment through analytical models will be many times very restrictive. Thus a general approach to this problem is proposed based on Monte Carlo (stochastic) simulation. The simulation of the system's life process will be carried out in the computer, and estimates will be made for the desired measures of performance. The simulation will then be treated as a series of real experiments, and statistical inference will then be used to estimate confidence intervals for the performance metrics.

Individuals, companies as well as society in general are becoming more and more dependent on increasingly complex technical systems. Moreover, failure of these complex systems often causes a major loss of service with potentially serious consequences (i.e. critical risk). Thus their dependability with its facets such as reliability, availability, safety has become an important issue. For example, the ability of reliability/availability assessment of such systems is invaluable in industrial domains. Indeed reliability/availability assessment is used for various purposes such as maintenance strategy selection, maintenance planning, production planning, risk and cost evaluations. To face with this complexity, the existing analytical models are not well adapted to carry out system modelling and assessment due mainly to assumptions that are difficult to validate. This paper looks into this issue by proposing a generic approach based on Monte Carlo (stochastic) simulation.

The Monte Carlo simulation method allows one to consider various relevant aspects of systems operation that cannot be easily captured by analytical models. The utilisation of this method is growing for the assessment of overall plants availability and the monetary value of plant operation.

The exploitation of the equipment maintenance records is often a weak point within an operations management organization. Inexistence of a proper computerized maintenance management system, lack of competencies to properly handle maintenance data, or reduced knowledge in advance maintenance data processing techniques, are common problems to solve in order to benefit from the historical record of failures and maintenance operations carried out on certain equipment. This paper presents the learning obtained in a case study of the maintenance records of earthmoving equipment. We characterize the process to do a maintenance records analysis, describe difficulties and critical points of our sample study and present how this analysis could help in the process of identifying different root causes of critical fault modes. Finally, we present and discuss results and conclusions of the study.

In this paper, the authors are concerned with a maintenance workshop (MW) centralizing all corrective maintenance activities. The purpose of this paper is to propose a methodology for designing a central maintenance workshop, enabling the evaluation of performance in terms of cost and sojourn time, for a given budget.

The authors propose a modeling framework based on queuing networks. The aim is to maximize operational availability of the production workshop, by reducing the sojourn time of failed equipment in the MW.

The proposed methodology leads to a maintenance decision support tool enabling to give the structure of the MW, performing at a higher level, but at a reasonable configuration cost. Simulation results illustrate the influence of different parameters, such as the number of stations and the level of spare parts in the MW, on the sojourn time of the equipment.

Only corrective maintenance is taken into account and only equipment that can be taken out of the production workshop are considered. The preventive replacement of some equipment items can be taken into account by the repair process by considering them as failed.

The work falls within a more general framework for optimizing maintenance costs, in the context of integration of multi-site services in a distributed context. The paper is concerned with centralized maintenance, and proposes to integrate the so-called repair by replacement technique in a MW, used for a multi-site production workshop.

The purpose of this paper is to present a brief summary of quality and contractual aspects for the improvement of the warranty management. Together with this, the present work will show also some of the best practices followed by companies in order to manage properly those kinds of issues related to warranty, as well as some indications to assess the implementation degree of such practices in the whole organization. Basically, the global objective of the study is to present to the reader and in few words the importance of taking into account legal and quality aspects, when a company offers a technical service for the warranty assistance of any of its products, together with the maturity level that this company achieves applying some best practices currently available.

The study starts by mentioning some antecedents related to warranty, in order to summarize a reference framework, proposed for proper warranty management, and how the information exchange should be performed among the different departments of a generic company. Then, it will be suggested how to apply this according to a strategic management which is divided in phases, taken from the product life cycle concept: Front‐end, Design and Development, Production, Marketing, and Post‐sale Support. These phases are included in three higher stages considered as Pre‐Launch stage, Launch and Post‐Launch stage, where different decisions play important roles. Afterwards, it will be shown how warranty management is viewed from the contract and legal point of view, in order to link the above mentioned topics on generic management, with those best practices currently presented in actual markets. Finally, once analysed, all those aspects related to best practices and its application on the reference framework, it is required now to quantify how a company manages the warranty assistances by a maturity assessment on warranty management.

The paper observes what today's companies are doing in this field, that is, their best practices in warranty management covering the quality and contractual aspects already mentioned, in order to round off the development of a completed framework for such management.

The paper presents a review, a framework and a practical application of the framework for the management of warranty contracts, including a maturity assessment or evaluation.

The purpose of this paper is to examine the role of maintenance in improving company's competitiveness and profitability. In the first part the paper aims to discuss the potential improvement areas from the company perspective. Second part of this paper examines maintenance impact on company's business.

An empirical case study was utilized aiming to provide an understanding of the role of maintenance in improving company's business. The empirical data for this study were collected from a Slovenian textile company. A gap analysis was used in order to address the research problem and to identify potential improvement areas.

Based on the gap analysis, the results suggest that from respondents’ points of view, maintenance practices related to condition-based maintenance approach represent the highest opportunity for improvement. The most notable empirical results of the case study showed that around 3 per cent of additional profit could be generated at weaving machine, especially if all unplanned stoppages and loss of quality due to decrease in the productivity would be prevented.

This paper demonstrates to managers the potential benefits of maintenance policy in terms of productivity, quality and profitability. In this regard, this paper builds on a premise that company can gain higher performance benefits using more effective maintenance policy.

The proposed conceptual model contributes to the existing literature by showing the interactions between maintenance and company's competitiveness and profitability. Empirical findings of this study therefore, acknowledge maintenance's potential of increasing the overall profit. In addition this study advances prior studies by utilizing a gap analysis which is rare in this type of research.

This paper aims to present a case study where computer simulation is used to evaluate maintenance strategies targeted to cope with a critical failure of a repairable system.

The problem is characterized, modeled and simulated under different conditions and for finite time periods. The different states of the system and the possible transitions among these states are characterized. Transitions are conditioned by the failure dynamics and by the maintenance decision maker. The model is then formalized and the data requirements fulfilled.

The performance of several maintenance policies based on educated estimations about the equipment behavior, manufacturer recommendations, well‐known previous maintenance practices, etc. benchmarked against the results of certain modeling and optimization tools.

Practical implications of this work have to do with following the entire modeling process and maintenance policy assessment with an engineering team, exploring options and opportunities to support the maintenance managers.

Maintenance policy design exploration using semi‐Markovian process simulation modeling.

The purpose of this paper is to develop a methodology for supporting complex maintenance programs quantification (CMPQ) for industrial systems. The methodology is based on a generic formalization of static and behavioral expert knowledge both on the target system and on the maintenance one. The formalization is carried out first by means of system modelling language (SysML) diagrams to model knowledge concepts and second by the transformation of these concepts into Altarica data flow (ADF) language for developing stochastic simulation.

An industrial case study (ARE system) proposed by the electricite de France (EDF) company is used initially to show a real problem statement on CMPQ. It allows highlighting key scientific issues considered as the basis for methodology development. Main issues are related to static and dynamic knowledge formalization justifying the choice of SysML and ADF languages. The added value of this methodology is finally shown on the same case study serving as benchmark.

This paper demonstrates the suitability of using of SysML language for modelling the CMPQ knowledge and then of ADF language in building executable model implementing simulation as needed for assessing key performance indicators of CMPQ. ADF is based on formal mode automaton. Mapping rules are developed to ensure correspondence between the concepts of these two languages.

Additional industrial validations of the methodology should be performed to really evaluate its benefits.

This work was made possible thanks to a partnership with the EDF Company (French energy supplier). The results are therefore directly usable at practical industrial levels.

The CMPQ methodology proposed is fully generic leading to offering a library of atomic ADF components (COTS) which can be instantiated to develop executable model with regards to each specific application. It allows to favor reusability and makes easier the model development above all for a user who knows nothing about the language.

The purpose of this paper is to introduce a method for modelling the multi-state repairable systems subject to stochastic degradation processes by using the coloured stochastic Petri nets (CSPN). The method is a compact and flexible Petri nets model for multi-state repairable systems and offers an alternative to the combinatory of Markov graphs.

The method is grounded on specific theorems used to design an algorithm for systematic construction of multi-state repairable systems models, whatever is their size.

Stop and constraint functions were derived from these theorems and allow to considering k-out-of-n structure systems and to identifying the minimal cut sets, useful to monitoring the states evolution of the system.

The properties of this model will be studied, and new investigations will help to demonstrate the feasibility of the approach in real world, and more complex structure will be considered.

The simulation models based on CSPN can be used as a tool by maintenance decision makers, for prediction of the effectiveness of maintenance strategies.

The proposed approach and model provide an efficient tool for advanced investigations on the development and implementation of maintenance policies and strategies in real life.