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The purpose of this work is to investigate industrial asset management (AM) in manufacturing. After depicting gaps for AM in this sector, the role of information as a key dimension is considered to realise a summary of challenges and advices for future development.

The work is grounded on an extensive systematic literature review. Considering the eligible documents, descriptive statistics are provided and a content analysis is performed, both based on a sector-independent normative-based framework of analysis.

AM principles, organisation and information are the dimensions defined to group ten areas of interest for AM in manufacturing. Information is the major concern for an effective AM implementation. Moreover, Internet of Things and big data management and analytics, as well as data modelling and ontology engineering, are the major technologies envisioned to advance the implementation of AM in manufacturing.

The identified challenges and advices for future development may serve to stimulate further research on AM in manufacturing, with special focus on information and data management. The sector-independent normative-based framework may also enable to analyse AM in different contexts of application, thus favouring cross-sectorial comparisons.

Industries with higher operational risk, like Oil&Gas and infrastructure, are advanced in AM, while others, like some in manufacturing, are laggard in this respect. This literature review is the first of a kind addressing AM in manufacturing and depicts the state-of-the-art to pave the way for future research and development.

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.

Spare parts management plays a relevant role for equipment-intensive companies. An important step of such process is the spare parts classification, enabling properly managing different items by taking into account their peculiarities. The purpose of this paper is to review the state of the art of classification of spare parts for manufacturing equipment by presenting an extensive literature analysis followed by an industrial assessment, with the final aim to identify eventual discrepancies.

Not only is the attention put on the literature about the subject, but also on an on-field analysis, that is presented comprehending an extensive survey and two in-depth exploratory case studies. The copper mining sector was chosen being representative for the case of capital intensive plants where the cost of maintenance has relevant weight on the total operating cost.

The paper highlights the status of the scientific literature on spare parts classification by showing the current situation in the real industrial world. The paper depicts the existing barriers that leave gaps between theory and real practice for the application of an effective multi-criteria spare parts classification.

The paper provides a review of the theory on spare parts classification methods and criteria, as well as empirical evidences especially for what concern current situation and barriers for an effective implementation in the industrial environment. The paper should be of interest to both academics and practitioners, since it provides original insights on the discrepancies between scientific and industrial world.

The paper proposes a maturity assessment method to measure the state of maintenance practices in a company.

The method assumes that a maintenance department is evaluated in terms of its managerial, organizational and technological capabilities. By its adoption it is possible to analyse the maturity level reached by a company, in order to classify the criticalities in its maintenance processes; a company can also make a benchmark with the best companies of a reference sample.

The paper presents the method as a support to identify the levers to improve the maintenance management system. The method is demonstrated on a company whose maturity is assessed before making a benchmark against a sample of other manufacturing companies located in the Northern Italy.

The paper presents a scoring method for maturity assessment and a procedure to use it in order to identify the criticalities in maintenance processes and to subsequently drive the improvement of the maintenance management system. The paper should be useful both to researchers and maintenance professionals interested in using new methods for long‐term planning in maintenance.

The purpose of this paper is to primarily focus on labor in maintenance areas, addressing human rights issues, labor standards and safety standards. The main issue is to investigate how these factors are considered to drive the prioritization of maintenance interventions within maintenance plans. In particular, a method for criticality analysis of production equipment is proposed considering specific labor issues like age and gender, which can be useful to steer maintenance plans toward a more social perspective.

The authors focus on the two main social issues of SA 8000 norms, age and gender, exploring how these issues may drive the selection of maintenance policies and the relative maintenance plans. The research is conducted through fuzzy analytical hierarchy process (AHP) implemented within a failure mode effects analysis (FMEA).

The research is conducted through fuzzy AHP implemented within a FMEA. The maintenance plans resulting from the FMEA driven by social issues are evaluated by a benchmark of three different scenarios. The results obtained allowed the firm to evaluate maintenance plans, considering the impact on workers’ health and safety, the environment, social issues like gender and age.

One of the main limitation of this research is that it should also encompass maintenance costs under social and safety perspective. The method developed should be extended by further study of maintenance planning decisions subject to budget constraints. Moreover, it would be worth evaluating the effect of adopting more proactive maintenance policies aimed at improving plant maintainability in view of what emerged during the test case in the presence of an aged workforce and the subsequent need to prevent and/or protect people from hidden risks.

With reference to the results obtained from the two models of this scenario, the authors observed an increase of equipment criticality, from B class to the A class, and similarly from C class to B class. No equipment has reduced its criticality. This depends on the particular context and the relative weights of drivers indicated in its AHP matrixes.

The paper addressed the main social implication as well as other social issues represented by age and gender factors, which are normally neglected. The Action Research (AR) proved the effects resulted from considering either gender factor or gender and age factors at the same time for maintenance policy selection. All in all, an increase of criticality is evident even if “people” is a driver with less importance than “environment” and “structures.”

The present work focussed on a new definition of a criticality ranking model to assign a maintenance policy to each component based on workers’ know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and AHP to overcome uncertainties, which can rise during a decision process when there is a need to evaluate many criteria, ranging from economic to environmental and social dimensions.

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.

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 investigate the strategies business incubators (BI) adopt in respect to the creation of incubatee intellectual capital, and it focuses in particular on links between BI structural capital and the creation of incubatee relational capital (RC). By crossing IC literature with the open innovation paradigm the authors consider the incubator as an innovation intermediary and the authors investigate how different incubator strategies of knowledge exchange take place within and across incubator boundaries. The main issues the authors seek to explore regard the mechanisms by which incubators shape the exchange of knowledge within and across their boundaries and the rationale underlying such an approach.

The analysis is based on a multiple case study research involving five Italian incubators. Primary and secondary data were gathered through interviews with each incubator managing director and with relevant actors.

The analysis allows us to propose a theoretical framework and to highlight how different structural capital shape heterogeneous processes by which incubatees build their RC. The authors find that important differences in RC formation are present both at an exchange of knowledge level within the incubator, and across incubator boundaries.

The main limitations of this study regard the generalizability of results. This is mostly an exploratory work and further research based on quantitative rather than qualitative analysis, would provide stronger evidence in order to validate the results with respect to the population of incubators and consequently lead to more precise policy implications.

The analysis points to the importance of recognizing different BI approaches regarding the mechanisms by which incubatees develop their RC, and allows us to gain a knowledge-based conceptualization of incubators. This definition moves beyond the more diffuse classification based on public vs private and sectoral specificities, and introduces some new insights for further research.

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.

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.