The work aims at thinking over a concept of spare parts manufacturing on request and in a short time. This concept will concern 'isolated systems' in which the part supplying is made difficult because of the specific environment which is not really adapted and for which the storage of spare parts implies space constraints incompatible with the size of such systems. The quick spare parts manufacturing is made possible by developing new quick manufacturing technologies about to be mature today and using e-maintenance supports. The implementation of those technologies allows reproducing the defective unit, which needs to be replaced in a short time and according to the requirements. # 2006 Published by Elsevier B.V.

To cite this version:Bernard Kamsu-Foguem, Daniel Noyes. Graph-based reasoning in collaborative knowledge management for industrial maintenance.

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The evaluation of maintenance strategies is a problem which has been widely tackled. However, it remains a topic worthy of consideration since the economic stakes peculiar to this activity are huge. The work presented in this paper deals with this problem under the point of view of data feedback. A statistical analysis is made from the examination of the forms of the failure rate distribution. The laws resulting from the implementation of a given maintenance strategy inform us about the relevance of the choices representative of this strategy. The construction of these laws from a raw time of repair is a global approach which tends to hide the induced phenomenon. A decomposition of the repair process into phases allows us to better identify the influence of the strategy parameters. The analysis of each elementary phase distribution is interesting since it gives information about the performance of the implemented maintenance strategy.

This paper considers the problem of modeling and analyzing the reliability of a system or a component (system) where the state of the system and the state of process variables influences each other in addition to an exogenous perturbation influence: this is the dynamic reliability. We consider discrete time case, that is the state of the system as well as the state of process variables are observed or measured at discrete time instants. A mathematical tool that shows interesting properties for modeling and analyzing this problem is the so called Dynamic Bayesian Networks (DBN) that permit graphical representation of stochastic processes. Furthermore their learning and inference capabilities can be exploited to take into account experimental data or expert's knowledge. We will show that a complex interaction between system and process on one hand and between system, process and exogenous perturbation on the other hand can simply be represented graphically by a dynamic Bayesian network. With their extended tool, known as influence diagrams (ID) that integrate actions or decisions possibilities, one can analyze and optimize a maintenance policy and/or make reactive decision during an accident by simulating different scenarios of its evolution for instance.

The working relationship between industrial partners often begins with a bidding procedure by which a costumer chooses a provider of works or services. From the bidder point of view, there are several risks when responding because he must propose an offer for a future development. In this context, considering the whole project cycle is essential to identify all potential risks and take them into account during the development of the technical and commercial offer. In this paper, a methodology for bidding process risk management (BPRM) is presented. It is based on the experience acquired during past projects in order to manage the risks of current BP and make it more efficient.

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This paper deals with the collaborative decision making induced or facilitated by Information and Communication Technologies (ICTs) and their impact on decisional systems. After presenting the problematic, we analyse the collaborative decision making and define the concepts related to the conditions and forms of collaborative work. Then, we explain the mechanisms of collaborative decision making with the specifications and general conditions of collaboration using the modelling formalism of the GRAI method. Each specification associated to the reorganisation of the decisional system caused by the collaboration is set to the notion of decision-making centre. Finally, we apply this approach to the e-maintenance field, strongly penetrated by the ICTs, where collaborations are usual. We show that the identified specifications allow improving the definition and the management of collaboration in e-maintenance.