Daniel Noyes

Knowledge reuse integrating the collaboration from experts in industrial maintenance management

Collaborative maintenance management and problem solving in industrial environments.Case based reasoning as the process for using past experiences to solve new problems.Conceptual graphs for knowledge representation and visual reasoning using taxonomy.Transferable belief model for collaborative decision making/risk based maintenance.Methodological aspects linked to functionality (e.g. diagnosis or health assessment). Distributed environments, technological evolution, outsourcing market and information technology (IT) are factors that considerably influence current and future industrial maintenance management. Repairing and maintaining the plants and installations requires a better and more sophisticated skill set and continuously updated knowledge. Today, maintenance solutions involve increasing the collaboration of several experts to solve complex problems. These solutions imply changing the requirements and practices for maintenance; thus, conceptual models to support multidisciplinary expert collaboration in decision making are indispensable. The objectives of this work are as follows: (i) knowledge formalization of domain vocabulary to improve the communication and knowledge sharing among a number of experts and technical actors with Conceptual Graphs (CGs) formalism, (ii) multi-expert knowledge management with the Transferable Belief Model (TBM) to support collaborative decision making, and (iii) maintenance problem solving with a variant of the Case-Based Reasoning (CBR) mechanism with a process of solving new problems based on the solutions of similar past problems and integrating the experts beliefs. The proposed approach is applied for the maintenance management of the illustrative case study.

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Capitalization and sharing of lessons learned play an essential role in managing the activities of industrial systems. This is particularly the case for the maintenance management, especially for distributed systems often associated with collaborative decision-making systems. Our contribution focuses on the formalization of the expert knowledge required for maintenance actors that will easily engage support tools to accomplish their missions in collaborative frameworks. To do this, we use the conceptual graphs formalism with their reasoning operations for the comparison and integration of several conceptual graph rules corresponding to different viewpoint of experts. The proposed approach is applied to a case study focusing on the maintenance management of a rotary machinery system.

Characterisation of collaborative decision making processes

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. u2003Then, 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. u2003Finally, 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 improvement of the definition and the management of collaboration in e-maintenance.

Problem solving methods as Lessons Learned System instrumentation into a PLM tool

Among the continuous improvement tools of the performance in enterprise, the experience feedback represents undoubtedly an effective lever of progress by offering important prospects for a progression in almost all the industrial sectors. However, several reserves to its use slow down the diffusion of its employment. We are interested in the installation of experience feedback system in a partner enterprise. In this paper, we propose an instrumentation of a Lessons Learned System (LLS) by problem solving methods (PSM) and its integration with a product lifecycle management (PLM). These proposals support an improvement of LLS performance and a facility of his application.

BPRM Methodology: Linking Risk Management and Lesson Learnt System for Bidding Process

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.