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Jean-Pierre Kenné

Researcher at École de technologie supérieure

Publications -  155
Citations -  3656

Jean-Pierre Kenné is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Production planning & Preventive maintenance. The author has an hindex of 32, co-authored 144 publications receiving 3149 citations. Previous affiliations of Jean-Pierre Kenné include Tokyo Institute of Technology & École Normale Supérieure.

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Improving the Performance of Urban Waste Management Systems in the Context of a Closed-Loop Supply Chain

TL;DR: In this article , the authors considered a recycling strategy adapted to the need and urgency to reduce greenhouse gas emissions caused by global warming and proposed a model to optimize the profits of the circular manufacturing strategies while minimizing operational costs (collection, sorting, recycling), transport, GHG emissions and recycling).

On the integrated production and preventive maintenance problem in manufacturing systems with backorder

TL;DR: In this paper, a unified framework is developed allowing production and preventive maintenance to be jointly considered using an age-dependent optimization model, itself based on the minimization of an overall cost function; this cost function for its part includes inventory holding, backlog and preventive and corrective maintenance costs.

Modeling the integration of occupational health and safety risks with operational risks associated with autonomous and multi-skilled work performed in uncertain environments

TL;DR: In this paper, a model developed as a prototype for an information system that is based on data flow technique, skills characteristic of autonomous and multi-skilled workers, and which rests on systemic analysis of the technological sub-system prevalent within a firm.
Journal ArticleDOI

Failure Prediction and Intelligent Maintenance of a Transportation Company’s Urban Fleet

TL;DR: In this paper , an approach based primarily on the history of failures data and on the geographical data system was proposed to predict the date of failures for a fleet of vehicles in order to allow the maintenance department to efficiently deploy the proper resources; further, specific details regarding the origins of failures, and finally, give recommendations.