Rémy Glardon

Né en 1950, originaire de Vallorbe (VD). Il étudie à l'EPFL où il obtient un diplôme d'ingénieur en 1973 et le titre de docteur es sciences techniques en 1977. Il rejoint en janvier 1979 l'University of California à Berkeley où il entreprend des travaux dans le domaine de l'usure et de la mécanique de rupture. A partir de 1982 il occupe différents postes dans le management, d'abord dans l'assurance de qualité, puis dans la production et la logistique au sein de la société Mettler-Toledo à Greifensee, ZH.

Il rejoint, en 1990, l'entreprise Amysa à Yverdon où il occupe le poste de directeur technique.

En 1993, il est nommé directeur des opérations et membre du comité de direction du groupe Portescap à La Chaux-de-Fonds. Il y dirige toutes les unités opérationnelles de l'entreprise et, en tant que tel, entreprend une réorganisation visant à améliorer les performances de la logistique et de l'outil de production de manière à mieux répondre aux besoins du marché.

Depuis 1995 il est professeur extraordinaire de gestion et processus de production au Département de génie mécanique. Ses travaux de recherche portent en particulier sur la modélisation et la simulation de la production et de la logistique interne, sur le développement des techniques de Rapid Manufacturing et Rapid Tooling, ainsi que sur l'intégration de procédés d'usinage non-traditionnels (EDM, ECM).

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Gestion de la chaîne logistique

thumb|400px|La chaîne logistique: complexe et dynamique(cf. Wieland/Wallenburg, 2011). La gestion de la chaîne logistique (GCL; en anglais, supply chain management ou SCM) est un savoir-faire d'appli

Supply chain

A supply chain, sometimes expressed as a "supply-chain", is a complex logistics system that consists of facilities that convert raw materials into finished products and distribute them to end consume

Simulation informatique

vignette|upright=1|Une simulation informatique, sur une étendue de , de l'évolution du typhon Mawar produite par le Modèle météorologique Weather Research and Forecasting La simulation informatique

A pilot study on eliciting human operations decision in purchasing and measuring their impact on supply chain efficiency

Yvonne Badulescu, Rémy Glardon, Souleïman Naciri, Min-Jung Yoo

This paper presents a methodology for eliciting the behavioural model of purchasers' decision-making in a supply chain environment. The objective of the work is to explicitly describe the relationship between a human user's behaviour and the resulting performance in inventory level and service satisfaction. The key research findings include: (i) How to identify a categorised pattern of a human decision model, particularly concerning purchasing operations; and (ii) Which metrics would be relevant in the objective of carrying out a quantitative analysis on decision behaviour. The order placement behaviour is studied as one of daily operational decisions. The work demonstrates how to analyse a potential relationship between each category of behaviour and selected measures of supply chain performance, i.e., average inventory level and delivery satisfaction. We developed a specialised tool for supply chain simulation aimed at collecting data such as information consultations and decision-making actions of purchasing operations. The methodology is composed of sub-processes, such as data log file generation, data parsing and information generation, behaviour profile identification through clustering, and the analysis of supply performance regarding each category of decision-making behaviour. Through experimentation with industrial purchasing agents, we validated the effectiveness of the approach and demonstrated how to achieve a quantitative analysis of decision making behaviour and its impact on supply performance. (C) 2017 Elsevier Ltd. All rights reserved.

Pergamon-Elsevier Science Ltd2017

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Model and metaheuristics for a scheduling problem integrating procurement, sale and distribution decisions

Rémy Glardon, Nicolas Zufferey

This paper presents an integrated approach for short-term supply chain management (SCM) at a fast moving consumer goods production plant. The problem is to determine the production quantities, to provide a detailed production schedule, to trigger the relevant express deliveries of raw material, and to manage the distribution. We propose a linear integer model, which integrates all of these decisions within scheduling. To find high quality solutions in a reasonable amount of time, various solution methods are proposed, such as a greedy constructive heuristic, two tabu search metaheuristics, a basic variable neighborhood search and an enhanced one, which uses a variable shaking operator. Experiments on realistic instances show that the latter method is efficient and robust. This paper is a contribution to the SCM literature (indeed, only few references address the integration of short term decisions) and to the general metaheuristics field (as the variable neighborhood search paradigm is extended).

Springer2017

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Ant Metaheuristic with Adapted Personalities for the Vehicle Routing Problem

Jaime Farres, Rémy Glardon, Nicolas Zufferey

At each generation of an ant algorithm, each ant builds a solution step by step by adding an element to it. Each choice is based on the greedy force (short term profit or heuristic information) and the trail system (central memory which collects information during the search process). Usually, all the ants of the population have the same characteristics and behaviors. In contrast in this paper, a new type of ant metaheuristic is proposed. It relies on the use of ants with different personalities. Such a method has been adapted to the well-known vehicle routing problem, and even if it does not match the best known results, its performance is encouraging (on one benchmark instance, new best results have however been found), which opens the door to a new ant algorithm paradigm.

Springer Int Publishing Ag2015

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