Le 4PL, une nouvelle déclinaison de l’entreprise en réseau?

Gilles PACHE, Professor at Aix-Marseille University, Assistant Director of CRET-LOG, Aix-en-Provence

Vehicle routing problems: state of the art and recent trends

Christian PRINS, Professor, University of Technology of Troyes

A smart environment for vehicle fleet management in the framework,of Intelligent Tansportation Systems

Mohammed ESSAAIDI, ENSIAS Director, IEEE Morocco Section Chair

Abstract      
Les grands développements des technologies de léinformation et de communication sont à la base déun grand nombre déapplication dans la logistique et dans la gestion de la Supply Chain (SC). Ces technologies touchent plusieurs domaines déapplications spécifiques tels que léidentification radio fréquence basée sur la technologie RFID, la localisation en outdoor par le biais des technologies telles que GPS et Galileo ainsi quéau niveau indoor avec des technologies telles que NFC (e.g. communications à champs proches), les communications mobiles et sans fils avec des technologies telles que WiFi, bluetooth, Wi-Media, GSM, 3G et 4G et les réseaux de capteurs sans fils (WSN). Par ailleurs, la collaboration de toutes ces technologies dans le cadre déun environnement déun syst ème de transport intelligent (i.e. ITS) constitue une étape cruciale dans le développement des technologies de support de la gestion de la SC et de la logistique. Cette conférence pléni ère sera dédiée à la présentation de ces différentes technologies, leurs normes et spécifications techniques ainsi que leurs différents domaines déapplications en relation avec la logistique et le management de la SC en précisant les diferents challenge de recherche en relation avec celles-ci.

Decomposition Methods for Network Design

Bernard Gendron, Professor at the University of Montréal

Abstract      

Network design applications are prevalent in transportation and logistics. We consider the multicommodity capacitated fixed-charge network design problem (MCND), a generic model that captures three important features of network design applications: the interplay between investment and operational costs, the multicommodity aspect, and the presence of capacity constraints. We focus on mathematical programming approaches for the MCND and present four classes of methods that have been used to solve large-scale instances of the MCND: a cutting-plane method, a Benders decomposition algorithm, Lagrangian relaxation approaches, and a column-and-row generation algorithm.

Biography

Bernard Gendron is a Professor at the Département d’informatique et de recherche opérationelle, Université de Montréal, and Director, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). His research interests include integer and combinatorial optimization, large-scale optimization and parallel computing, and location and network design problems applied to transportation, logistics, and telecommunications. He has held positions of Principal Scientist at ILOG, Paris, and of Visiting Professor at MIT, EPFL, Pisa, Nice-Sophia-Antipolis, Blaise-Pascal, Versailles and Valenciennes. He has served as Chair of the Canadian Operational Research Society (CORS), Chair of the Montreal Chapter of CORS, and Chair of the Section on Transportation Science & Logistics of INFORMS. He was awarded the CORS Practice Prize (2004), the CORS Service Award (2006) and the CORS Merit Award (2010). He is currently the Editor of INFOR.

The Impact of French, German, and Japanese FDI on Intra-East Asian Trade

Nathalie Aminian is an Associate Professor of Economics at the Faculty of International Affairs, University of Le Havre, France.

Abstract      

In this paper we first document the growing importance of intra-East Asian trade of parts and components. Out empirical analysis shows that FDI does play an important and independent role in facilitating the trade of parts and components as well as capital goods in East Asia. Although this is true for all three source countries: Japan, France and Germany, the magnitude of the impact of different sources of FDI in trade of parts and components is quite different. Japanese direct investment has a distinctly stronger influence on intra-East Asian trade relative to FDI from other countries

Biography

Nathalie Aminian is an Associate Professor of Economics at the Faculty of International Affairs, University of Le Havre, France. Nathalie Aminian previously served as Director of the Master Degree in International Business with a specialization in Foreign Trade and International Finance, University of Le Havre. She is a senior researcher at the Centre d’Etudes et de Recherches en économiE et gestioN logistiquE (CERENE) and co-organizes an International Conference series in collaboration with Inha University, Inchon, Korea. Her research interests cover international economic issues and regional economic and monetary cooperation in East Asia.

A Generalized Model for Applying Automatic Identification Technologies in Simulation Modeling

Farhad Moeeni, Professor in computer and information technology, Arkansas State University, USA

Abstract      

A generalized model for employing auto-id technologies to collect data during the model building phase of simulation studies is presented. RFID technologies such as passive systems can be used to increase data accuracy. Semi-passive RFID, on the other hand, can be integrated with sensors to collect and log sensor-generated data such as humidity, temperature, pressure, and so on to offer a richer view of systems‚ performance than what has been possible in the past. The cost of employing auto-id technologies is also an important issue for collecting data. The cost efficiency of mature data collection technologies such as bar coding will also be discussed. RFID systems, on the other hand, are more complex, are in the growth stage, and are naturally more expensive to implement but also provide unprecedented capabilities for data collection beyond what bar coding is capable of.

Biography

Dr Moeeni is professor of Computer and Information Technology and the Founding Director of the Automatic Identification Laboratory at Arkansas State University. He holds a M.S. degree in industrial engineering and a Ph.D. in operations management and information systems minor, both from the University of Arizona. His articles have been published in various scholarly outlets including Decision Sciences Journal, International journal of Production Economics, International Journal of Production Research, International Transactions in Operational Research, Quality Progress, and several others. He is a frequent guest lecturer on the subject of information systems at the Centre Franco Americain, University of Caen, France. Current research interests are primarily in the design, analysis and implementation of automatic identification for data efficiency and quality as well as real-time location sensing and tracking. Methodological interests include design of experiments, simulation modeling and operations research techniques. He is one of the pioneers in designing and teaching the subject of automatic identification within MIS programs. Dr Moeeni is on the Editorial Board of the International Journal of RF Technologies: Research and Applications.

Problèmes d’ordonnancement/bin-packing

Aziz Moukrim, Professeur, UTC de Compiègne, France

Abstract      

Ordonnancer c’est programmer l’exécution d’une réalisation en attribuant des ressources aux tâches et en fixant leurs dates d’exécution. La réalisation peut être un programme informatique ou le carnet des commandes d’un atelier. En conséquence, les tâches sont des processus informatiques ou des traitements de pièces par des machines, la ressource, des processeurs et de la mémoire, ou des machines et du personnel. En fait, tous les secteurs économiques sont concernés par les problèmes d’ordonnancement au sens large : les systèmes industriels de production, les systèmes informatiques, les systèmes administratifs, les systèmes de transport. L’objectif est de mettre au point des méthodes de résolution pour minimiser une fonction économique dépendant des dates d’achèvement des tâches. Ces problèmes d’ordonnancement sont très combinatoires.

Le problème de conditionnement dénommé Bin-Packing permet de modéliser de nombreux problèmes combinatoires. Il consiste à placer des objets dans un nombre minimum de containers d’une certaine capacité. Les problèmes de conditionnement ont de nombreuses applications dans l’industrie (découpage de panneaux de bois, de plaques de verre), mais aussi dans le domaine de la logistique (chargements de marchandises), de l’édition (mise en page de journaux), etc. Nous présentons les modèles de base ainsi que des généralisations motivées par des applications industrielles. Nous décrivons de nouveaux outils et techniques de modélisation et d’optimisation et faisons la connexion avec les problèmes d’ordonnancement.

Biography

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