COOPERATION SUPPORT IN A DYADIC SUPPLY CHAIN

To improve the supply chains performance, taking into account the customer demand in the tactical planning process is essential. It is more and more difficult for the customers to insure a certain level of demand over a medium term period. Then it is necessary to develop methods and decision support systems to reconcile the order and book processes. In this context, this paper aims at introducing a collaboration support tool and methodology dedicated to a dyadic supply chain. This approach aims at evaluating in term of risks different demand management strategies within the supply chain using a simulation dedicated tool. The evaluation process is based on an exploitation of decision theory and game theory concepts and methods.supply chain ; simulation ; collaboration ; decision theory ; risk

DESIGN OF COOPERATIVE PROCESSES IN A CUSTOMER-SUPPLIER RELATIONSHIP: AN APPROACH BASED ON SIMULATION AND DECISION THEORY

Performance improvement in supply chains, taking into account customer demand in the tactical planning process is essential. It is more and more difficult for the customers to ensure a certain level of demand over a medium term horizon as their own customers ask them for personalisation and fast adaptation. It is thus necessary to develop methods and decision support systems to reconcile the order and book processes. In this context, this paper intends firstly to relate decision under uncertainty and the industrial point of view based on the notion of risk management. This serves as a basis for the definition of an approach based on simulation and decision theory that is dedicated to the design of cooperative processes in a customer-supplier relationship. This approach includes the evaluation, in terms of risk, of different cooperative processes using a simulation-dedicated tool. The evaluation process is based on an exploitation of decision theory concepts and methods. The implementation of the approach is illustrated on an academic example typical of the aeronautics supply chain.supply chain, simulation, cooperation, decision theory, risk

Determinants of Desired Career Paths among Canadian Engineers

The goal of this research is to study five career paths available to engineers and to understand what leads them to prefer the management path to other career path possibilities (i.e. the technical path, the project-based path, the entrepreneurial path, and the hybrid path). A questionnaire survey was conducted using a sample of 900 male and female engineers from a large Canadian province. The0501n results show that several determinants under study (mainly individual-related factors, such as career anchors and education) effectively distinguish engineers who want to pursue a management path from those who choose other career paths, especially technical ones Cette recherche vise à étudier six orientations que les ingénieurs peuvent vouloir donner à leur carrière et à comprendre ce qui les amène à privilégier certains choix de carrière. Les possibilités de carrière retenues sont la voie de gestion, la voie technique, la voie de projet, la voie entreprenieuriale, la voie hybride et une nouvelle carrière. Une enquête par questionnaire a été réalisée auprès de 900 ingénieurs à travers le Québec, dont 403 femmes. Les résultats démontrent principalement que plusieurs des facteurs étudiés (principalement les facteurs individuels comme les ancres de carrière et la scolarité) permettent de distinguer efficacement les ingénieurs qui désirent poursuivre une carrière en gestion de ceux qui aspirent à d'autres voies de carrière.Engineers, career, career path, entrepreneurial career, career anchor, Ingénieurs, carrière, voies de carrière, changement de carrière

A self-mixing laser sensor design with an extended kalman filter for optimal online structure analysis and damping evaluation

We have developed a new algorithm based on the extended Kalman filter, in order to improve the resolution of an optical displacement sensor. This new non contact sensor which provides vibration measurement with a very good accuracy might be used for online quality control by measuring the damping of excited mechanical structure. This self-mixing sensor subject to weak feedback has been tested in comparison with a commercial vibrometer, to measure the frequency response function of a plate with a passive damping to be characterized, in order to show the efficiency of a damping treatment

AIDE À LA PLANIFICATION AVEC INCERTITUDE, IMPRÉCISION ET INCOMPLÉTUDE SUR LA DEMANDE

10 pages. Papier soumis et accepté à MOSIM 2008La prise en compte de la demande client pour la planification tactique dans les chaînes logistiques est un enjeu crucial pour leur bon fonctionnement. L'environnement concurrentiel actuel rend difficile l'engagement des clients sur le moyen terme. Dès lors, il est nécessaire de développer des méthodes et outils pour s'adapter au mieux à une demande fluctuante. Dans ce contexte, cet article s'attache à appliquer à la gestion de la demande une terminologie issue de la théorie de la décision sous incertitude. Les liens entre cette terminologie et une approche industrielle basée sur la notion de risques sont présentés. Ensuite, un outil de simulation orienté sur la relation clientfournisseur est présenté. Cet outil a pour objectif d'évaluer, grâce à un ensemble de critères d'aide à la décision dont l'application est rendue possible par la démarche étymologique initiale, de guider un décideur sur ses choix en matière de planification. Cette orientation est basée à la fois sur une évaluation des gains possibles suite à l'application d'une stratégie de planification donnée mais aussi au degré d'optimisme associé au sens du critère d'Hurwicz

Health status, Neighbourhood effects and Public choice: Evidence from France

Observation of socioeconomic statistics between different neighbourhoods highlights significant differences for economic indicators, social indicators and health indicators. The issue faced here is determining the origins of health inequalities: individual effects and neighbourhood effects. Using National Health Survey and French census data from the period 2002-2003, we attempt to measure the individual and collective determinants of Self-Reported Health Status (SRH). By using a principal component analysis of aggregated census data, we obtain three synthetic factors called: "economic and social condition", "mobility" and "generational" and show that these contextual factors are correlated with individual SRHs. Since the 80s, different French governments have formulated public policies in order to take into account the specific problems of disadvantaged and deprived neighbourhoods. In view to concentrating national assistance, the French government has created "zones urbaines sensibles" (ZUS) [Critical Urban Areas, CUA]. Our research shows that in spite of implementing public policy in France to combat health inequalities, by only taking into account the CUA criterion (the fact of being in a CUA or not), many inequalities remain ignored and thus hidden.Health, Neighbourhood Effect, Housing policy

Design of Cooperative Processes in a Customer-Supplier Relationship: An Approach Based on Simulation and Decision Theory

Performance improvement in supply chains, taking into account customer demand in the tactical planning process is essential. It is more and more difficult for the customers to ensure a certain level of demand over a medium term horizon as their own customers ask them for personalisation and fast adaptation. It is thus necessary to develop methods and decision support systems to reconcile the order and book processes. In this context, this paper intends firstly to relate decision under uncertainty and the industrial point of view based on the notion of risk management. This serves as a basis for the definition of an approach based on simulation and decision theory that is dedicated to the design of cooperative processes in a customer-supplier relationship. This approach includes the evaluation, in terms of risk, of different cooperative processes using a simulation-dedicated tool. The evaluation process is based on an exploitation of decision theory concepts and methods. The implementation of the approach is illustrated on an academic example typical of the aeronautics supply chain.Comment: Soumis et accept\'e \`a EAAI en attente publicatio

AIDE À LA PLANIFICATION AVEC INCERTITUDE, IMPRÉCISION ET INCOMPLÉTUDE SUR LA DEMANDE

La prise en compte de la demande client pour la planification tactique dans les chaînes logistiques est un enjeu crucial pour leur bon fonctionnement. L'environnement concurrentiel actuel rend difficile l'engagement des clients sur le moyen terme. Dès lors, il est nécessaire de développer des méthodes et outils pour s'adapter au mieux à une demande fluctuante. Dans ce contexte, cet article s'attache à appliquer à la gestion de la demande une terminologie issue de la théorie de la décision sous incertitude. Les liens entre cette terminologie et une approche industrielle basée sur la notion de risques sont présentés. Ensuite, un outil de simulation orienté sur la relation clientfournisseur est présenté. Cet outil a pour objectif d'évaluer, grâce à un ensemble de critères d'aide à la décision dont l'application est rendue possible par la démarche étymologique initiale, de guider un décideur sur ses choix en matière de planification. Cette orientation est basée à la fois sur une évaluation des gains possibles suite à l'application d'une stratégie de planification donnée mais aussi au degré d'optimisme associé au sens du critère d'Hurwicz.simulation ; horizon glissant ; planification ; risques

Robust Production Plan with Periodic Order Quantity under Uncertain Cumulative Demands

International audienceIn this paper, we are interested in a production planning process in collaborative supply chains. More precisely, we consider supply chains, where actors use Manufacturing Resource Planning process (MRPII). Moreover, these actors collaborate by sharing procurement plans.We focus on a supplier, who applies the Periodic Order Quantity (POQ) rule to plan a production integrating the uncertain procurement plan sent by her/his customer. The uncertainty of the procurement plan is expressed by closed intervals on the cumulative demands. In order to choose a robust production plan, under the interval uncertainty representation, the min-max criterion is applied. We propose algorithms for determining the set of possible costs of a given production plan - due to the uncertainty on the cumulative demands.We then construct algorithms for computing a robust production plan with respect to the min-max criterion: the algorithm based on iterative adding constraints and the polynomial algorithms under certain realistic assumptions

Modelling of ill-known requirements and integration in production planning

Making decisions on the base of uncertain forecasts is one of the key challenges for efficient Supply Chain Management. This article suggests the use of the theory of possibility for building a procurement plan on the base of ill-known requirements. These requirements, expressed in quantities by date, may come from various sources: forecasts or orders for instance. The possible types of imperfection pervading requirement are analysed and a unified representation model is suggested. A method is then described for calculating a plausible demand by period without loss of information; it is illustrated on an example in the last section