Relations industrielles

Résumé

Les relations industrielles (ou parfois « relations professionnelles ») désignent la discipline qui étudie les phénomènes du monde du travail. Les fonctions propres au champ des relations industrielles sont: les relations de travail, la gestion des ressources humaines, les politiques publiques de l'emploi et la santé et sécurité du travail.Mais on ne doit pas confondre < Relations Industrielles >> et < Gestion des Ressources Humaines >> car les relations industrielles consistent à établir des relations entre les parties prenantes , tandis que la gestion des ressources humaines essaye d'utiliser des ressources humaines pour atteindre les buts et objectifs de l'organisation , dans un domaine organisationnel . Les fonctions des relations industrielles sont susceptibles d'être exercées tant à l'intérieur des syndicats ouvriers que patronaux, que dans les entreprises, privées ou publiques, de production de biens ou de services, ou encore au sein de divers organismes et

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Lessons learned from the lifecycle management of collaborative enterprises networks: The case of Swiss Microtech

Naoufel Cheikhrouhou, Michel Pouly

Purpose – Research on the dynamics of Collaborative Enterprises Networks (CEN) lacks consistency and industrial feedback. The purpose of this paper is to present insights and lessons learned from an industrial case study dealing with the practical experience gathered during the creation, alliance development, and business operation phases of a CEN. Design/methodology/approach – The proposed research methodology relies on qualitative approach, using unstructured interviews with the main decision makers in the network. The objective of the interviews is to highlight the most important events in the lifecycle of the network. From the important elements discussed, success and failure key factors are identified. Findings – Through the case study, the authors identify the main success and failure key factors to consider in CENs. Furthermore, relying on the current state of the art, they highlight the main research directions, particularly with respect to the development of modelling approaches capturing the dynamics of these systems. Originality/value – The identification of the success and failure key factors and their corresponding technologies, systems and human perspectives is aimed at providing links between theoretical models and practical implications to both academics and industrialists. The challenges and developmental areas proposed provide the basis for new models capturing the dynamics and the evolution of CENs.

2012

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Demand forecasting consists of using data of the past demand to obtain an approximation of the future demand. Mathematical approaches can lead to reliable forecasts in deterministic context, extrapolating regular patterns in series. However unpredictable events that do not appear in the historical data can make the forecasts obsolete. As forecasters have a partial knowledge of the context and probable future events (such as strikes, promotions), this work investigates structuring the implicit as well as the explicit knowledge in order to be easily and fully integrated into final forecasts. This paper presents a judgmental-based approach in forecasting where mathematical forecasts are considered as a basis and the structured knowledge of the experts is provided to adjust the initial forecasts. This is achieved using the identification of four factors characterizing specific events that could not have been considered in the initial forecasts. The validation of this approach has been conducted on 2 industrial case studies, a plastic bag manufacturer and a distributor on the food market. The results show that structuring the expert knowledge could lead not only to high improvements of forecasts accuracy but also to a better initial data cleaning and outlier identifications.

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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A Markovian model for the hybrid manufacturing planning and control method ‘Double Speed Single Production Line’

Naoufel Cheikhrouhou, Rémy Glardon, Christoph Hachen

In this paper, the hybrid production planning & control method Double Speed Single Production Line (DSSPL) is presented, modelled and its performances evaluated and compared to classical Production Planning and Control methods (PPC). DSSPL combines JIT/kanban and Material Requirement Planning for the production of different classes of products (A-and B-items based on a market or customer oriented analysis) on one single production line. By the use of a Markovian birth-death queuing model of a single-stage, two-product production system, the performance and the behavior of the basic DSSPL concept are analyzed and compared to the classical MRP concepts. Its capability to cope with limited resources is illustrated with an industrial case study where DSSPL has been implemented to solve coordination problems between a plastic molding feeder shop and the final assembly line of a micromotor producer. (C) 2009 Elsevier Ltd. All rights reserved.

Elsevier2009

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