Thi Le Hoa Vo

La mutualisation logistique: entre théories et pratiques

L’environnement dans lequel évoluent les entreprises change (marchés qui stagnent, concurrence plus forte, pression environnementale croissante, augmentation des coûts, notamment de transport...). Ces changements incitent les entreprises à adopter de nouvelles stratégies dans la gestion de leurs flux. La presse professionnelle se fait de plus en plus régulièrement l’écho de stratégies de mutualisation des flux. L’objet de ce travail est de proposer un cadre d’analyse reposant à la fois sur les études déjà réalisées mais aussi sur les cas d’entreprise mettant en place des pratiques collaboratives.

CSR collaboration in multi-level supply chains: a conceptual model

ABSTRACT This paper aims to study the role of supply chain (SC) collaboration in improving the performance of corporate social responsibility (CSR) implementation in a multi-level supply chain. By using a system dynamics approach, it attempts to find out the best form of CSR collaboration for a sustainable supply chain. The results show that SC collaboration via three sharing schemes – resources-sharing, cost-sharing and profit-sharing – plays a decisive role for efficient CSR implementation by improving the interests of individual members and the whole supply chain as well. This work allows the authors not only to have more insights into determining the best strategies to implement CSR in the supply chain but also to propose important solutions to build and boost supply chain management.

Forecasts impacts on sanitary risk during a crisis: a case study

Purpose – During a crisis situation, a poultry supply chain is faced with high variations on fresh chicken meat demand and has therefore to simultaneously manage excessive shelf-life stocks (in case of falling demand) and external purchases due to inventory shortages. In this case, the production plan is often established according to non-accurate sale forecasts which require ongoing adjustment. The paper aims to discuss these issues. Design/methodology/approach – By using system dynamics, the paper developed a model of the French poultry supply chain during a given avian influenza crisis period. The authors compared exponential smoothing forecasting method to a word-of-mouth diffusion model which makes sense in a sanitary crisis context. Findings – An interesting result shows a complex relationship between the sanitary risk (which increases according to the slaughtered chicken’s volume and storage time) and the additional external purchases (in case of low production generated by an insufficient forecasting launched 40 days before customer orders). Research limitations/implications – Additional costs which vary over time are required for further assumptions testing. Practical implications – The paper proposes to use a forecasting model which is not currently used by the professionals during a sanitary crisis period. This model is able to simulate an internal dissemination of a call for boycott of meat products (cf. negative word-of-mouth spread). Originality/value – The problem is how to maintain a less risky but significant buffer size to respond to a supply chain coping with both changes in customers’ demand and instability in production capacity. Keywords Quality, Forecasting, Supply chain management, Food industry, System dynamics, Push-pull supply chain, Sanitary risk Paper type Case study

Simulation et gestion de la chaîne logistique globale dans l'incertain: Application à une filière agro-alimentaire face à la crise sanitaire

La complexité et les incertitudes liées à l’environnement extérieur d’une chaîne logistique exigent aujourd’hui une gestion de plus en plus complexe de la chaîne globale. Modélisation et simulation sont devenues des méthodes courantes d’amélioration et de pilotage de chaînes logistiques, notamment pour les chaînes qui sont dans des situations de déséquilibre et d’instabilité. Cet article essaye donc de mettre en évidence le rôle important de ces outils dans la gestion de la chaîne logistique globale, principalement les chaînes logistiques multi-échelons, en illustrant une application de la simulation dynamique d’une filière agroalimentaire dans un contexte de crise sanitaire.