The rapid increase in the number of logistics service providers (LSPs) has become a reality in many developed countries, but also in developing economies as well. They now offer a wide range of services to their clients, and they create for them new value added services. Contemporary supply chains thus rely more and more on resource sharing among members, particularly between shippers and LSPs. Is the coordination among all companies involved in the supply chain operations able to achieve an efficient use of resources, particularly to avoid wastage and unnecessary duplication? The article focuses on this important topic, and is based on a field study conducted with 139 Vietnamese food manufacturers to evaluate their perceived logistical performance.
Failure Mode Effect Analysis (FMEA) is widely recognized as a powerful technique for reliability management in various areas. It is a specific tool for quality assurance, used to identify, assess, prioritize and mitigate failures modes for critical functions and/or components of a system before they occur. However, the conventional Risk Priority Number (RPN) method used for risk assessment and prioritization is absolutely criticized in the literature. To improve FMEA’s performance, Artificial Intelligence is often used in many studies, with fuzzy rule-base-systems in particular. The FMEA steps described in the literature mostly focus on identifying, detecting and assessing potential failure modes in a system. These steps don’t underline the control point notion witch is fundamental in an extended system. This control point concept is the basis of Hazard Analysis and Critical Control Point (HACCP) method for risk management. Besides, HACCP has successfully been combined with FMEA in order to improve its performance. Hazard Analysis and Critical Control Point is a systematic method for the identification, assessment and control of hazards. International organizations have recognized the successful use of this method for food safety management and its application is extended to medical area. In our study, we present an improved combined approach of FMEA and HACCP using a risk prioritization technique by Risk Priority Rank (RPR) so as to solve limits presented by the […]
The intercity trains -trains d’équilibre du territoire- have a territory purpose: to link together regions inaccessible through low or high speed railway services. This public service obligation was introduced by the French environmental law known as "Grenelle de l’environnement". They are operated at a deficit and fund by an income tax levied on SNCF and another tax on the highway tolls. But this configuration has reached its limits. Today’s territory planning policies are being challenged by the State, even though the intercity trains suffer from a financial deficit and have an obsolete rolling stock. The public service obligation of the intercity trains can also be put into perspective against the European issues of the fourth rail package. This article aims to put in perspective a method of analysis of the intercity trains using the complex systems theory and modelling. The modelisation appears as an idealized representation of the railway system in order to make it comprehensible, highlight some of its properties and provide some response on the issues previously identified.
While many studies were conducted to identify factors which predict carpooling behaviours, there is a scientific lack on the social representation of it. However, the representations are consensually recognized as preparation for action and links between representations and behaviours were highlighted many times. The objective of our study is to explore the dynamic between representation and carpooling behaviours. The analysis of the corpus collected from 281 individuals revealed two major differences between the representation of users and non-users: the constraints are more mentioned by non-users while users emphasize on the social aspect of them carpooling. These results are discussed in awareness carpooling project.