The Physical Internet will induce organizational changes while Cyber-Physical Systems will lead to major technological changes. Their combination allows us to propose Cyber-Physical Logistics Systems based on a holonic approach of self-organization of actors. After a description of the concepts and paradigms underlying this proposal, the latter is detailed. A structural and decisional model is thus described. Validation will be carried out via a demonstrator which is presented.
In this paper, we are interested in inventory management of labile blood products. This is a major concern for blood establishments and health professionals, despite the progress made in the field of blood transfusion. We propose a comparative analysis of the literature. We explain first the main problems inherent in blood products storage process identified in the literature. Then we propose a reading grid to classify and analyze this work according to several criteria: the nature of the products (platelets, red blood cells and whole blood), the objective of the study, the used methods and models and finally the parameters taken into account in the studied papers.
In this paper, we present a diagnostic approach for partially observable Petri nets based on the formalization of fault indicators under the algebraic form (min, max, +). The faults are modeled by certain unobservable transitions, and the occurrence of a fault is equivalent to the firing of the associated transition. The Fourier-Motzkin elimination algorithm is applied off-line for the generation of fault indicators used on-line for fault diagnosis in a polynomial time. This approach allows anticipating the system state (faulty, no-faulty, uncertain) for each observed transition of the observation. A comparison with the diagnostic technique using the classical form of linear programming problems shows the effectiveness of our approach. The diagnostic system is a module operating in parallel with the classical approach.
The continuous search for flexibility leads companies to implement reconfigurable supply chains. In this article, we focus on the reconfiguration of supply chains through the business processes that compose them. We propose an approach of reconfiguration based on an integrated QFD (Quality Function Deployment)/AHP (Analytic Hierarchy Process) model that allows to determine the processes, activities, roles and actors that require reconfigurations. Our aims is to determine the appropriate reconfiguration scenario and the process that should be reconfigured as a priority.
Industry 4.0 is concerned with sustainable development constraints. In this context, we propose a multi-agent architecture, named EasySched, aiming at elaborating predictive and reactive scheduling as the result of a coordination between systems producing goods and systems producing renewable energy. The validation of this architecture is original, and was conducted in a completely and physically distributed way, using networked embedded systems. This validation was done on a series of instances inspired by the literature. The results showed that EasySched succeeds in adapting the production of goods according to the available renewable energy.