Abstract: Supply chains and more particularly supply chains networks are more
and more subjected to extreme dynamic operations, where it is asked to each actor more flexibility and reactivity on the one hand and a specialization bringing more productivity on the other hand. Companies try to achieve the common goal of satisfying customers’ needs through partnership. Negotiation between partners is thus required involving each partner management and production organization. This situation makes difficult to obtain the best response with respect to the need of
each customer. For that, a new approach is proposed for customer-supplier relationship control, in which the partnership is considered in the context of an association of potential suppliers within a network: an isoarchic control model for supply chains network based on a holonic architecture. The decision-making mechanism is produced thanks to the properties of a decision-making centre, called Autonomous Control Entity (ACE), associated to each actor of the logistic network, which makes it possible to quantify a multi-criteria evaluation. An implementation of the simulation of such a system is done via a distributed simulation environment HLA (High Level Architecture). A case study is presented.
Abstract: Ambient intelligence applied to manufacturing systems will deeply transform approaches to production organization and control. Infotronics technologies will enlarge the capabilities to interact, to react and to customize control systems with innovative possibilities that should already be envisaged and thoroughly studied. Indeed, beyond identification, traceability and security applications that are generally considered, these technologies offer the possibility to associate to each entity, constituting a production system, a decisional intelligence. Autonomy properties are thus associated to the entity. Under these new advances, a control system based on the holonic paradigm and an isoarchic architecture, named PROSIS (Product, Resource, Order, Simulation Isoarchical System), was proposed. This approach provides a range of ambient services to the holonic entities. The aim of this paper is to present the service oriented architecture in the PROSIS control system. After presenting the holonic control system (PROSIS) model, the ambient services that can be provided are described and the way these services could be delivered are presented.
Abstract: Ambient intelligence applied to manufacturing systems will deeply transform approaches to production organization and control. Infotronics technologies will enlarge the capabilities to interact, to react and to customize control systems with innovative possibilities that should already be envisaged and thoroughly studied. Indeed, beyond identification, traceability and security applications that are generally considered, these technologies offer the possibility to associate to each entity, constituting a production system, a decisional intelligence. Autonomy properties are thus associated to the entity. Under these new advances, a control system based on the holonic paradigm and an isoarchic architecture, named PROSIS (Product, Resource, Order, Simulation Isoarchical System), was proposed. This approach provides a range of ambient services to the holonic entities. The aim of this paper is to present the service oriented architecture in the PROSIS control system. After presenting the holonic control system (PROSIS) model, the ambient services that can be provided are described and the way these services could be delivered are presented.
Abstract: An approach that relies on the use of the holonic paradigm, on an isoarchic architecture and on a decision-making capacity based on a multicriteria analysis is presented. The various concepts of this approach are addressed first. Then, the multicriteria decision methods based on AHP (Analytic Hierarchy Process) and its generalization ANP (Analytic Network Process) are detailed, as well as the implementation phases. The first obtained results on a case study are presented.
Abstract: An approach that relies on the use of the holonic paradigm, on an isoarchic architecture and on a decision-making capacity based on a multicriteria analysis is presented. The various concepts of this approach are addressed first. Then, the multicriteria decision methods based on AHP (Analytic Hierarchy Process) and its generalization ANP (Analytic Network Process) are detailed, as well as the implementation phases. The first obtained results on a case study are presented.
