This paper presents a holonic and isoarchic approach to the FMS (Flexible Manufacturing System) control. This approach is based on a flat holonic form, where each holon is a model for each entity of the FMS, with a unifying level of communication between holons. After description of this model, called PROSIS, the interaction protocol and decision rules are presented. The objective is to increase the FMS productivity and flexibility, particularly on responsiveness aspects. This responsiveness is achieved through decentralized generation of the production tasks. The reactive behaviour of the FMS control is illustrated by the example of a flexible turning cell, upon occurrence of a failure or of an urgent batch order, and the resulting Gantt charts are shown.
Development of future industry has become an active research area in the recent years. A structured national workgroup, called IMS², has emerged in France over the last decade. The aim of this paper is, regarding four highlighted general research topics (namely agility, new technologies, sustainability and industrial dissemination), to synthetize the general research works on intelligent manufacturing and to demonstrate the principal contributions developed within the framework of this national workgroup. After a critical evaluation of the proposed approaches towards alternative solutions, this paper suggests a 2030 roadmap for the workgroup.
Faced with international competition, industrial production increasingly requires implementation conditions which, in some cases, lead to seek new techniques for workshop control. This is the case when it is asked to establish Just in Time management in a Job Shop having the characteristics of working with small series. A new approach for the organization of the 'control' function in such a context is presented here. This approach relies on the use of the holonic paradigm on an isoarchic architecture and on a decision-making capacity based on a multicriteria analysis. The various concepts of this approach are addressed first. Then, the multicriteria decision mechanisms that are used are detailed, as well as the implementation and instrumentation phases. The first results that were obtained are presented.
Nous présentons dans ce papier les conditions pour lesquelles un système artificiel constitué d'entités mécatroniques peut être lui-même qualifié de mécatronique. Nous montrons que c'est le cas lorsque l'intelligence conférée aux dites entités leur permet de faire fonctionner ce système sans l'intervention d'un centre de pilotage de niveau hiérarchique supérieur. Le principe général de l'affectation de tâches est basé sur un mécanisme de sélection de la meilleure réponse à un appel d'offres diffusé auprès de toutes les entités pour chaque tâche à effectuer. L'approche holonique nous fournit un support conceptuel pour proposer un système générique de pilotage auto-organisé et isoarchique, adapté aux systèmes mécatroniques complexes et fondé sur l'existence d'un pilotage autonome associé au sein de chaque entité mécatronique. Pour conclure, nous présentons un éventail de systèmes que nous pouvons considérer de par leur système de pilotage comme étant des systèmes mécatroniques complexes… ABSTRACT. In this paper, we present the conditions for which an artificial system constituted by mechatronic entities can be it self considered as mechatronic. We show that it is the case when the intelligence conferred to the entities allows them to operate this system without the intervention of a control centre on a higher hierarchical level. The general principle of the tasks assignment is based on the selection of the best response to call for proposal launched all the entities for each task to be made. The holonic approach provides a conceptual support to propose a generic system of self organized and isoarchic control. This control system is adapted to the complex mechatronic systems and based on the existence of an autonomous control associated to each mechatronic entity. To conclude, we present some complex mechatronic systems that have such control system.
Control of operational production systems requires a reaction to disturbances. In this paper, the authors present a Petri net model describing a decision-making mechanism induced by the breakdown of a machine. The aim of such a proposal is to reassign the operations to the workshop's resources. A decision-making aid methodology is essential to consider the disturbances according to several criteria. Therefore, the authors propose a Petri net model composed of Deterministic and Stochastic Petri nets (DSPN) and Object Petri nets (OPN). The decision-making process is based on the introduced concept of 'potential' associated with each machine. This potential is evaluated by means of several criteria to take the 'right' decision. In this study, the three following criteria are retained: Time, Cost, and machine reliability. A state of the art survey about the multicriteria decision aid methods has led to the choice of a method called AHP (Analytic Hierarchy Process). The authors thus present a multicriteria algorithm, based on the AHP method, developed for the reassignment of the operations that are blocked following a machine breakdown. The reassignment of the blocked operation is carried out on the machine providing 'the best' compromise between the three criteria.
PurposeThis research paper proposes that the conduct of supplier relationships can be improved through a “self‐organized logistical network”.Design/methodology/approachAn analysis has been conducted on logistical supply chain which ensures to define a self‐organized logistical network. In such a network, each supplier can evaluate its own performance by using a decision‐making method involving multiple criteria. Indeed, such method is therefore recommended to reach a satisfactory solution. For that, a typology of performance was proposed and a multiple criteria method was chosen. Indeed, among several methods available, the Analytic Hierarchy Process (AHP) method has been chosen.FindingsThe paper suggests quantifying an evaluation of each potential supplier who responds to a call for proposal from a customer, according to rules and criteria that are impartial and common to all. The process enables the emergence of the “best” supplier. The proposed approach allows a balance to be achieved between load and capacity at the supplier level, and produces a smoothing of the load curve among the various suppliers with the long‐term objective of establishing a fair system among the suppliers on the network. Our approach suggests a customer‐supplier (C‐S) relationship control where all entities C‐S partners, communicate and negotiate to respond as best as possible to the customers requirements. To each supplier, we associate a decision‐making centre through which he can self evaluate his performance in order to be able to take part to negotiations within a self organized logistical network.Originality/valueThe research focuses particularly on the study of the decision‐making centre.
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