13,552 research outputs found

    Distributed machining control and monitoring using smart sensors/actuators

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    The study of smart sensors and actuators led, during the past few years, to the development of facilities which improve traditional sensors and actuators in a necessary way to automate production systems. In an other context, many studies are carried out aiming at defining a decisional structure for production activity control and the increasing need of reactivity leads to the autonomization of decisional levels close to the operational system. We suggest in this paper to study the natural convergence between these two approaches and we propose an integration architecture dealing with machine tool and machining control that enables the exploitation of distributed smart sensors and actuators in the decisional system

    A Generic Conceptual Model for Risk Analysis in a Multi-agent Based Collaborative Design Environment

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    Organised by: Cranfield UniversityThis paper presents a generic conceptual model of risk evaluation in order to manage the risk through related constraints and variables under a multi-agent collaborative design environment. Initially, a hierarchy constraint network is developed to mapping constraints and variables. Then, an effective approximation technique named Risk Assessment Matrix is adopted to evaluate risk level and rank priority after probability quantification and consequence validation. Additionally, an Intelligent Data based Reasoning Methodology is expanded to deal with risk mitigation by combining inductive learning methods and reasoning consistency algorithms with feasible solution strategies. Finally, two empirical studies were conducted to validate the effectiveness and feasibility of the conceptual model.Mori Seiki – The Machine Tool Compan

    Recent developments and future trends of industrial agents

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    The agent technology provides a new way to design and engineer control solutions based on the decentralization of control over distributed structures, addressing the current requirements for modern control systems in industrial domains. This paper presents the current situation of the development and deployment of agent technology, discussing the initiatives and the current trends faced for a wider dissemination and industrial adoption, based on the work that is being carried out by the IEEE IES Technical Committee on Industrial Agents

    Implementation and validation of a holonic manufacturing control system

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    Flexible manufacturing systems are complex, stochastic environments requiring the development of innovative, intelligent control architectures that support agility and re-configurability. ADACOR holonic control system addresses this challenge by introducing an adaptive production control approach supported by the presence of supervisor entities and the self-organization capabilities associated to each ADACOR holon. The validation of the concepts proposed by ADACOR control system requires their implementation and experimental testing, to analyze their correctness, applicability and merits. This paper describes the implementation of ADACOR concepts in a flexible manufacturing system, verifies their correctness and applicability, and evaluates the ADACOR control system performance, considering not only quantitative indicators directly related to production parameters, e.g. manufacturing lead time, but also qualitative indicators, such as the agility

    Organization of Multi-Agent Systems: An Overview

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    In complex, open, and heterogeneous environments, agents must be able to reorganize towards the most appropriate organizations to adapt unpredictable environment changes within Multi-Agent Systems (MAS). Types of reorganization can be seen from two different levels. The individual agents level (micro-level) in which an agent changes its behaviors and interactions with other agents to adapt its local environment. And the organizational level (macro-level) in which the whole system changes it structure by adding or removing agents. This chapter is dedicated to overview different aspects of what is called MAS Organization including its motivations, paradigms, models, and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page

    Engineering of service-oriented automation systems: a survey

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    The evolution of manufacturing systems and the emergence of decentralised control require flexibility at various levels of their lifecycle. New emerging methods, such as multi-agent and service-oriented systems are major research topics in the sense of revitalizing the traditional production procedures. This paper takes an overview of the serviceoriented approach in terms of platform and engineering tools, from the perspective of automation and production systems. From the basic foundation to the more complex interactions, service-oriented architectures and its implementation in form of web services provide diverse and quality proved features that are welcome to different states of the production systems’ life-cycle. Key elements are the concepts of modelling and collaboration, which enhance the automatic binding and synchronisation of individual low-value services to more complex and meaningful structures. Such interactions can be specified by Petri nets, a mathematically well founded tool with features that enhance towards the modelling of systems. The right application of different methodologies together should motivate the development of service-oriented manufacturing systems that embrace the vision of collaborative automation.The authors would like to thank the European Commission and the partners of Network of Excellence “Innovative Production Machines and Systems” (http://www.iproms.org/) and the SOCRADES project (http://www.socrades.eu) for their support.info:eu-repo/semantics/publishedVersio

    Integration Of Information Technology And Simulation For Managing Manufacturing-Logistics Network

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    This paper helps investigate the integration of information technology (IT) and simulation in order to help understand how to set reliable delivery dates in manufacturing-logistics networks.  This integration is necessary to assist organizations involved in the network to help plan and control their operations more efficiently.  The authors reviewed previous work in the areas of IT-oriented logistics, real time simulation, and due date assignment.  We describe a general architecture for a real-time simulation-based system and create a prototype based on our architecture.  An application of the prototype in a small manufacturing company is employed.  The prototype implemented was for a local manufacturer of made-to-order safety windows with three manufacturing plants and a one office location, all within a 50-mile radius.  The prototype for this company was developed utilizing a Boreland’s Delphi 3 application development tool.  The reason that a distributed simulation model was not implemented was that we focused on validating the most critical components of our architecture using a simple prototype as our initial validation effort.  The following possible advantages of our architecture were identified: *        The architecture can use the most up-to-date operational data to make decisions regarding delivery date assignment and network management.*        The architecture can support both central and distributed environments. *        The prototype developed based on the architecture could assign tight delivery dates.*        The prototype could be used to maintain or increase the level of on-time deliveries by monitoring the operations.*        The prototype could generate options on delivery dates and cost based on routings/priority and transportation service options.&nbsp
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