Agent-Based Systems for Manufacturing

Monostori, László; Váncza, József; Kumara, S.R.T.

doi:10.1016/j.cirp.2006.10.004

Cited by 585 publications

(259 citation statements)

References 153 publications

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“…These self-x characteristics will be reached by different methods from Artificial Intelligence and Artificial Life, e.g. multi-agent systems and swarm intelligence [69]. The application of autonomous subsystems is realised by recent information and communication technologies such as radio frequency identification (RFID), sensor technologies, wireless communication networks etc.…”

Section: I S T R I B U T E D P R O D U C T I O Nmentioning

confidence: 99%

Autonomous Processes in Assembly Systems

2007

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Today's assembly systems have to be flexible to adapt quickly to an increasing number and variety of products and changing demand volume. To manage these dynamics, flexible, reconfigurable, and autonomous assembly systems were proposed and partly realised in the last two decades. The flexibility and adaptability is realised by clustering the assembly system into subsystems and modules which get a certain degree of autonomy and control themselves in a decentralised way. This keynote paper will present the general principles of autonomy and the proposed concepts, methods and technologies to realise autonomous processes in assembly systems. Different approaches for design and autonomous operation of assembly will be explained and future trends towards fully autonomous components of an assembly system as well as autonomous parts and products will be discussed.

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Section: I S T R I B U T E D P R O D U C T I O Nmentioning

confidence: 99%

Autonomous Processes in Assembly Systems

2007

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“…There are numerous successful experiences with agent-based systems in industry [Kephart et al (2003), Parunak (2000). Rockwell Automation even develops agent-based systems where the agents run inside the PLC itself [Monostori et al (2006)] instead of on separate computers.…”

Section: Agentsmentioning

confidence: 99%

Evolvable Systems: An Approach to Self-X Production

Onori

Semere

Lindberg

2010

Advances in Intelligent and Soft Computing

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Current major road mapping efforts, such as ManuFuture, FutMan and EUPASS, have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. The essence of evolvability resides not only in the ability of system components to adapt to the changing conditions of operation, but also to assist in the evolution of these components in time such that processes may become self-X, x standing for one more desirable properties of a system subjected to a variable operation condition such as self-evolvable, self-reconfigurable, self-tuning, self-diagnosing, etc. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules integrated. To assist the development and life cycle issues, comprehensive methodological framework is being developed. A concerted effort is being exerted through European research projects in collaboration with European manufacturers, technology/equipment suppliers, and universities. After briefly stating the fundamental concepts of EPS, this paper presents current developments and applications.

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“…The concept also enables a fast exchange of the modules of the assembly line itself without undergoing complex reconfigurational steps [5].Currently agent based control systems are considered as an important approach in developing agile distributed production systems [6]. A software agent is a "computational system that is situated in a dynamic environment and is capable of exhibiting autonomous and intelligent behavior" [7]. Although the term agent and RAS go back to at least a quarter of a century ago they have barely made a significant breakthrough in the last decade.…”

Section: State Of the Art: From Automation Pyramid To Corporate Contrmentioning

confidence: 99%

Concept and implementation of an agent-based control architecture for a cyber-physical assembly system

Müller¹,

Vette²,

Hörauf³

et al. 2016

MATEC Web of Conferences

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Abstract. Today's production companies are challenged with: the assembly of different product variants with lot size of one on a single assembly line and the increase of product variants. The implementation of reconfigurable assembly systems with a modular design is a solution, which allows a flexible adaptation to different product variants. However, handling different assembly modules via specific communication protocols is limited by the current centralized control concepts. Therefore, this paper presents a concept for an agent-based control architecture. This concept uses coherent information starting from the planning process of the assembly system until the system is put into operation allowing a decentralized control. The decentralized agents in each station act as mediators between the modules and the assembly memory database enabling the product autonomous control throughout the assembly system. Moreover, the agent manages the data transfer for the modules with different specific syntaxes via respective communication protocols since a standardized communication protocol does not exist in industry. The concept is verified in a test assembly line for the production of small electronic components.

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Agent-Based Systems for Manufacturing

Cited by 585 publications

References 153 publications

Autonomous Processes in Assembly Systems

Autonomous Processes in Assembly Systems

Evolvable Systems: An Approach to Self-X Production

Concept and implementation of an agent-based control architecture for a cyber-physical assembly system

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