HSCF: A holonic shop floor control framework for flexible manufacturing systems

Cheung, H. M. E.; Yeung, WK; Ng, HK; Fung, S. T. R.

doi:10.1080/095119200129975

Cited by 11 publications

(4 citation statements)

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“…Sugimura et al (1996) modelled the manufacturing operations using an object-oriented approach and propose a real-time scheduling mechanism for assembly lines. Cheung et al (2000) describes a holonic system where series of prototype holons are implemented for real-time scheduling tasks in an existing FMS. The ADDYMS (Butler and Ohtsubo, 1992) developed a dynamic scheduling mechanism for local resource allocation at the local work-cell level, using agents to represent physical resources.…”

Section: Architectures and Approachesmentioning

confidence: 99%

Agent-based distributed manufacturing control: A state-of-the-art survey

Leitão

2009

Engineering Applications of Artificial Intelligence

700

369

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a b s t r a c tManufacturing has faced significant changes during the last years, namely the move from a local economy towards a global and competitive economy, with markets demanding for highly customized products of high quality at lower costs, and with short life cycles. In this environment, manufacturing enterprises, to remain competitive, must respond closely to customer demands by improving their flexibility and agility, while maintaining their productivity and quality. Dynamic response to emergence is becoming a key issue in manufacturing field because traditional manufacturing control systems are built upon rigid control architectures, which cannot respond efficiently and effectively to dynamic change. In these circumstances, the current challenge is to develop manufacturing control systems that exhibit intelligence, robustness and adaptation to the environment changes and disturbances. The introduction of multi-agent systems and holonic manufacturing systems paradigms addresses these requirements, bringing the advantages of modularity, decentralization, autonomy, scalability and reusability. This paper surveys the literature in manufacturing control systems using distributed artificial intelligence techniques, namely multi-agent systems and holonic manufacturing systems principles. The paper also discusses the reasons for the weak adoption of these approaches by industry and points out the challenges and research opportunities for the future.

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Section: Architectures and Approachesmentioning

confidence: 99%

Agent-based distributed manufacturing control: A state-of-the-art survey

Leitão

2009

Engineering Applications of Artificial Intelligence

700

369

View full text Add to dashboard Cite

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“…In addition to the mentioned architectures, there are other architectures such as: Holonic Control Device (HDC) [131], Fabricare [132], ANEMONA [7], Holonic Shopfloor Control System (HSCS) [133], Concurrent Integrated Process Planning System (CIPPS) [134] and Product, Resource, Order, Simulation Isoarchic Systems (PROSIS) [135].…”

Section: Holonic Paradigmmentioning

confidence: 99%

Holonic Reengineering to Foster Sustainable Cyber-Physical Systems Design in Cognitive Manufacturing

2021

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Value chain is identified as the generator of the metabolic rift between nature and society. However, the sustainable value chain can mitigate and reverse this rift. In this paper, firstly, a review of the main digital enablers of Industry 4.0 and the current state of cognitive manufacturing is carried out. Secondly, Cyber-Physical Systems are conceived from the holonic paradigm, as an organizational enabler for the whole of enablers. Thirdly, the bijective relationship between holonic paradigm and container-based technology is analyzed. This technology allows mapping the physical and virtual holon as an intelligent agent embodied at the edge, fog and cloud level, with physical and virtual part. Finally, the proposed holonic system based on the cyber-physical holon is developed through multi-agent systems based on container technology. The proposed system allows to model the metabolism of manufacturing systems, from a cell manufacturing to whole value chain, in order to develop, evolve and improve the sustainable value chain.

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“…Emphasis has been placed on the improvement on interaction ability between shop floor devices. Cheung et al, (2000) and Giret et al (2004) introduce examples of FMS having complex negotiation structure with high communication ability.…”

Section: Holonic Manufacturing System Architecturementioning

confidence: 99%

Design and analysis of agent-based FMS control systems

Fan¹,

樊智傑.²

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A flexible manufacturing system (FMS) is a complex manufacturing system, which demands a robust control software for its scheduling, planning and control functions. This study considers the applications of multi-agent systems (MAS) in FMS control systems. Its aim was to establish a new hybrid-based approach in the design and analysis of agent-based FMS control systems. The proposed hybrid approach is based on the UML (Unified Modelling Language) and CPN (Coloured Petri Net) modeling technologies. The UML modeling methodology was adopted in the design and specification of the MAS-based FMS control systems and the individual agent. A mapping mechanism was developed to convert the UML views into CPN models. The CPN models can then be used to represent the dynamic behavior and interactions of agents in the MAS. In the corresponding CPN model, resource allocation by agents is represented by the color tokens. Three different flexible assembly cell (FAC) configurations were used as examples of manufacturing systems. According to a simple FAC configuration, a generic Chapter 1. INTRODUCTION

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HSCF: A holonic shop floor control framework for flexible manufacturing systems

Cited by 11 publications

References 0 publications

Agent-based distributed manufacturing control: A state-of-the-art survey

Agent-based distributed manufacturing control: A state-of-the-art survey

Holonic Reengineering to Foster Sustainable Cyber-Physical Systems Design in Cognitive Manufacturing

Design and analysis of agent-based FMS control systems

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