Evolvable production systems

Neves, Pedro; Barata, José

doi:10.1109/isam.2009.5376907

Cited by 11 publications

(6 citation statements)

References 21 publications

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“…The authors discussed using self-adaptation techniques such as agent technology and self-organization in implementing manufacturing systems. They highlighted the drawbacks of the multiagent control approach [59], because of its nondeterministic nature, and mentioned the use of the Holonic [60] and Evolvable Systems [61] paradigms or approaches based on Agentoriented Architectures (AoA) as solutions that can overcome these barriers. Holonic manufacturing systems are a manufacturing paradigm where holons, which are autonomous selforganizing units that can communicate with other holons, assist the operator in controlling the system by selecting appropriate parameter settings.…”

Section: Analyzing Cps Self-adaptation Solutionsmentioning

confidence: 99%

Self-Adaptation Techniques in Cyber-Physical Systems (CPSs)

2019

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Cyber-Physical Systems (CPSs) are large-scale complex systems that monitor and control physical processes by using computer algorithms tightly integrated with networking and their users. Monitoring and controlling the physical environment is a hot topic for today's researchers and engineers in academia and industry. Within this realm, an important feature of current and future Information and Communications Technology (ICT) systems is self-adaptation-yet there is a shortage of information focusing on this characteristic in the literature, particularly as it relates to CPSs. Here, we investigate current state-of-the-art research on CPSs from this perspective, and evaluate the main self-adaptive approaches proposed in the literature, along with their results, strengths, and weaknesses. We also discuss appropriate techniques for enabling self-adaptation capabilities within CPSs at different architectural layers. Overcoming the challenges associated with designing and implementing self-adaptive mechanisms in CPSs will provide a path for bolstering a new generation of CPSs with greater robustness and reliability.

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Section: Analyzing Cps Self-adaptation Solutionsmentioning

confidence: 99%

Self-Adaptation Techniques in Cyber-Physical Systems (CPSs)

2019

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“…However, the agility on the shop-floor level is not so easy to achieve and some new paradigms to manage the shop-floor behaviours and deal with all complexity have been proposed, such as Holonic Manufacturing Systems [5], [6], Reconfigurable Manufacturing Systems [7], [8], Evolvable Assembly Systems [9], [10] and Evolvable Production Systems [11], [12]. Those approaches bring flexibility and responsiveness to the shopfloor.…”

Section: Agile Manufacturingmentioning

confidence: 99%

PRIME as a Generic Agent Based Framework to Support Pluggability and Reconfigurability Using Different Technologies

Rocha

Barata

Orio

et al. 2015

IFIP Advances in Information and Communication Technology

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Abstract. Presently the manufacturers are facing a challenging and important period. The markets are very different comparatively to the past, with constant changes and facing a big crisis. Hence, with these new characteristics is very important for the companies quick adaptations in order to take advantage of new business opportunities. However on the shop floor is not easy reconfigure the production lines to perform new tasks. The PRIME framework presents an agent based solution capable to rapidly reconfigure and readapt the production line using standard technology. In this paper is demonstrated the usability of this framework with three completely different technologies. With this flexibility, using PRIME it is possible perform plug and produce, reconfigurability and monitoring for all kind of technologies, not obligating the companies to reform all components in the line, avoiding external costs and stoppages.

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“…A number of governmentbacked initiatives have arisen in recent years to support this trend, including the German Industrie 4.0 initiative [4,37], EU EFFRA Roadmap [2], US DMDII Strategic Plan [5], and the recent Japanese 'Connected Manufacturing' Industrial Value Chain Initiative [3]. Academic research in the area includes reconfigurable manufacturing systems [38,22] with 'plug and produce' technologies [47,9], holonic manufacturing [39,41,10], organic computing [44,14], and the related evolvable production systems and evolvable assembly systems [46,45,47,16,48], among others.…”

Section: Introductionmentioning

confidence: 99%

Synthesising process controllers from formal models of transformable assembly systems

Silva¹,

Felli²,

Sanderson³

et al. 2019

Robotics and Computer-Integrated Manufacturing

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When producing complex and highly customisable products in low volumes (or in 'batch sizes of one'), automation of production systems is critical for competitiveness and profitability in high labour-cost economies. To facilitate batch-size-of-one production, 'topology generation', 'realisability', and 'control' algorithms have been developed as part of the Evolvable Assembly Systems (EAS) project. The topology generation algorithm computes all the possible sequences of parallel activities that assembly resources can perform on parts and is run offline whenever the layout of the production facility changes, whereas realisability checking and controller generation are performed at run-time to check whether a production facility with a given set of assembly resources can assemble a desired product, and how the product should be assembled, e.g., which resources to use, and when. Generated controllers are output in Business to Manufacturing Markup Language (B2MML). Taken together, the algorithms thus represent a step toward a complete path from the formal specification of an assembly system and the products to be assembled, to the automated synthesis of executable process plans. This paper presents each algorithm in sufficient detail to allow their reimplementation by other researchers. Topology generation is the most expensive step in the approach. A preliminary experimental evaluation of the scalability of topology generation is presented, which suggests that, for small to medium sized production facilities, the time required for recomputing the topology is sufficiently small not to preclude frequent factory transformations, e.g., the addition of new resources.

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Evolvable production systems

Cited by 11 publications

References 21 publications

Self-Adaptation Techniques in Cyber-Physical Systems (CPSs)

Self-Adaptation Techniques in Cyber-Physical Systems (CPSs)

PRIME as a Generic Agent Based Framework to Support Pluggability and Reconfigurability Using Different Technologies

Synthesising process controllers from formal models of transformable assembly systems

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