Exploring reconfiguration alternatives in self-organising evolvable production systems through simulation

Neves, Pedro; Ribeiro, Luís; Dias-Ferreira, João; Onori, Mauro; Barata, José

doi:10.1109/indin.2014.6945566

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…This tool has been developed under the umbrella of the EPS paradigm and derived from the ideas agent development environment (IADE) architecture (Ribeiro et al , 2012). The simulation tool initially published by Neves et al (2014b) was extended under the scope of this article with the layout generator with exhaustive search of all combinatorial possibilities and rating.…”

Section: Test Casementioning

confidence: 99%

“…It uses the Jung library (O’Madadhain et al , 2003) to support the visualization and analysis of the graphs and the Combinatorics lib 2.1 (Paukov, 2015) to support the generation of all candidate solutions. After the candidate reconfigurations are selected, according to the previously defined metrics, the user can proceed with the simulation of the selected candidate solutions as detailed by Neves et al (2014a, 2014b).…”

Section: Test Casementioning

confidence: 99%

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Layout validation and re-configuration in Plug&Produce systems

Neves

Ribeiro

Dias-Ferreira

et al. 2016

Self Cite

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Purpose This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production orders. Design/methodology/approach The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for P&P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative. Findings The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system. Originality/value This paper addresses a less explored domain within the P&P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the P&P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.

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Section: Test Casementioning

confidence: 99%

Section: Test Casementioning

confidence: 99%

Layout validation and re-configuration in Plug&Produce systems

Neves

Ribeiro

Dias-Ferreira

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Agent-based decentralised solutions are also adopted in smart grids (Linnenberg, Wior, and Fay 2013). The self-organising behaviour of evolvable production systems is analysed in Neves et al (2014a), with the aim of providing design and configuration alternatives for different products.…”

Section: Adaptive Manufacturing Systemsmentioning

confidence: 99%

Automated experience-based learning for plug and produce assembly systems

Scrimieri

Antzoulatos

Castro

et al. 2016

International Journal of Production Research

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This paper presents a self-learning technique for adapting modular automated assembly systems. The technique consists of automatically analysing sensor data and acquiring experience on the changes made on an assembly system to cope with new production requirements or to recover from disruptions. Experience is generalised into operational knowledge that is used to aid engineers in future adaptations by guiding them throughout the process. At each step, applicable changes are presented and ranked based on: 1) similarity between the current context and those in the experience base; 2) estimate of the impact on system performance. The experience model and the self-learning technique reflect the modular structure of the assembly machine and are particularly suitable for plug and produce systems, which are designed to offer high levels of self-organisation and adaptability. Adaptations can be performed and evaluated at different levels: from the smallest pluggable unit to the whole assembly system. Knowledge on individual modules can be reused when modules are plugged into other systems. An experimental evaluation has been conducted on an industrial case study and the results show that, with experience-based learning, adaptations of plug and produce systems can be performed in a shorter time.

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“…It offers cyber capability in every physical component, a high degree of automation, and reorganizing/reconfiguring dynamics [ 1 ]. Due to its unique features, CPS has been widely used in manufacturing [ 2 , 3 , 4 ]. In a manufacturing system equipped with CPS techniques, which is called a cyber-physical manufacturing system, machines as well as human workers constitute the physical resources, and data is collected from the sensors of these resources which constitutes the cyber part of the system.…”

Section: Introductionmentioning

confidence: 99%

A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems

Huang

Zhu

Cheng

et al. 2016

Sensors

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With the growing popularity of complex dynamic activities in manufacturing processes, traceability of the entire life of every product has drawn significant attention especially for food, clinical materials, and similar items. This paper studies the traceability issue in cyber-physical manufacturing systems from a theoretical viewpoint. Petri net models are generalized for formulating dynamic manufacturing processes, based on which a detailed approach for enabling traceability analysis is presented. Models as well as algorithms are carefully designed, which can trace back the lifecycle of a possibly contaminated item. A practical prototype system for supporting traceability is designed, and a real-life case study of a quality control system for bee products is presented to validate the effectiveness of the approach.

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Exploring reconfiguration alternatives in self-organising evolvable production systems through simulation

Cited by 9 publications

References 23 publications

Layout validation and re-configuration in Plug&Produce systems

Layout validation and re-configuration in Plug&Produce systems

Automated experience-based learning for plug and produce assembly systems

A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems

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