Modelling and platform application of the behaviour of a cyber physical production system

Song, Santai; Jiang, Zhenan; Ma, Jun; Li, Qi; Wang, Qiang

doi:10.1080/0951192x.2021.1972458

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…In the reconfiguration period, T1 technologies are also needed to sense and describe the status of resources, supporting their adaptability (De Miranda et al 2020;Song et al 2021b).…”

Section: T1 and Reconfigurability Capabilitymentioning

confidence: 99%

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How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review

Napoleone

Negri

Macchi

et al. 2022

International Journal of Production Research

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How the Technologies underlying Cyber-Physical Systems support the Reconfigurability Capability in Manufacturing. A Literature Review Nowadays, manufacturing firms need the reconfigurability capability to be responsive in the current context characterized by unpredictable and frequent market changes and the reduction of product life cycle. Despite the relevance of the subject, a challenge for practitioners is the development of a strategy aimed to increase the level of reconfigurability with long-term goals of customization and responsiveness. Moreover, traditional manufacturing paradigms are disrupted by the transformation of manufacturing systems in Cyber-Physical Systems (CPS), thus introducing innovative means also to increase the level of reconfigurability in manufacturing systems. This study investigates what technologies underlying CPS support the reconfigurability capability and how these support the reconfigurability along system life cycle. Thus, the technologies underlying CPS are classified in seven categories and it is shown how they enable the sequence of utilization of the reconfigurability characteristics (modularity, integrability, diagnosability, scalability, convertibility and customization) along system life cycle. The results of the study can guide practitioners in developing reconfigurability as strategic capability. Moreover, different directions for future research can be considered, as discussed in the conclusions.

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“…In the reconfiguration period, T1 technologies are also needed to sense and describe the status of resources, supporting their adaptability (De Miranda et al 2020;Song et al 2021b).…”

Section: T1 and Reconfigurability Capabilitymentioning

confidence: 99%

“…From a strategic perspective, customization is supported as T5 technologies assist the designer of the manufacturing system in evaluating the operational performance of new configurations (Song et al 2021b).…”

Section: T5 and Reconfigurability Capabilitymentioning

confidence: 99%

How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review

Napoleone

Negri

Macchi

et al. 2022

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…Christou et al (2022) proposed an end-to-end platform architecture for quality management and predictive maintenance. Song et al (2021) proposed a behavioral model-driven approach for CPS life cycle support modeling and validated the effectiveness of the approach through a laboratory case study. Iarovyi et al (2016) proposed a method to design Open-Knowledge-Driven Manufacturing Execution System on CPS, and used this system to control a robotic workstation and a conveyor belt transport system.…”

Section: Literature Reviewmentioning

confidence: 99%

A knowledge-based real-time scheduling system for steam turbine assembly under CPS environment

Wang

Hu²,

Zhang³

2022

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Purpose Steam turbine final assembly is a dynamic process, in which various interference events occur frequently. Currently, data transmission relies on oral presentation, while scheduling depends on the manual experience of managers. This mode has low information transmission efficiency and is difficult to timely respond to emergencies. Besides, it is difficult to consider various factors when manually adjusting the plan, which reduces assembly efficiency. The purpose of this paper is to propose a knowledge-based real-time scheduling system under cyber-physical system (CPS) environment which can improve the assembly efficiency of steam turbines. Design/methodology/approach First, an Internet of Things based CPS framework is proposed to achieve real-time monitoring of turbine assembly and improve the efficiency of information transmission. Second, a knowledge-based real-time scheduling system consisting of three modules is designed to replace manual experience for steam turbine assembly scheduling. Findings Experiments show that the scheduling results of the knowledge-based scheduling system outperform heuristic algorithms based on priority rules. Compared with manual scheduling, the delay time is reduced by 43.9%. Originality/value A knowledge-based real-time scheduling system under CPS environment is proposed to improve the assembly efficiency of steam turbines. This paper provides a reference paradigm for the application of the knowledge-based system and CPS in the assembly control of labor-intensive engineering-to-order products.

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Modelling and platform application of the behaviour of a cyber physical production system

Cited by 2 publications

References 36 publications

How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review

How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review

A knowledge-based real-time scheduling system for steam turbine assembly under CPS environment

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