A knowledge-based tool for designing cyber physical production systems

Francalanza, Emmanuel; Borg, Jonathan C.; Constantinescu, Carmen

doi:10.1016/j.compind.2016.08.001

Cited by 66 publications

(31 citation statements)

References 38 publications

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“…1) Maybe we should organically integrate both discrete model and continuous model, non-deterministic (probability) model and deterministic (formal) model together (i.e. co-simulation toolset [215]). In addition, the key challenges will be how to describe the fine grain interaction between models and improve the performance of V&V. Or 2) we can build a unified reference model and then transform it into a proper model based on the different purposes for V&V (i.e.…”

Section: Discussion On Cps Modeling and Simulationmentioning

confidence: 99%

“…To minimize or avoid future consequences and disruptions on the cyber physical production systems (CPPS), a prototype knowledge-based tool is designed for digital factory. Furthermore, the tool has been evaluated with both industrial and scientific stakeholders, the result shows it is useful to help the stakeholders aware of their decision consequences in CPPS design activities [215]. Another toolset called COMPASS is developed for safety-critical systems.…”

Section: The Related Toolsets For Cps Design and Vandvmentioning

confidence: 99%

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A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

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Section: Discussion On Cps Modeling and Simulationmentioning

confidence: 99%

Section: The Related Toolsets For Cps Design and Vandvmentioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…The results show the superiority of CPPS in improving the reconfigurability and flexibility of manufacturing systems. Francalanza et al (2017) proposed a knowledge-based tool (i.e. prototype digital factory tool) for designing CPPS to effectively deal with the complexity and time-consuming efforts in the manual design method.…”

Section: Cps/cpps and Autonomous Manufacturingmentioning

confidence: 99%

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors

Ding

Chan

Zhang

et al. 2019

International Journal of Production Research

347

106

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Smart manufacturing is the core idea of the fourth industrial evolution. For a smart manufacturing shop floor, real-time monitoring, simulation and prediction of manufacturing operations are vital to improve the production efficiency and flexibility. In this paper, the Cyber-Physical System (CPS) and Digital Twin technologies are introduced to build the interconnection and interoperability of a physical shop floor and corresponding cybershop floor. A Digital Twin-based Cyber-Physical Production System (DT-CPPS) is further established, and the configuring mechanism, operating mechanism and real-time data-driven operations control of DT-CPPS are discussed in detail. It is expected that DT-CPPS will provide the basis for shop floors to march towards smart manufacturing.

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“…A framework for the analysis of the industrial internet of things [16] Cyber-physical systems Production systems design based on cyber-physical systems knowledge tool [17] Digital platform Platform openness in the SCM [18]…”

Section: Proposing the Simple Frameworkmentioning

confidence: 99%

The Role of Digital Connectivity in Supply Chain and Logistics Systems: A Proposed SIMPLE Framework

Queiroz

Wamba

2020

Lecture Notes in Computer Science

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Industry 4.0 and its related-cutting edge technologies are generating unprecedented changes and bringing complex challenges in practically all types of business. In this context, new concepts such as digital connectivity, interconnection, and interoperability emerged as highly disruptive approaches for logistics systems and supply chain management (SCM). To shed more light on these complexities and see how companies organized in a SCM model can adopt, implement and operate in a digital connectivity model, this study proposes a framework, namely SIMPLE. To develop the framework, we employed a literature review approach, focusing on recent studies published in journals. After the literature analysis, six dimensions related to digital connectivity in supply chains and logistics emerged, namely Smart, Innovative, Measurable, Profitable, Lean, and Excellence (SIMPLE). This framework brings opportunities for future studies, while providing important insights into the dynamics of digital connectivity in logistics and supply chains. Therefore, these SIMPLE framework dimensions should enable the actors involved in organizations' operations to interact adequately and harmoniously so as to maximize the value generated in the network.

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A knowledge-based tool for designing cyber physical production systems

Cited by 66 publications

References 38 publications

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors

The Role of Digital Connectivity in Supply Chain and Logistics Systems: A Proposed SIMPLE Framework

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