Cyber-Physical Production Testbed: Literature Review and Concept Development

Salunkhe, Omkar; Gopalakrishnan, Maheshwaran; Skoogh, Anders; Fasth-Berglund, Åsa

doi:10.1016/j.promfg.2018.06.050

Cited by 21 publications

(13 citation statements)

References 29 publications

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“…[2,25] Drawing parallels and inspiration from this concept, the application of CPS in manufacturing is referred to as CPPS which integrate physical resources and operation technology (OT) with information technology (IT) through all levels including production systems, individual machines, supply chain and logistics, to increase the efficiency, productivity, and safety in manufacturing operations. [26,27] Within the context of "Industry 4.0," CPPS is considered to be the core and main driver toward the transformation of smart and automated manufacturing.…”

Section: Indicatorsmentioning

confidence: 99%

“…These CPS continuously source and store relevant data (which eventually evolve into big data) and ultimately leverage this data to drive efficient urban operations, satisfy the needs of its residents, and ensure the demand and supply of resources in the present and future . Drawing parallels and inspiration from this concept, the application of CPS in manufacturing is referred to as CPPS which integrate physical resources and operation technology (OT) with information technology (IT) through all levels including production systems, individual machines, supply chain and logistics, to increase the efficiency, productivity, and safety in manufacturing operations . Within the context of “Industry 4.0,” CPPS is considered to be the core and main driver toward the transformation of smart and automated manufacturing.…”

Section: Cpps and Ml: The Digital And Technology Aspect Of Smart Manumentioning

confidence: 99%

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Smart Manufacturing for Smart Cities—Overview, Insights, and Future Directions

Suvarna

Büth

Hejny

et al. 2020

Advanced Intelligent Systems

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According to statistics provided by the UN in 2018, the global urban population rose from 0.75 billion in 1950 to 4.2 billion by 2018, a 5.5-fold increase in nearly seven decades. Currently, this 4.2 billion urban population accounts for 55% of the current global population, and given the trend, the global urban population is expected to touch 68% of total population by 2050. [1,2] To keep abreast with this growing shift toward urbanization, the last decade witnessed a multitude of global projects across the USA, EU, Asia Pacific, and Middle East regions to cater to the needs of a futuristic urban population through the concept of "smart cities." [3,4] Some of the popular programs include Smart Cities Initiatives by the USA, [5] EU H2020 Smart Cities and Communities project, [6] Smart Nation Program by Singapore, [7] Global Initiative for Resource Efficient Cities (GI-REC) by UN, [8] etc., to mention a few. Existing literature shows that there is no single or standardized definition to the concept of a smart city. [9] However, the central theme usually revolves around the application of information and digital technologies to provide intelligent and innovative solutions to the demanding requirements of an urban ecosystem including infrastructure, transport, healthcare, governance, and security. [2,10] The overall essence and motivation of a smart city is to facilitate the highest quality of life to its residents, while simultaneously optimizing the resources and energy efficiency, aiding the overall sustainability, social, and economic development of the city. Given the fact that the concept of smart cities is constantly evolving, devising a single template to describe the various characteristic features of a smart city can be a challenging task. [9] However, notable efforts have been made to determine and define a few salient features or indices of a smart city, published by research organizations as well as by consulting firms. [11] Both types of reports present commonalities in terms of indices, which are integral to smart cities and hence enable their acceptance with a degree of confidence. Some of the most notable and cited reports include Cities in Motion Index by IESE, [12] Smart Cities Ranking by Juniper Research, [13] Top 50 Smart City

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Section: Indicatorsmentioning

confidence: 99%

Section: Cpps and Ml: The Digital And Technology Aspect Of Smart Manumentioning

confidence: 99%

Smart Manufacturing for Smart Cities—Overview, Insights, and Future Directions

Suvarna

Büth

Hejny

et al. 2020

Advanced Intelligent Systems

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“…Security testbed works were reviewed considering their close alignment with variants of ICSs, and relevant cyber security measures. From reviewing prior testbeds, a conceptual design of a cyberphysical production system testbed is presented by Salunkhe et al (2018). Testbeds were analysed based on their application with cyber security being a dominant area of focus.…”

Section: Related Workmentioning

confidence: 99%

What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework

Ani,

Watson

2021

Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governments. The inability to apply traditional IT security practice to ICSs further complicates the challenges of effectively securing critical industrial systems. To investigate these challenges without impacting upon live system operations, testbeds are being widely used as viable options to explore, develop and assess security risks and controls. However, how an ICS testbed is designed, and its attributes, can directly impact not only on its viability but also its credibility and acceptance for use as a whole. Through a systematic review and analysis of ICS security testbed design factors, a novel outline conceptual mapping of design factors for building credibility and acceptance is proposed. These design considerations include: design objectives, implementation approach, architectural component coverage, core operational characteristics, and evaluation approach.

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“…In Salunkhe et al [12], a conceptual design of CPPS testbeds is presented, based on a review of prior testbeds. These were analysed based on their application sectors, i.e., electrical grid, cybersecurity, network and communications, robotics and manufacturing, IoT, Web and Cloud computing, simulation-based, and others.…”

Section: Related Workmentioning

confidence: 99%