Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed

Liu, Xiaoqing Frank; Shahriar, Rakib; Sunny, S M Nahian Al; Leu, Ming C.; Hu, Liwen

doi:10.1016/j.jmsy.2017.04.004

Cited by 128 publications

(44 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Semantic technology has the potential to resolve the issue of standardized communication [6,25,73]. Semantic technology represents information (data and knowledge) in a form that is understandable by both machines and human agents.…”

Section: Communicationmentioning

confidence: 99%

See 1 more Smart Citation

Requirements of the Smart Factory System: A Survey and Perspective

et al. 2018

View full text Add to dashboard Cite

Abstract:With the development of Industry 4.0 and the emergence of the smart factory concept, the traditional philosophy of manufacturing systems will change. The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future. An increasing amount of research in both academia and industry is dedicated to transitioning the concept of the smart factory from theory to practice. The purpose of the current research is to highlight the perspectives that shape the smart factory and to suggest approaches and technical support to enable the realization of those perspectives. This paper fills this gap by identifying and analyzing research on smart factories.We suggest a framework to analyze existing research and investigate the elements and features of smart factory systems.

show abstract

Section: Communicationmentioning

confidence: 99%

“…In the smart factory, the system is context-aware and helps people and machines execute their tasks based on information from both physical and virtual worlds. Components of the system can negotiate with each other and with other factory components to either request or offer functions [6].…”

Section: Introductionmentioning

confidence: 99%

Requirements of the Smart Factory System: A Survey and Perspective

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Mobile CPS has emerged with advances in cloud computing and wireless sensing technologies (Chen, 2017). Liu et al (2017) consider that a CPS for manufacturing is not a manufacturing cloud if it does not use virtualization technique in cloud computing and service-oriented architecture in service computing. On the other hand, these authors note that a manufacturing cloud is not a CPS if it does not have components for direct interactions with machine tools and other physical devices.…”

Section: Computationmentioning

confidence: 99%

Advanced Manufacturing Processes and Technologies

Brocal

Sebastián

González

2019

Management of Emerging Public Health Issues and Risks

View full text Add to dashboard Cite

“…CPS is characterized by the integration of information and data technologies as well as communication ("cyber") with physical and real-world engineering processes and tasks, see e.g., [17,18]. Recent challenges include security questions [19][20][21][22][23] as well as complexity handling, including the notion to reduce complexity within the models used to simulate CPS systems [24].…”

Section: Productionmentioning

confidence: 99%

Innovation Potentials and Pathways Merging AI, CPS, and IoT

Klumpp

2018

ASI

View full text Add to dashboard Cite

Recent advances in the areas of Artificial Intelligence (AI) in the informatics field, Cyber-Physical Systems (CPS) in the production field, and Internet of Things (IoT) in the logistics and transportation field have induced a tremendous growth and innovation potential for global value chain setups. The question is not if further innovation and automation will happen but when-sooner than later-and how. Independent of physical production innovations (additive manufacturing) the information integration and decision autonomy tendencies themselves will drive new supply chain and customer interaction designs and business models. This article presents a technology forecast model based on extensive descriptions of developments by field as well as interaction traits. Results suggest that the crucial element in AI and technology application in logistics will be the human factor and human-artificial cooperation capacities and attitudes.

show abstract

Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed

Cited by 128 publications

References 25 publications

Requirements of the Smart Factory System: A Survey and Perspective

Requirements of the Smart Factory System: A Survey and Perspective

Advanced Manufacturing Processes and Technologies

Innovation Potentials and Pathways Merging AI, CPS, and IoT

Contact Info

Product

Resources

About