A novel cloud manufacturing framework with auto-scaling capability for the machining industry

Chen, Chao‐Chun; Lin, Yu‐Chuan; Hung, Min‐Hsiung; Lin, Chih-Yin; Tsai, Yen-Ju; Cheng, Fan‐Tien

doi:10.1080/0951192x.2015.1125766

Cited by 15 publications

(5 citation statements)

References 29 publications

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“…The authors also highlight the service-oriented ICPS model, supported by the cloud, as an infrastructure platform and application of services that will promote manufacturing efficiency, increase production quality, and further contribute to the development of a sustainable industrial system and the emergence of ecologically correct businesses, which is a trend in the I4.0 paradigm according to Stock and Seliger (2016), who see a direction in relation to the creation of sustainable industrial value. Following the models presented, Chen et al, (2016) propose the CMFAS (Cloud Manufacturing Framework (CMF) with Auto-Scaling Capability in a very technical way, with automatic scaling capability for the industry machining, based on a pay-per-use business model, being a cloud-based architecture that aims to transform a single user's manufacturing functions into cloud services that can be accessed by different users simultaneously, with a scaling algorithm for automatically perform the expansion or reduction of the number of virtual machines. The authors also develop an Ontology Inference Cloud Service (OICS) for machine tools based on CMFAS.…”

Section: Business Models In the Context Of Industry 40mentioning

confidence: 99%

Business models in the context of Industry 4.0 as support in generating value and strategic alignment

Enke

Martens²,

Coutinho³

et al. 2022

RSD

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The production models created by the industry throughout the twentieth century are now put in check in the face of technological developments and the new digital transformation of manufacturing, known as Industry 4.0 (I4.0). Although many advantages and possibilities are still perceived from this transition, there is little discussion about the business models that will best adapt to this context, making it opportune to review the business models that emerge or are adapted to this new paradigm. This study aims to study the business models related to I4.0, in order to understand how these models support the value creation and how the alignment takes place with the strategy, in addition to identifying gaps for future studies. The methodology used was a systematic literature review, using bibliometrics and network and content analysis. This research had a descriptive purpose, making use of secondary sources through bibliographic survey, with consultation of SCOPUS and Web of Science databases. The sample of 149 publications was analyzed, allowing the discussion of business models in the context of Industry 4.0. Likewise, the analysis of the selected articles made evident the wide scope for future research. It is concluded from the research, that business models in the context of Industry 4.0 point to sustainable industrial value creation and tend to be directed to consumers, with a flexible and customized demand offer, passing by the lot size one, mass customization, when companies will shift their focus from marketing their products to providing solutions to specific customer desires.

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Section: Business Models In the Context Of Industry 40mentioning

confidence: 99%

Business models in the context of Industry 4.0 as support in generating value and strategic alignment

Enke

Martens²,

Coutinho³

et al. 2022

RSD

View full text Add to dashboard Cite

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“…In this design, data can be generated from various sources, even from third-party online knowledge clouds and the various computations can happen in different cloud services, with a decentralized coordination, distributively among the users. In [93] the authors introduce the concept of a cloud manufacturing framework with auto-scaling capability, aiming at providing a systematic and rapid development approach for building cloud manufacturing systems. Contrary to [77], the design of [93] provides a structured and centralized bulletin board data exchange mechanism, serving specifically defined data.…”

Section: A Architectures Focusing On Assembly Line and Industrial Robotsmentioning

confidence: 99%

“…In [93] the authors introduce the concept of a cloud manufacturing framework with auto-scaling capability, aiming at providing a systematic and rapid development approach for building cloud manufacturing systems. Contrary to [77], the design of [93] provides a structured and centralized bulletin board data exchange mechanism, serving specifically defined data. However, due to the fact that workers are involved in the design, the number of which varies from time to time (due to the auto-scaling mechanism of the cloud manufacturing framework), the data presence can be considered as ubiquitous also in this case.…”

Section: A Architectures Focusing On Assembly Line and Industrial Robotsmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…The machine-tool manufacturing enterprises use cloud manufacturing to develop intelligent machine tools and novel business models to increase their competitiveness and gain profits [8].…”

Section: Some Common Applications Of Cloud Manufacturing Include:  Machining Industrymentioning

confidence: 99%

The Essence of Cloud Manufacturing

Sadiku¹,

Ashaolu²,

Ajayi-Majebi³

et al. 2020

International Journal of Scientific Advances

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Cloud manufacturing is a service-oriented, knowledge-based smart manufacturing system. It is integrated with cloud computing technology, Internet of Things, and high-performance computing. Through cloud manufacturing, manufacturing resources (such as manufacturing software tools, manufacturing equipment, and manufacturing capabilities) are “virtualized” and offered as consumable in the same way as electricity, gas, and water. The manufacturing resources are provided to users as services over the Internet (cloud) in a pay-as-you-go manner. This paper presents a brief introduction to cloud manufacturing.

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A novel cloud manufacturing framework with auto-scaling capability for the machining industry

Cited by 15 publications

References 29 publications

Business models in the context of Industry 4.0 as support in generating value and strategic alignment

Business models in the context of Industry 4.0 as support in generating value and strategic alignment

Data Management in Industry 4.0: State of the Art and Open Challenges

The Essence of Cloud Manufacturing

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