Communication method for manufacturing services in a cyber–physical manufacturing cloud

Sunny, S M Nahian Al; Liu, Xiaoqing Frank; Shahriar, Rakib

doi:10.1080/0951192x.2017.1407446

Cited by 23 publications

(7 citation statements)

References 34 publications

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“…Moreover, CPSs should be able to perform computing at any location, hence the concept of ubiquitous computing [94]. An enabler of such computational capability of CPSs is cloud computing [95,96]. In fact, cloud technologies provide an environment to connect and share distributed manufacturing resources including knowledge, computing and software tools, as well as physical resources via the Internet networking infrastructure [97].…”

Section: Computational Capability (C6)mentioning

confidence: 99%

A review on the characteristics of cyber-physical systems for the future smart factories

Napoleone

Macchi

Pozzetti

2020

Journal of Manufacturing Systems

149

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The emergence of new technologies is providing new ways to compete in the current context of changeable and unpredictable market requirements. The focus of this paper is on Cyber-Physical Systems (CPSs), as one of the most promising transformative technological concept of such a context, thus considered by literature as the building blocks of future smart factories. However, CPSs are still in their conceptualization phase. To this end, much literature effort has been put on their technological characterization, while there is a lack of knowledge on operations management characterization to manage such new systems. To contribute in this latter direction, this paper reviews literature in order to distinguish between technological characteristics of CPSs and operations management characteristics to build future CPS-based smart factories. This paper remarks the need for research on operations management characteristics as these may be the ones actually leading operations managers to the concrete implementation of CPS-based factories in manufacturing.

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Section: Computational Capability (C6)mentioning

confidence: 99%

A review on the characteristics of cyber-physical systems for the future smart factories

Napoleone

Macchi

Pozzetti

2020

Journal of Manufacturing Systems

149

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“…In [404], the authors design a cloud resource sharing based on the Gale-Shapley algorithm and analyze it in the context of fluctuating resource supply and demand. In [408], the authors present an agent-adapterbased method of for manufacturing clouds to enable manufacturing with various physically connected machines from geographically distributed locations over the Internet. In [409], the authors suggest a multi-granularity resource virtualization and sharing method for cloud manufacturing.…”

Section: Data Enabling Technology Articles On Energy Managementmentioning

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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“…In Sunny, Liu, and Shahriar (2018) authors present an agentbased communication method of manufacturing services in a cyber-physical manufacturing cloud, trying to enable manufacturing with various physically connected machines from geographically distributed locations over the Internet. In research work of Lin et al (2018), authors present an IoT-enabled, real-time synchronisation, whose main goal is to provide consistency in production orders, real-time data presentation and planning.…”

Section: Related Workmentioning

confidence: 99%

A novel fluid architecture for cyber-physical production systems

Beregi

Pedone

Mezgár

2019

International Journal of Computer Integrated Manufacturing

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Cloud computing has revolutionised the conceptualisation of IT environments in most fields of the economy. Nevertheless, it still requires adequate pre-requisites both in the business strategy and the computational architecture to be adopted successfully and profitably. This is especially true in the context of manufacturing where production services are very sensitive with respect to their distribution and localisation within the boundaries of the computing constellation. The paper aims at clarifying the concept and the application of Fluid Computing in Cyber-Physical Productions Systems, connecting the idea of computational sedimentation to the novel Fluid Manufacturing Architecture (FMA). The FMA encompasses the computing layers of cloud, fog, edge and mist, and extends them with a new one called Dew. The Dew represents the entry point where manufacturing legacy devices are converted into network-able, embedded components for the distributed production scenarios of Industry 4.0. The application of the FMA in a pilot factory has been investigated. The preliminary results of an agent-based simulation case-study for collaborative manufacturing services within the FMA are finally presented. ARTICLE HISTORY

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Communication method for manufacturing services in a cyber–physical manufacturing cloud

Cited by 23 publications

References 34 publications

A review on the characteristics of cyber-physical systems for the future smart factories

A review on the characteristics of cyber-physical systems for the future smart factories

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

A novel fluid architecture for cyber-physical production systems

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