Distributed Resource Environment: A Cloud-Based Design Knowledge Service Paradigm

Zhang, Zhinan; Li, Xiang; Liu, Yonghong; Xie, Youbai

doi:10.1007/978-3-319-07398-9_3

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…Additionally, and similarly to existing cloud paradigms, the AKAAS approach is expected to improve the efficiency of the access to the needed knowledge, the relevancy and timeliness of the knowledge products delivered. Furthermore, research also demonstrated that adopting a cloud-based knowledge service environment enables organizations to foster an open innovation environment, by supporting knowledge flows and thus reducing time and costs for products development [22]. Despite great expectations, it is however clear that, besides technological and infrastructure readiness, the success of such knowledge-based service approaches also require adequate organizational support on the provider's' side as well as internal and external diffusion capabilities.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Depeige

Doyencourt²

2015

Journal of Big Data

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Knowledge-as-a service is an emerging research trend that constitutes a promising path for organizations aiming to achieve better customer support and decision-making across a wide range of content providers. However, only few studies have explored how traditional knowledge management processes and practices are challenged and evolve in relation to social and technological transformation stemming from the new age of cloud-computing environments. This research paper attempts to answer this gap by introducing a new framework for the management of knowledge in the cloud. The objective of this study is twofold. First, it aims to develop a knowledge-based decision framework using recent knowledge-as-as-service paradigms for creating, retrieving and reusing technical knowledge in cloud environments. Second, and in relation to this view, the current state of data analysis (business intelligence, big data analytics) is assessed in light of cloud computing environments and the simultaneous emergence of new knowledge management paradigms. An overview of cloud computing challenges is given as well as a representation of supporting knowledge management processes, followed by the description of related applications of the AKAAS (Actionable Knowledge As A Service) operating framework. The first part of the research develops upon literature on Knowledge Management Systems (KMS) frameworks. The second part of this study examines and assesses the nature of data and analytics required to provide on-demand delivery of knowledge in the cloud. Finally, the third part of the paper explores practical applications of the framework to guide the development of knowledge management processes and practices towards internal and external users adoption. We conclude by suggesting future research directions, including case studies examining differential knowledge cloud-based designs.

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Section: Conclusion and Future Researchmentioning

confidence: 99%

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Depeige

Doyencourt²

2015

Journal of Big Data

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“…Manufacturing software applications, e.g. Design [3,4,5], Visualisation [6], Simulation [7], and Enterprise Resource Planning (ERP) [8,9], were deployed on the Cloud to realise remote access and flexile billing.…”

Section: Cloud Computing In Production Industrymentioning

confidence: 99%

ICMS: A Cloud-Based System for Production Management

Wang

Givehchi

2015

Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

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“…For example, the advent of cloud-based software and services in the field of digital design and manufacturing has begun to transform the way in which engineering companies around the world perform engineering design, manufacturing, and production activities. As engineering design and manufacturing become increasingly digital, the digital thread that integrates cloud computing, physical objects, sensor networks, and the Internet has the potential to significantly reduce product time to market and cost associated with product development and manufacturing as well as improve product quality and reliability (Bruner, 2013; Brettel et al, 2014; Zhang et al, 2014, 2015).…”

Section: Introductionmentioning

confidence: 99%

Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

Terpenny

Schaefer

2016

AIEDAM

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This paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was accepted in AI EDAM and therefore the article in AI EDAM is being retracted. (In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high-performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet and are often hailed as pillars of a new industrial revolution. While an increasing number of companies are developing or already offer commercial cloud-based software packages and services for digital design and manufacturing, little work has been reported on providing a review of the state of the art of these commercial software and services as well as identifying research gaps in this field. The objective of this paper is to present a state-of-the-art review of digital design and manufacturing software and services that are currently available on the cloud. The focus of this paper is on assessing to what extent engineering design, engineering analysis, manufacturing, and production across all phases of the product development lifecycles can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial software and services, it can be concluded that almost all phases of product realization can be conducted through digital design and manufacturing software and services on the cloud. Finally, existing research gaps and related challenges to overcome are identified. The state-of-the-art review serves to provide a technology guide for decision makers in their efforts to select suitable cloud-based software and services as alternatives to existing in-house resources as well as to recommend new research areas.)

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Distributed Resource Environment: A Cloud-Based Design Knowledge Service Paradigm

Cited by 5 publications

References 14 publications

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

Actionable Knowledge As A Service (AKAAS): Leveraging big data analytics in cloud computing environments

ICMS: A Cloud-Based System for Production Management

Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

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