Modeling of service agents for simulation in cloud manufacturing

Zhao, Chun; Luo, Xianwu; Zhang, Lin

doi:10.1016/j.rcim.2019.101910

Cited by 26 publications

(12 citation statements)

References 18 publications

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“…A manufacturing ecosystem extends the scope of the supply chain and covers the area of industry evolution [41], and it can help manufacturers to meet customer needs, enhance flexibility, and seize competitive advantage. The terminology of manufacturing ecosystems also relates to other concepts, such as networked value chains, holonic enterprises, virtual enterprises [42], distributed manufacturing [43], non-hierarchical networks [44], smart manufacturing [45], intelligent manufacturing [46], etc. According to Accenture Strategy research, manufacturers that use a higher percentage of partnership networks are more likely to have higher productivity, revenue, and profit margin than those that try to build and own the entire network [36].…”

Section: Manufacturing Ecosystemmentioning

confidence: 99%

Cloud manufacturing ecosystem analysis and design

Helo

Hao

Toshev

et al. 2021

Robotics and Computer-Integrated Manufacturing

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The manufacturing industry is facing the impact of a dynamic market and intensive competition. Many companies are looking for a new approach to improve their business activities in a collaborat ive business ecosystem with other stakeholders. Cloud computing enables the sharing of manufacturing resources and capabilities between different stakeholders to support business and physical production. The purpose of this resea rch is to explore approaches moving towards a cloud manufacturing ecosystem and present possible implications for practice. To fulfil the research objectives, a multiple-case study was conducted within sheet metal manufacturing companies. Business and technology related requirements for cloud-based collaborative manufacturing porta ls were collected through interviews with industrial practitioners from the sheet metal manufacturing perspective. Based on analysis a prototype model of a CloudEcosystem was presented to demonstrate the essential features of the portals. This research found that there are three different porta l types for cloud manufacturing ecosystems depending on the value chain configuration. Close to real-time information provided by cloud-based platforms can create manufacturing ecosystems where machine owners, product designers and customers may collaborate and compete simultaneously. The CloudEcosystem designed in this research can provide a practical tool and technical solution to help manufacturers think about moving towards cloud manufacturing ecosystem s.Ecosystems, web porta l, cloud platform, business collaboration, cloud manufacturing.

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Section: Manufacturing Ecosystemmentioning

confidence: 99%

Cloud manufacturing ecosystem analysis and design

Helo

Hao

Toshev

et al. 2021

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

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“…❼ Collaborative networks of manufacturing resources and services (52 articles): This cluster contains the models developed as tools to approach the relationship between stakeholders, aiming at assessing: (i) synergy of the manufacturing services and enterprises networks [39], (ii) integration of operations, information, knowledge and efforts between players [40][41], (iii) the sharing of resources capabilities [42], (iv) collaborative troubleshooting process involving multiple companies [43], (v) the dynamic decision-making process made by customers to meet their customized demands in production networks with high levels of flexibility and responsiveness [44], (vi) procedures that increase integration of capabilities in remanufacturing, recycling and recovery [45], as well as other strategies that might increase competitiveness throughout the manufacturing supply chain.…”

Section: Case Studies Analysismentioning

confidence: 99%

Assessment of researches and case studies on Cloud Manufacturing: a bibliometric analysis

Morelli

Ignácio

2021

Int J Adv Manuf Technol

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Cloud computing technology has been studied in the context of industry 4.0 as a tool applied to manufacturing services and resources. Such concept is widely known as Cloud Manufacturing. This paper aims at mapping the current state of academic researches on this field, promoting the understanding of trends, references and practical applications in real-life conditions. A bibliometric analysis was conducted using two different databases -Scopus and Web of Sciences -and VOSviewer's text mining tools and techniques. From a sample of 1,420 papers, this study identified the countries which had the largest volume of publications, the main journals related to the subject, the most influent articles, and four clusters by keywords occurrences: (i) "Optimization of manufacturing processes", (ii) "Collaborative networks of manufacturing resources and services", (iii) "Industry 4.0 and cloud computing systems", and (iv) "Data reliability and cyber-security". Finally, this work selected and analyzed the 159 articles with applied case studies, in order to stratify and to understand the most common approaches within the four pre-established categories. This article can contribute to researchers and developers searching for successful practical applications in digitalization of manufacturing chains, as well as to those who are looking for gaps in the still unexplored fields of Cloud Manufacturing. Both the assessment and the categorization of the case studies about Cloud Manufacturing is a differential in this article.

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“…Cloud manufacturing is an intelligent manufacturing system mode with open information, resource sharing and diversified services. Cloud manufacturing services for IOT modularize the systems of many manufacturing enterprises, and can get the maximum and optimal output at the lowest cost [32].…”

Section: Flexibility Of Smismentioning

confidence: 99%

Customization and Performance of Service-Oriented Manufacturing Information System: The Mediating Effect of Information System Flexibility

Niu¹

2021

IIM

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The purpose of this paper is to provide empirical evidence for the validity of the relationship between service-oriented manufacturing information system (SMIS) customization and performance from three aspects: data flexibility, process flexibility and system flexibility. We select some questionnaires from the third round of High-performance manufacturing (HPM) data to construct the construct, verify the reliability and validity of the construct, extract principal components, and analyze the mediating effect by using multiple chain linear regression and structural equation model. The results show that SMIS customization has a significant impact on its performance, and this effect works through its flexibility. More specifically, it is the multiple chain mediation effect composed of data flexibility, process flexibility and system flexibility. The importance of SMIS customization and flexibility to the organization is made clear, which helps practitioners understand the internal mechanism that affects SMIS performance, so as to use limited resources to improve system performance.

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Modeling of service agents for simulation in cloud manufacturing

Cited by 26 publications

References 18 publications

Cloud manufacturing ecosystem analysis and design

Cloud manufacturing ecosystem analysis and design

Assessment of researches and case studies on Cloud Manufacturing: a bibliometric analysis

Customization and Performance of Service-Oriented Manufacturing Information System: The Mediating Effect of Information System Flexibility

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