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JournalISSN: 1751-7575

Enterprise Information Systems 

Taylor & Francis
About: Enterprise Information Systems is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Enterprise information system & Information system. It has an ISSN identifier of 1751-7575. Over the lifetime, 773 publications have been published receiving 19351 citations. The journal is also known as: ELS.


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Journal ArticleDOI
TL;DR: The concept of CMfg, including its architecture, typical characteristics and the key technologies for implementing aCMfg service platform, is discussed and three core components for constructing a CMfg system, i.e. CMfg resources, manufacturing cloud service and manufacturing cloud are studied.
Abstract: Combining with the emerged technologies such as cloud computing, the Internet of things, service-oriented technologies and high performance computing, a new manufacturing paradigm – cloud manufacturing CMfg – for solving the bottlenecks in the informatisation development and manufacturing applications is introduced. The concept of CMfg, including its architecture, typical characteristics and the key technologies for implementing a CMfg service platform, is discussed. Three core components for constructing a CMfg system, i.e. CMfg resources, manufacturing cloud service and manufacturing cloud are studied, and the constructing method for manufacturing cloud is investigated. Finally, a prototype of CMfg and the existing related works conducted by the authors' group on CMfg are briefly presented.

710 citations

Journal ArticleDOI
TL;DR: This survey conducts this survey to bring more attention to this critical intersection between cyber physical systems and big data and highlight the future research direction to achieve the fully autonomy in Industry 4.0.
Abstract: With the technology development in cyber physical systems and big data, there are huge potential to apply them to achieve personalization and improve resource efficiency in Industry 4.0. As Industr...

398 citations

Journal ArticleDOI
TL;DR: The proposed system uses correlations among nursing diagnoses, outcomes and interventions to create a recommender system for constructing nursing care plans, and utilises a prefix-tree structure common in itemset mining to construct a ranked list of suggested care plan items based on previously-entered items.
Abstract: Recommender systems have been extensively studied to present items, such as movies, music and books that are likely of interest to the user. Researchers have indicated that integrated medical information systems are becoming an essential part of the modern healthcare systems. Such systems have evolved to an integrated enterprise-wide system. In particular, such systems are considered as a type of enterprise information systems or ERP system addressing healthcare industry sector needs. As part of efforts, nursing care plan recommender systems can provide clinical decision support, nursing education, clinical quality control, and serve as a complement to existing practice guidelines. We propose to use correlations among nursing diagnoses, outcomes and interventions to create a recommender system for constructing nursing care plans. In the current study, we used nursing diagnosis data to develop the methodology. Our system utilises a prefix-tree structure common in itemset mining to construct a ranked list of suggested care plan items based on previously-entered items. Unlike common commercial systems, our system makes sequential recommendations based on user interaction, modifying a ranked list of suggested items at each step in care plan construction. We rank items based on traditional association-rule measures such as support and confidence, as well as a novel measure that anticipates which selections might improve the quality of future rankings. Since the multi-step nature of our recommendations presents problems for traditional evaluation measures, we also present a new evaluation method based on average ranking position and use it to test the effectiveness of different recommendation strategies.

258 citations

Journal ArticleDOI
TL;DR: A new perspective for cloud manufacturing, as well as a cloud-to-ground solution, including the terminology, MfgCloud, and applications, can push forward this new paradigm from concept to practice.
Abstract: The concept of cloud manufacturing is emerging as a new promising manufacturing paradigm, as well as a business model, which is reshaping the service-oriented, highly collaborative, knowledge-intensive and eco-efficient manufacturing industry. However, the basic concepts about cloud manufacturing are still in discussion. Both academia and industry will need to have a commonly accepted definition of cloud manufacturing, as well as further guidance and recommendations on how to develop and implement cloud manufacturing. In this paper, we review some of the research work and clarify some fundamental terminologies in this field. Further, we developed a cloud manufacturing systems which may serve as an application example. From a systematic and practical perspective, the key requirements of cloud manufacturing platforms are investigated, and then we propose a cloud manufacturing platform prototype, MfgCloud. Finally, a public cloud manufacturing system for small- and medium-sized enterprises (SME) is presented...

242 citations

Journal ArticleDOI
TL;DR: A business-technology co-design methodology is proposed for cross-boundary integration of in-home health care devices and services and the quantitative performance analysis and field trials have confirmed the feasibility of the proposed design methodology and solution.
Abstract: In-home health care services based on the Internet-of-Things are promising to resolve the challenges caused by the ageing of population. But the existing research is rather scattered and shows lack ...

227 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202320
202225
2021126
2020110
201967
201866