Scheduling in cloud manufacturing: state-of-the-art and research challenges
For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achievi...
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| Published in | International journal of production research Vol. 57; no. 15-16; pp. 4854 - 4879 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Taylor & Francis
29.08.2019
Taylor & Francis LLC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-7543 1366-588X 1366-588X |
| DOI | 10.1080/00207543.2018.1449978 |
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| Abstract | For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achieving the aim of cloud manufacturing. Thus far, about 158 articles have been published on scheduling in cloud manufacturing. However, research on scheduling in cloud manufacturing faces numerous challenges. Thus, there is an urgent need to ascertain the current status and identify issues and challenges to be addressed in the future. Covering articles published on the subject over the past eight years, this article aims to provide a state-of-the-art literature survey on scheduling issues in cloud manufacturing. A detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier's Scopus abstract and citation database. Typical characteristics of scheduling issues in cloud manufacturing are systematically summarised. A comparative analysis of scheduling issues in cloud manufacturing and other scheduling issues such as cloud computing scheduling, workshop scheduling and supply chain scheduling is also carried out. Finally, future research issues and challenges are identified. |
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| AbstractList | For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achieving the aim of cloud manufacturing. Thus far, about 158 articles have been published on scheduling in cloud manufacturing. However, research on scheduling in cloud manufacturing faces numerous challenges. Thus, there is an urgent need to ascertain the current status and identify issues and challenges to be addressed in the future. Covering articles published on the subject over the past eight years, this article aims to provide a state-of-the-art literature survey on scheduling issues in cloud manufacturing. A detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier's Scopus abstract and citation database. Typical characteristics of scheduling issues in cloud manufacturing are systematically summarised. A comparative analysis of scheduling issues in cloud manufacturing and other scheduling issues such as cloud computing scheduling, workshop scheduling and supply chain scheduling is also carried out. Finally, future research issues and challenges are identified. |
| Author | Liu, Yongkui Wang, Lihui Wang, Xi Vincent Zhang, Lin Xu, Xun |
| Author_xml | – sequence: 1 givenname: Yongkui orcidid: 0000-0003-2165-775X surname: Liu fullname: Liu, Yongkui organization: Center for Complex Systems, School of Mechano-Electronic Engineering, Xidian University – sequence: 2 givenname: Lihui orcidid: 0000-0001-8679-8049 surname: Wang fullname: Wang, Lihui email: lihui.wang@iip.kth.se organization: Department of Production Engineering, KTH Royal Institute of Technology – sequence: 3 givenname: Xi Vincent orcidid: 0000-0001-9694-0483 surname: Wang fullname: Wang, Xi Vincent organization: Department of Production Engineering, KTH Royal Institute of Technology – sequence: 4 givenname: Xun orcidid: 0000-0001-6294-8153 surname: Xu fullname: Xu, Xun organization: Department of Mechanical Engineering, The University of Auckland – sequence: 5 givenname: Lin orcidid: 0000-0003-1989-6102 surname: Zhang fullname: Zhang, Lin organization: School of Automation Science and Electrical Engineering, Beihang University |
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| Snippet | For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud... |
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| SubjectTerms | Citation indexes Cloud computing cloud manufacturing Manufacturing Scheduling service composition service selection Space shuttle Statistical analysis Supply chains task decomposition |
| Title | Scheduling in cloud manufacturing: state-of-the-art and research challenges |
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