期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 101, 期 -, 页码 572-591出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2016.07.013
关键词
Big Data; Service applications; Manufacturing sector; Supply Chain Management (SCM)
资金
- National Natural Science Foundation of China [51405307, 61473093, 61540030]
- China Postdoctoral Science Foundation [2015M570720]
Data from service and manufacturing sectors is increasing sharply and lifts up a growing enthusiasm for the notion of Big Data. This paper investigates representative Big Data applications from typical services like finance & economics, healthcare, Supply Chain Management (SCM), and manufacturing sector. Current technologies from key aspects of storage technology, data processing technology, data visualization technique, Big Data analytics, as well as models and algorithms are reviewed. This paper then provides a discussion from analyzing current movements on the Big Data for SCM in service and manufacturing world-wide including North America, Europe, and Asia Pacific region. Current challenges, opportunities, and future perspectives such as data collection methods, data transmission, data storage, processing technologies for Big Data, Big Data-enabled decision-making models, as well as Big Data interpretation and application are highlighted. Observations and insights from this paper could be referred by academia and practitioners when implementing Big Data analytics in the service and manufacturing sectors. (C) 2016 Elsevier Ltd. All rights reserved.
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