Proactive Supply Chain Performance Management with Predictive Analytics
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-15
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics.
This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model.
It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details.
The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators).
Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model.
KPI predictive models were trained and tested with a real-world data set.
Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented.
The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems.
This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.
American Psychological Association (APA)
Stefanovic, Nenad. 2014. Proactive Supply Chain Performance Management with Predictive Analytics. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1049990
Modern Language Association (MLA)
Stefanovic, Nenad. Proactive Supply Chain Performance Management with Predictive Analytics. The Scientific World Journal No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1049990
American Medical Association (AMA)
Stefanovic, Nenad. Proactive Supply Chain Performance Management with Predictive Analytics. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1049990
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049990