Limits...
Proactive supply chain performance management with predictive analytics.

Stefanovic N - ScientificWorldJournal (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute of Mathematics and Informatics, Faculty of Science, University of Kragujevac, Radoja Domanovica 12, 34000 Kragujevac, Serbia.

ABSTRACT
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.

Show MeSH
Supply chain performance measurement maturity model.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4214046&req=5

fig1: Supply chain performance measurement maturity model.

Mentions: Only a few leading-edge companies are currently using true extended PM systems (either in-house developed or implemented PM software applications) that not only measure the performance of their enterprise but also measure that of their supply chain wide activities. Most companies are still in the internal or integrated stage of the maturity model (as shown in Figure 1) where they focus on the performance of their own enterprise and measure their supply chain performance with financially oriented metrics [19].


Proactive supply chain performance management with predictive analytics.

Stefanovic N - ScientificWorldJournal (2014)

Supply chain performance measurement maturity model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4214046&req=5

fig1: Supply chain performance measurement maturity model.
Mentions: Only a few leading-edge companies are currently using true extended PM systems (either in-house developed or implemented PM software applications) that not only measure the performance of their enterprise but also measure that of their supply chain wide activities. Most companies are still in the internal or integrated stage of the maturity model (as shown in Figure 1) where they focus on the performance of their own enterprise and measure their supply chain performance with financially oriented metrics [19].

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute of Mathematics and Informatics, Faculty of Science, University of Kragujevac, Radoja Domanovica 12, 34000 Kragujevac, Serbia.

ABSTRACT
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.

Show MeSH