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Automating the construction of supply chain key performance indicators

Automating the construction of supply chain key performance indicators Purpose – This paper aims to automate the supply chain operations reference (SCOR) model as an enabler for process‐oriented supply chain business intelligence. Design/methodology/approach – The hypothesis is the following: SCOR model automation is possible using data that is directly extracted from integrated enterprise systems. To test the hypothesis, an alignment product that allows the SCOR model to be automated with information that is directly extracted from the Oracle E‐Business Suite was developed. Findings – In order to achieve the full benefits from the SCOR model, effective business process management and the SCOR key performance indicators (KPIs) must be implemented and used. Unless data collection to support KPI construction is automated, it is difficult to institutionalize the SCOR model as a measurement and benchmarking framework. We have demonstrated that automated support for KPIs is feasible and achievable. Research limitations/implications – The E‐Business Suite is a single enterprise solution, but we assert that the same procedures could be followed with other enterprise solutions or even applied in a legacy system environment. Originality/value – The developed solution described in the paper can immediately be applied to the design, development, and deployment of corporate performance management systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Automating the construction of supply chain key performance indicators

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-5577
DOI
10.1108/02635570810883996
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to automate the supply chain operations reference (SCOR) model as an enabler for process‐oriented supply chain business intelligence. Design/methodology/approach – The hypothesis is the following: SCOR model automation is possible using data that is directly extracted from integrated enterprise systems. To test the hypothesis, an alignment product that allows the SCOR model to be automated with information that is directly extracted from the Oracle E‐Business Suite was developed. Findings – In order to achieve the full benefits from the SCOR model, effective business process management and the SCOR key performance indicators (KPIs) must be implemented and used. Unless data collection to support KPI construction is automated, it is difficult to institutionalize the SCOR model as a measurement and benchmarking framework. We have demonstrated that automated support for KPIs is feasible and achievable. Research limitations/implications – The E‐Business Suite is a single enterprise solution, but we assert that the same procedures could be followed with other enterprise solutions or even applied in a legacy system environment. Originality/value – The developed solution described in the paper can immediately be applied to the design, development, and deployment of corporate performance management systems.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Jun 27, 2008

Keywords: Supply chain management; Business analysis; Electronic commerce; Modelling; Automation

References