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Automating the construction of supply chain key performance indicators

Thomas Gulledge (Enterprise Integration, Inc., Alexandria, Virginia, USA George Mason University, Fairfax, Virginia, USA)
Tamer Chavusholu (Senior Oracle Enterprise Architect, Point Roberts, Washington, DC, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 27 June 2008

6809

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.

Keywords

Citation

Gulledge, T. and Chavusholu, T. (2008), "Automating the construction of supply chain key performance indicators", Industrial Management & Data Systems, Vol. 108 No. 6, pp. 750-774. https://doi.org/10.1108/02635570810883996

Publisher

:

Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

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