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.
automation modelling supply chain management business analysis electronic commerce