Supply chain performance analysis using the SCOR method


  • Nimas Ayu Anisatussariroh Management Department, University of Lampung
  • Rr. Erlina Management Department, University of Lampung



Performance Measurement, Supply Chain, SCOR, Normalization, AHP


The current era of globalization requires companies to meet market demands in order to get the right tactics or strategy. This research was conducted at PT. Budi Starch & Sweetener has several obstacles in carrying out its supply chain activities such as delivery delays, supply uncertainty and problems in the production process. So, measuring Supply Chain performance is very important so that companies can know the extent of Supply Chain performance achieved by the company. Supply chain performance measurement is carried out using the Supply Chain Operations Reference (SCOR) method with the Key Performance Indicator (KPI) validation phase, calculation of actual KPI values, and weighting of metrics for each level using the Analytical Hierarchy Process (AHP) method. After processing the data, the result was that 16 performance indicators were selected from a total of 36 performance indicators. To determine the main criteria and priorities, performance indicators are weighted using the AHP method. The calculation result of the total performance value is 76,41, so the performance measurement at PT. Budi Starch & Sweetener Tbk is included in the good scale. However, the results of data processing of actual values which were then normalized to Snorm De Boer still contained 5 indicators which showed a value of less than 90 and required improvement, namely accuracy of estimates, raw material planning, on-time delivery performance by suppliers, compliance with production schedules, and number of problems. machine. It is hoped that companies can issue appropriate policies regarding of these five performance indicators, so that the level of achievement of Supply Chain Management (SCM) targets in companies can be further increased.




How to Cite

Anisatussariroh, N. A., & Rr. Erlina. (2024). Supply chain performance analysis using the SCOR method . Asian Journal of Economics and Business Management, 3(1), 413–420.