Design of Supply Chain Management (SCM) performance measurement model using SCOR and Analytical Hierarchy Process (AHP): A case study at PT. Circle Pro Group (Central Java-Klaten)

Ibnu Nafis  Al Khawarizmi; Narto Narto; Suparno Suparno

doi:10.55942/pssj.v6i1.1222

Authors

Ibnu Nafis Universitas Qomaruddin
Narto Narto Universitas Qomaruddin
Suparno Suparno Universitas Qomaruddin

DOI:

https://doi.org/10.55942/pssj.v6i1.1222

Keywords:

Supply Chain Management, performance, measurement, SCOR Model AHP, performance improvement

Abstract

This study aims to design a performance measurement model for Supply Chain Management (SCM) at PT Circle Pro Group, Klaten, Central Java, using the Supply Chain Operations Reference (SCOR) model and Analytical Hierarchy Process (AHP). The PT Circle Pro Group has not implemented any SCM performance measurement system, resulting in unclear performance levels and difficulties in identifying improvement priorities. The SCOR model was used to structure SCM activities into Plan, Source, Make, Deliver, and Return, whereas AHP was applied to determine the weight and priority of performance indicators. A total of 17 validated indicators were developed based on the SCOR processes and company conditions. The measurement results indicated an SCM performance score of 91.47, which was categorized as above average. However, several indicators scored below 90, particularly forecast accuracy, raw material planning, and supplier delivery punctuality. Recommendations for improvement include strengthening forecasting processes, optimizing procurement planning, and enhancing supplier performance evaluation. This study produces a structured SCM performance measurement model tailored for PT Circle Pro Group, enabling continuous evaluation and improvement. The model can be adapted by other service-based companies with similar operational characteristics.

Author Biographies

Ibnu Nafis, Universitas Qomaruddin

Ibnu Nafis Al Khawarizmi is an Industrial Engineering graduate from Universitas Qomaruddin with research interests in supply chain management, operational performance measurement, and digital service optimization.

Narto Narto, Universitas Qomaruddin

Narto is a faculty member and Head of the Industrial Engineering Department at Universitas Qomaruddin. He specializes in supply chain management, strategic management, and organizational performance improvement. As the primary academic advisor

Suparno Suparno, Universitas Qomaruddin

Suparno is a lecturer in the Department of Industrial Engineering at Qomaruddin University with expertise in the SCOR framework, supply chain analysis, and forecasting methods. He contributed to the refinement of the methodology and ensured the technical accuracy of the SCOR–AHP integration.

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