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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) Al Khawarizmi, Ibnu Nafis; Narto, Narto; Suparno, Suparno
Priviet Social Sciences Journal Vol. 6 No. 1 (2026): January 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i1.1222

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.
Recommendations for reducing waste and bullwhip effect in Supply Chain Management (SCM) flow at a Bakery Company AA Indah (Gresik, East Java) Iksan, Iksan; Al Khawarizmi, Ibnu Nafis
Priviet Social Sciences Journal Vol. 6 No. 5 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i5.1799

Abstract

Waste and information distortion exist in the supply chain management flow of bread production. Researchers have analyzed waste using value stream mapping tools and calculated the Bullwhip Effect (BE) value using the BE formula, providing improvement recommendations using failure mode effects and analysis. The identified wastes were waiting, excessive transportation, and defects. The tools used were process activity mapping (PAM) and a Supply Chain Response Matrix (SCRM). PAM analysis identified 11 operation activities, 1 transportation activity, 1 inspection activity, 1 storage activity, and 2 delay activities. Meanwhile, the day physical stock is 0.9412, with a lead time of 30 days. Based on the BE value calculation, the bread product in 2024 shows a BE value of 1.0540 for one year. Thus, demand amplification occurred for bread products in 2024. From waste identification using a cause-and-effect diagram and improvements using failure mode effects and analysis, recommendations for improving waiting time include implementing machine maintenance scheduling to prevent delays and evaluating and rearranging workflows to reduce waiting time between processes. For excessive transportation waste, the recommendations are rearranging the machine layout, optimizing goods delivery routes, implementing just-in-time methods to reduce the inventory that needs to be moved, and using technology to manage information flow more efficiently. Defect improvement recommendations include comprehensive operator training, establishment of strict work standards, use of quality checklists, application of quality management tools such as Pareto charts and 5 Why, conducting routine process evaluations, and ensuring continuous monitoring and quality control.