Analysis of Supply Chain Performance in the CPO Production Process Using the Supply Chain Operations Reference (SCOR) Method

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Authors: Guntur Panamuant, Wahyu Mushollaeni, Lorine Tantalu
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Abstract

PT Kebun Ganda Prima–Palm Oil Mill (PT KGP–PKS) Kembayan is a company engaged in oil palm plantation and processing, with Crude Palm Oil (CPO) as its primary product. The company faces several challenges related to the performance of its CPO production supply chain. This study aims to evaluate the performance of the CPO supply chain and propose best-practice recommendations to enhance its efficiency and effectiveness. The research applies the Supply Chain Operations Reference (SCOR) model to assess supply chain performance based on three key attributes: Reliability, Responsiveness, and Flexibility. Performance evaluation is conducted through benchmarking by comparing actual operational data with company-defined targets, followed by inefficiency analysis to identify performance gaps. Subsequently, a best-practice analysis is performed to formulate improvement strategies. The results indicate that the supply chain reliability of PT KGP–PKS Kembayan is at a satisfactory level, with a Perfect Order Fulfillment (POF) rate of 87.11%. Full order delivery reached 100% with no returns, document accuracy and product condition also achieved 100%, while on-time delivery accuracy was 87.11%, with a delay rate of 12.89%. In terms of responsiveness, the order fulfillment lead time was 6.33 days (151.92 hours), which is below the company’s standard of seven days and therefore considered acceptable. Regarding flexibility, the supply chain requires an additional three days (72 hours) to respond to disruptions, indicating a good adaptive capacity. Overall, the findings provide a basis for targeted improvements to enhance the performance of the CPO supply chain at PT KGP–PKS Kembayan.

Fields of Study & Subjects

Quality and Supply Management Supply Chain Resilience and Risk Management Management and Optimization Techniques

Publication details

Journal / source
ICoBITS
Volume
1
Pages
580–591
Publication date
19 January 2026