Integrated supply chain management performance evaluation model in the manufacturing industry of PT XYZ

Integrated supply chain management performance evaluation model in the manufacturing industry of PT XYZ

Authors

  • Ratna Sari Dewi Industrial Engineering Departement, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia
  • Moehamad Aman Industrial Engineering Departement, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia
  • Eko Muhammad Widodo Industrial Engineering Departement, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia
  • Affan Rifa`i Industrial Engineering Departement, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia
  • Tuessi Ari Purnomo Industrial Engineering Departement, Faculty of Engineering, Muhammadiyah University of Magelang, Magelang, Indonesia

Keywords:

Supply chain, SCOR, AHP, Balanced scorecard

Abstract

Material delays remain a critical bottleneck in the production process of PT XYZ, a manufacturing company highly dependent on supply chain reliability. This study aims to identify the root causes of these delays, evaluate supply chain reliability, and propose improvement strategies using the SCOR model integrated with AHP and analyzed through the Balanced Scorecard approach. The results indicate that overall supply chain reliability reaches 95.48%, suggesting good performance but still below the ideal target. Four key performance gaps are identified at level 3, with the most critical being a 31.72% deviation in Supplier Achievement to Original Organization Commit Date. This significant gap indicates systemic issues in supplier delivery timeliness, primarily caused by weak coordination, lack of real-time monitoring, and inadequate supplier performance control mechanisms. Unlike minor gaps (≤2.52%) related to quantity accuracy and product condition, this large deviation has a cascading impact on production scheduling, increases emergency logistics costs, and disrupts downstream operations. It also reflects structural weaknesses rather than isolated operational errors. Additional gaps are found in delivery quantity accuracy (2.52%), damage-free conformance (2.52%), and defect-free conformance (1.48%). These issues collectively contribute to increased operational costs, reduced customer satisfaction, and inefficiencies in internal processes. To address these challenges, this study recommends implementing barcode-based tracking systems, standardized packaging, an integrated procurement monitoring system, and supplier quality gates to enhance overall supply chain performance.

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Published

2026-05-04

How to Cite

Integrated supply chain management performance evaluation model in the manufacturing industry of PT XYZ. (2026). BIS Energy and Engineering, 3, V326021. https://doi.org/10.31603/biseeng.562

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