Combination of supply chain operation reference and analytical hierarchy process methods in measuring supply chain management performance in the metal industry

Authors

  • Oki Widhi Nugroho Industrial Engineering Study Program, Universitas Bhayangkara Jakarta Raya, Jl. Raya Perjuangan No. 81, Bekasi City, West Java 17143, Indonesia
  • Roberta Heni Anggit Tanisri Industrial Engineering Study Program, Universitas Bhayangkara Jakarta Raya, Jl. Raya Perjuangan No. 81, Bekasi City, West Java 17143, Indonesia https://orcid.org/0009-0008-5326-2860
  • Alloysius Vendhi Prasmoro Industrial Engineering Study Program, Universitas Bhayangkara Jakarta Raya, Jl. Raya Perjuangan No. 81, Bekasi City, West Java 17143, Indonesia
  • Iskandar Zulkarnaen Industrial Engineering Study Program, Universitas Islam As-Syafi’iyah, Jl. Raya Jatiwaringin No. 12, Jaticempaka, Kec. Pd. Gede, Bekasi City West Java 17411, Indonesia
  • Hibarkah Kurnia Industrial Engineering Study Program, Universitas Pelita Bangsa, Jl. Kalimalang Inspection No.09, Cikarang Bekasi, West Java 17530, Indonesia

DOI:

https://doi.org/10.31315/opsi.v18i2.13408

Keywords:

Analytical hierarchy process , Metal industry , Performance measurement , Supply chain operation reference , Snorm de boer

Abstract

The metal manufacturing industry's supply chain faces problems with inaccurate sales demand analysis, with a 9% discrepancy between forecasted and actual demand. Production activity times are 23% inconsistent with established plans. Shipments of goods are inconsistent with sales orders, preventing the metal company from achieving its delivery targets. This study aims to analyze supply chain performance measurements and provide suggestions for improvements to the results of these measurements. This research method combines the Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process (AHP) methods. This study identified 17 selected performance indicators and prioritized attributes, namely reliability, responsiveness, and agility. The results of data processing through performance indicator weighting yielded a total SCM performance score of 90.90, with 5 performance indicators requiring improvement. Therefore, the proposed improvements focus more on these 5 dominant indicators. The contribution of this study to the analysis of SCOR and AHP performance measurements is that companies are expected to maximize their supply chains, thereby increasing industrial productivity and gaining a competitive advantage.

 

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2025-12-30

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Vol. 18 No. 2 (2025): OPSI - December 2025

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