Wulandari, Lusi Mei C and Nurhayati, Lilis and Dimas, Ravael and Pijoh, Fidelchristo (2026) Measurement of SC logistics performance with SCOR-FUZZY AHP method. TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika, 13 (1). pp. 152-161. ISSN 2087-3336
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Abstract
Sector Logistics plays an important role in maintaining the smoothness and efficiency of national and global supply
chains, especially for third-party logistics ( 3PL ) service providers who face demands for reliability and speed of
service amidst global competition. The complexity of the logistics process creates the need for a structured and
measurable performance evaluation model. This study aims to apply the Supply Chain Operations Reference (SCOR ) model in identifying and prioritizing key performance indicators ( KPI ) in a 3PL company . The method used involves distributing questionnaires to decision makers in operational and managerial fields. The weights of
SCOR performance attributes including reliability, responsiveness, flexibility, cost measures, and asset
management efficiency are calculated using the Fuzzy Analytic Hierarchy Process ( FAHP ) method. Furthermore,
the Technique for Order Preference by Similarity to Ideal Solution ( TOPSIS ) is used to determine KPI priorities
at PT.X. The results of the study show that there are 17 indicators to measure the performance of the freight
forwarding sector with the largest weight being operator reliability (0.251) on the reliability attribute, the number
of on-time deliveries (0.694) on the responsiveness attribute, load flexibility (0.317) on the flexibility attribute,
shipping costs per km (0.379) on the cost attribute and cash-to-cash cycle time (0.479) on the asset management
attribute. The SCOR model has proven effective as an initial framework in measuring the performance of 3PL
logistics service providers, because it is able to integrate various aspects of performance systematically and
quantitatively.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sector Logistics plays an important role in maintaining the smoothness and efficiency of national and global supply chains, especially for third-party logistics ( 3PL ) service providers who face demands for reliability and speed of service amidst global competition. The complexity of the logistics process creates the need for a structured and measurable performance evaluation model. This study aims to apply the Supply Chain Operations Reference ( SCOR ) model in identifying and prioritizing key performance indicators ( KPI ) in a 3PL company . The method used involves distributing questionnaires to decision makers in operational and managerial fields. The weights of SCOR performance attributes including reliability, responsiveness, flexibility, cost measures, and asset management efficiency are calculated using the Fuzzy Analytic Hierarchy Process ( FAHP ) method. Furthermore, the Technique for Order Preference by Similarity to Ideal Solution ( TOPSIS ) is used to determine KPI priorities at PT.X. The results of the study show that there are 17 indicators to measure the performance of the freight forwarding sector with the largest weight being operator reliability (0.251) on the reliability attribute, the number of on-time deliveries (0.694) on the responsiveness attribute, load flexibility (0.317) on the flexibility attribute, shipping costs per km (0.379) on the cost attribute and cash-to-cash cycle time (0.479) on the asset management attribute. The SCOR model has proven effective as an initial framework in measuring the performance of 3PL logistics service providers, because it is able to integrate various aspects of performance systematically and quantitatively. |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management L Education > L Education (General) T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik > Prodi Teknik Industri |
| Depositing User: | Lilis Nurhayati |
| Date Deposited: | 25 Feb 2026 08:18 |
| Last Modified: | 25 Feb 2026 08:18 |
| URI: | https://repositori.ukdc.ac.id/id/eprint/2555 |
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