Nawakasari, Nawang (2025) Analisis Efisiensi Gudang Dengan Menggunakan Model Data Envelopment Analysis (DEA) di PT Nusa Indah. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini bertujuan untuk mengevaluasi efisiensi operasional gudang distribusi di PT Nusa Indah, sebuah perusahaan dalam industri Fast Moving Consumer Goods (FMCG), menggunakan pendekatan kuantitatif Data Envelopment Analysis (DEA) dengan model Technical Efficiency Variable Return to Scale (TE VRS) berorientasi output. Penilaian dilakukan terhadap 86 unit gudang (Decision Making Units - DMU) pada tahun 2024 berdasarkan empat variabel input Warehouse Damage, Deadstock 90 Hari, Durasi Picking, dan Truck Stay Duration serta dua variabel output yaitu Order Fulfillment Rate (OFR) dan Pcs per Mandays. Metode DEA digunakan untuk mengidentifikasi unit yang beroperasi secara efisien dan tidak efisien, serta memberikan dasar perbandingan melalui peer group dan target perbaikan untuk unit yang perlu ditingkatkan. Hasil analisis menunjukkan variasi signifikan dalam efisiensi antar unit: 16 dari 38 gudang di Jawa (gudang Caringin dengan skor terendah 0,8896) dan 17 dari 44 gudang di Sumatera (gudang Medan dengan skor terendah 0,7465) beroperasi efisien, sementara keempat gudang di Kalimantan seluruhnya efisien. Secara keseluruhan, peningkatan output Pcs per Mandays dan pengurangan input Truck Stay Duration diidentifikasi sebagai area dengan potensi perbaikan terbesar untuk mencapai efisiensi operasional. Temuan ini mengindikasikan perlunya strategi perbaikan operasional, alokasi sumber daya yang lebih optimal, dan memberikan kontribusi praktis dalam penyusunan kebijakan manajemen distribusi untuk penguatan daya saing perusahaan di industri FMCG
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This study aims to evaluate the operational efficiency of distribution warehouses at PT Nusa Indah, a company in the Fast Moving Consumer Goods (FMCG) industry, using a quantitative Data Envelopment Analysis (DEA) approach with an output-oriented Technical Efficiency Variable Return to Scale (TE VRS) model. The assessment was conducted on 86 warehouse units (Decision Making Units - DMUs) in 2024 based on four input variables Warehouse Damage, 90-Day Deadstock, Picking Duration, and Truck Stay Duration and two output variables, namely Order Fulfillment Rate (OFR) and Pcs per Mandays. The DEA method was used to identify efficiently and inefficiently operating units, as well as to provide a basis for comparison through peer groups and improvement targets for units needing enhancement. The analysis results show significant variation in efficiency among units: 16 out of 38 warehouses in Java (Caringin warehouse with the lowest score of 0.8896) and 17 out of 44 warehouses in Sumatra (Medan warehouse with the lowest score of 0.7465) operate efficiently, while all four warehouses in Kalimantan are efficient. Overall, increasing the Pcs per Mandays output and reducing the Truck Stay Duration input were identified as areas with the greatest potential for improvement to achieve operational efficiency. These findings indicate the need for operational improvement strategies, more optimal resource allocation, and provide practical contributions to the formulation of distribution management policies to strengthen the company's competitiveness in the FMCG industry
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Efisiensi, Data Envelopment Analysis (DEA), Supply Chain Management, Gudang, FMCG. Efficiency, Data Envelopment Analysis (DEA), Supply Chain Management, Warehouse, FMCG. |
| Subjects: | H Social Sciences > HA Statistics > HA31.38 Data envelopment analysis. H Social Sciences > HD Industries. Land use. Labor > HD56.25 Industrial efficiency--Measurement. Industrial productivity--Measurement. |
| Divisions: | 61101-Magister Management Technology |
| Depositing User: | Nawang Nawakasari |
| Date Deposited: | 23 Jul 2025 02:39 |
| Last Modified: | 23 Jul 2025 02:39 |
| URI: | http://repository.its.ac.id/id/eprint/120783 |
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