Evaluasi Efektivitas Smart Vending Machine dalam Pengelolaan Persediaan Core Pin Berbasis Key Performance Indicator Menggunakan Kerangka Dmaic di PT XYZ
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Penelitian ini bertujuan mengevaluasi efektivitas smart vending machine dalam pengelolaan persediaan core pin berdasarkan Key Performance Indicator (KPI) stock accuracy, availability, lead time, dan traceability serta menyusun rekomendasi perbaikan menggunakan kerangka DMAIC. Penelitian menggunakan pendekatan kuantitatif deskriptif-evaluatif pada pengelolaan core pin di Departemen Maintenance Mold PT XYZ. Data stock accuracy, availability, dan traceability menggunakan data sistem periode Januari–Desember 2025, sedangkan lead time diperoleh dari 10 observasi langsung pada 8, 10, dan 11 Juni 2026. Data dikumpulkan melalui dokumentasi sistem dan observasi, kemudian divalidasi dan dianalisis melalui tahapan Define, Measure, Analyze, Improve, dan Control. Hasil menunjukkan rata-rata stock accuracy sebesar 92,57%, availability 84,84%, lead time 40,7 detik, dan traceability 100% berdasarkan kelengkapan atribut transaksi. Availability terendah terjadi pada November 2025 sebesar 80,56%, sedangkan stock accuracy terendah terjadi pada Februari sebesar 82,99%. Analisis menunjukkan bahwa efektivitas sistem masih dipengaruhi ketepatan input pengguna, konsistensi stock opname, tindak lanjut SKU warning atau stok nol, serta efisiensi pencarian item. Rekomendasi meliputi penguatan prosedur input, cycle count berbasis prioritas SKU, monitoring warning/stok nol, standardisasi pencarian item, verifikasi transaksi secara sampling, dan penetapan target KPI.
Evaluation of the Effectiveness of a Smart Vending Machine in Core Pin Inventory Management Based on Key Performance Indicators Using the DMAIC Framework at PT XYZ
Abstract
This study aims to evaluate the effectiveness of a smart vending machine in core pin inventory management using four Key Performance Indicators (KPIs) stock accuracy, availability, lead time, and traceability and to formulate improvement recommendations using the DMAIC framework. A quantitative descriptive-evaluative approach was applied to core pin inventory management in the Mold Maintenance Department of PT XYZ. Stock accuracy, availability, and traceability data covered January December 2025, while lead time data were obtained from 10 direct observations conducted on 8, 10, and 11 June 2026. Data were collected through system documentation and direct observation, followed by validation and analysis through Define, Measure, Analyze, Improve, and Control. The results showed average stock accuracy of 92.57%, availability of 84.84%, lead time of 40.7 seconds, and traceability of 100% based on transaction-data completeness. The lowest availability was recorded in November 2025 at 80.56%, while the lowest stock accuracy occurred in February at 82.99%. The analysis indicates that system effectiveness is still influenced by user input accuracy, consistency of stock opname, follow-up of warning or zero-stock SKUs, and item-search efficiency. Recommended improvements include strengthening input procedures, priority-based cycle counting, monitoring warning/zero-stock SKUs, standardizing item-search information, sampling-based transaction verification, and establishing KPI targets.
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