Analysis Of Material Delivery Delays Using Fishbone Diagram And 5W1H Method At PT X
Analisis Penyebab Keterlambatan Pengiriman Material Menggunakan Fishbone Diagram dan Metode 5W1H Pada PT X
DOI:
https://doi.org/10.21070/pels.v10i1.3131Keywords:
Material Delivery Delay, Warehouse Operations, Fishbone Diagram, 5W1H Method, Root Cause AnalysisAbstract
General Background Industrial warehouse operations are critical for ensuring the continuous availability of materials required for uninterrupted production and project implementation. Specific Background In industrial cooling system installations, delays in dispatching materials from the warehouse directly disrupt strict project schedules and significantly increase operational waiting times. Knowledge Gap Although delivery delays are often recorded, the specific systemic factors such as discrepancies between physical stock and digital records are rarely isolated and translated into actionable, standardized operating procedures within active refrigeration manufacturing environments. Aims This study investigates the root causes of material dispatch delays and formulates structured corrective actions utilizing the Fishbone Diagram and 5W1H methodologies. Results Observational data from 360 dispatch activities revealed a 16.67 percent delay rate, encompassing 60 late deliveries. The analysis identified mismatched stock data as the primary failure, accounting for 30 percent of the delays, followed by material location difficulties at 25 percent, and the absence of dispatch checklists at 18.33 percent. Utilizing the 5W1H framework, corrective actions were formulated, specifically mandating weekly stock opname protocols, the implementation of standardized dispatch checklists, and systematic storage location labeling. Novelty This research directly correlates specific warehouse layout and documentation failures to exact delivery delay frequencies within the specialized industrial refrigeration sector. Implications Implementing mandated weekly inventory reconciliations and strict dispatch checklists eliminates data mismatches, significantly reducing material delivery delays and ensuring continuous production schedules.
Highlights:
-
Evaluating 360 material dispatch activities revealed 60 delays, representing a 16.67 percent failure rate in warehouse operations.
-
Mismatched stock data caused 30 percent of delivery delays, while material location difficulties accounted for 25 percent.
-
Mandating weekly stock opname protocols and standardized dispatch checklists strictly eliminates data mismatches and reduces delivery delays.
Keywords: Material Delivery Delay, Warehouse Operations, Fishbone Diagram, 5W1H Method, Root Cause Analysis
Downloads
References
N. Franciska, S. Tinggi, I. Ekonomi, K. Sukoharjo, and J. Tengah, “Analisis Faktor-Faktor Penyebab Terjadinya Selisih Jumlah Stock Barang di Gudang PT. Solo Murni Boyolali Menggunakan Metode 5W + 1H dan Fishbone Diagram,” vol. 2, no. 2, pp. 74–87, 2025.
Y. Nursyanti and R. Partisia, “Analisis Discrepancy Inventaris di Gudang Menggunakan Root Cause Analysis,” vol. 3, no. 3, pp. 313–323, 2024.
W. Analysis, “MIX: Jurnal Ilmiah Manajemen,” pp. 772–786.
Y. A. Budiyani and S. Hartini, “Analisis Terjadinya Keterlambatan pada Distribusi Cargo Curah dari Kapal ke Warehouse Menggunakan Metode Fishbone Diagram dan 5W + 1H (Studi Kasus: PT XYZ).”
I. Artikel, “Analisis Fishbone sebagai Implementasi Solusi Keterlambatan Faktur pada Gudang Farmasi,” vol. 3, no. 2, pp. 1658–1661, 2023.
S. Kasus, P. T. Gajah, and T. Tbk, “Analisis Preventive Maintenance dengan Metode Menghitung Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR),” pp. 87–94.
J. Han, J. Kim, and S. Lee, “5W1H-Based Expression for the Effective Sharing of Information in Digital Forensic Investigations,” pp. 1–10.
P. Name et al., “6431 Words Excluded from Similarity Report Internet Database Crossref Database Bibliographic Material Publications Database Cited Material Preventive Maintenance Analysis Based on Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR),” 2024.
R. Inda and D. Suyatmo, “Analisis Preventive Maintenance Berdasarkan Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR) pada Alat Blow Molding di PT XYZ,” vol. 2, no. 8, pp. 3471–3478, 2023.
J. Guritno and A. S. Cahyana, “Implementation of Autonomous Maintenance in Total Productive Maintenance (Implementasi Autonomous Maintenance dalam Penerapan Total Productive Maintenance),” vol. 1, no. 2, 2021.
A. C. Amin, I. Apriliana, and S. Wulandari, “Optimization of City Transport Maintenance and Reliability Centered Maintenance (RCM) Methods (Optimasi Perawatan Angkutan Kota dengan Menggunakan Metode Reliability Centered Maintenance (RCM)),” pp. 1–9.
C. Ramadhanti, I. Pramestiana, and S. Nurulita, “Analisis Penerapan Lean Warehouse untuk Meminimalisir Waste Menggunakan Value Stream,” vol. 9, no. 2, 2023.
N. C. Rizani and M. S. Laksmana, “Analisis Evaluasi Metode Kerja pada Proses Pre-Delivery di PT. XYZ Menggunakan Fishbone Diagram dan 5W + 1H,” vol. 34, no. 3, 2024.
E. Setiawan, M. Sulungbudi, and K. Fitriani, “Identifying Project Delays in the Engineering Division of a Manufacturing Company: Using the Fishbone Diagram and Root Cause Approach,” vol. 8, no. 2, pp. 148–161, 2024.
J. D. Saputri and B. I. Putra, “Identifikasi Risiko Kerja pada Proses Produksi Kaleng Menggunakan Metode HIRADC dan RCA,” no. 4, pp. 1–24, 2025.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Mochamad Haikal Firmansyah, Boy Isma Putra
This work is licensed under a Creative Commons Attribution 4.0 International License.
