Reducing Packaging Damage in Distribution through FMEA and 5W+1H: A Case Study in the Textile Industry

This case study examines packaging damage in the Distribution and Transportation Warehouse of PT Mulia Knitting Factory. Observation, interviews, company records, and assessments from three operational respondents were used to identify failure modes and propose controls. The reported July–September records contain 84 packaging-damage records across 1,894 shipments; the units of these two measures require confirmation before interpretation as a shipment damage rate. The revised Failure Mode and Effect Analysis (FMEA) calculates each respondent’s Risk Priority Number (RPN) as Severity × Occurrence × Detection and summarizes each failure mode by multiplying the three mean component scores. Shipment damage has the highest aggregate RPN (356.07), followed by damage during transfer to the vehicle (290.00) and storage damage (101.33). Under the explicit study-specific classification used in this revision, these are very high, very high, and high, respectively. The 5W+1H analysis links proposed customer reports, work instructions, and inspection checklists to material weaknesses, inconsistent handling, and missed defects. No post-implementation results are available; the measures are proposals whose effectiveness requires prospective evaluation. Incomplete documentation of the original rating anchors limits interpretation of the risk scores

distribution warehouse; packaging damage; FMEA; risk priority number; 5W+1H

1. Abdussalam, I., & Donoriyanto, D. S. (2024). Analysis of Production-Process Failure Risks in Bakpia Production Using the FMEA Method at Bakpia AS Sidoarjo. JT-IBSI (Jurnal Teknik Ibnu Sina), 9(2), 104-114. [Google Scholar] [Crossref]

2. Hadi, W., Ladesi, V. K., Azisah, N., Prima, L., & Narayanasamy, R. (2026). Raw Material Logistics Performance Measurement Using OMAX Method. Jurnal Manajemen Industri dan Logistik, 10(1), 78-94. [Google Scholar] [Crossref]

3. Kusnadi, D., & Yulia, E. R. (2023). Website-Based Stocktaking Program Information System. IMTechno: Journal of Industrial Management and Technology, 4(1), 21-25. https://doi.org/10.31294/imtechno.v4i1.1548 [Google Scholar] [Crossref]

4. Musyaffa, H. A., Roestan, M. R., Nurrasjid, E. S., & Kustiyawan, I. (2024). Risk Study of Raw-Material Storage and Distribution Processes in a Pharmaceutical Industry Warehouse Using the Failure Mode and Effect Analysis Approach. Jurnal Ilmu Kesehatan dan Gizi, 2(3), 202-211. [Google Scholar] [Crossref]

5. Nursani, D., & Rachman, A. (2021). Introduction to Supply Chain Management Module. Jakarta: Center for Education and Training in Government Procurement of Goods/Services, National Public Procurement Agency (LKPP). [Google Scholar] [Crossref]

6. Prasetya, R. Y., Suhermanto, S., & Muryanto, M. (2021). Implementation of FMEA in Analyzing Production Process Failure Risks Based on RPN. Performa: Media Ilmiah Teknik Industri, 20(2), 133. https://doi.org/10.20961/performa.20.2.52219 [Google Scholar] [Crossref]

7. Purbasari, R., Jamil, N., Novel, A., & Kostini, N. (2020). Logistics Digitalization in Supporting E-Logistics Performance in the Digital Era: A Literature Review. Management, Business and Logistics (JOMBLO), 01(02), 177-196. [Google Scholar] [Crossref]

8. Rosih, A. R., Choiri, M., & Yuniarti, R. (n.d.). Operational risk analysis in the logistics department using the FMEA method (Vol. 3, Issue 3). [Google Scholar] [Crossref]

9. Sabillah, A. S. S., Negoro, Y. P., & Hidayat, H. (2024). Analysis of Fried Instant Noodle Packaging Damage Levels Using Six Sigma and FMEA at PT Karunia Alam Segar. G-Tech: Jurnal Teknologi Terapan, 8(2), 1261-1271. https://doi.org/10.33379/gtech.v8i2.4227 [Google Scholar] [Crossref]

10. Siregar, M. T., & Hidayat, S. (2025). Automated Pick & Stow Robot System for Sorting in an e-Commerce Warehouse. Journal of Mechanical, Civil & Industrial Engineering, 6(4), 17. [Google Scholar] [Crossref]

11. Siregar, M. T., Zagloel, Y. M., & Setiawan, A. D. (2025). Application of Delphi and Servqual Methods for Quality Improvement of Logistics Services. Calitatea, 26(206), 110-118. [Google Scholar] [Crossref]

12. Wardani, K., & Yudhistira, M. H. (2020). Konsentrasi spasial, aglomerasi dan produktivitas perusahaan industri manufaktur Indonesia. Jurnal Manajemen Industri dan Logistik, 4(2), 146-156. [Google Scholar] [Crossref]

13. Zagloel, T. Y. M., Siregar, M. T., Hidayatno, A., & Setiawan, A. D. (2024). Development of sustainable logistics performance model using system dynamics in urban logistics service companies in Indonesia. Cogent Business & Management, 11(1), 2286684. [Google Scholar] [Crossref]

14. Zahari, M., Harmadi, A., Mustika, M., Manullang, S. O., & Dewi, D. H. (2023). State-Owned Enterprises (SOES): The Ability And The Feasibility During The Industrial Revolution 4.0. Jurnal Manajemen Industri dan Logistik, 7(2), 320-333. [Google Scholar] [Crossref]