Integrated ABC-FSN Analysis of Inventory Classification and Demand Forecasting: A Case Study of Welding Industrial Engineering Program Warehouse

Natdhanai Supattananon; Naratip Supattananon; Nopporn Deethum; Satayu Srichinlert; Jirapat Wanponthong; Rattanaphon Saiyakit; Raknoi Akararungruangkul

ผู้แต่ง

Natdhanai Supattananon Faculty of Business Administration, Northeastern University
Naratip Supattananon Faculty of Technical Education, Rajamangala University of Technology Isan Khon Kaen Campus
Nopporn Deethum Faculty of Business Administration, Northeastern University
Satayu Srichinlert Faculty of Technical Education, Rajamangala University of Technology Isan Khon Kaen Campus
Jirapat Wanponthong Faculty of Technical Education, Rajamangala University of Technology Isan Khon Kaen Campus
Rattanaphon Saiyakit Faculty of Technical Education, Rajamangala University of Technology Isan Khon Kaen Campus
Raknoi Akararungruangkul Faculty of Engineering, Khon Kaen University

คำสำคัญ:

ABC Analysis, FSN Analysis, Demand forecasting, Inventory classification

บทคัดย่อ

This study employed a quantitative case-study approach to improve inventory management in the Welding Industrial Engineering Programme warehouse, Faculty of Industrial Education, Rajamangala University of Technology Isan. The study analyzed the complete inventory population of 17 stock-keeping units (SKUs). Purchasing records from 14 academic semesters (2019/1–2025/2) were used for ABC Analysis, while inventory withdrawal records from six semesters (2023/1–2025/2) were used for FSN Analysis. The integrated ABC-FSN classification identified 6 Class A, 4 Fast-moving, 9 Slow-moving, and 4 Non-moving items. The Grinding wheel 4"×6" mm was selected as an illustrative AF-class forecasting case. Moving Average, Single Exponential Smoothing, and Holt-Winters' Multiplicative Exponential Smoothing were evaluated using 14 semester-level demand observations. Holt-Winters achieved the lowest MAPE of 35.06%, compared with 47.53% for Moving Average and 51.41% for Single Exponential Smoothing, indicating comparatively better performance among the evaluated methods. The resulting safety stock and reorder point were 62 and 147 units, respectively. However, the forecasting results are subject to limitations arising from the single-item forecasting scope and the relatively short demand series.

เอกสารอ้างอิง

Anansuwanchai, S. and Khokhajaikiat, P. (2023). Inventory Model for Ordering a Varieties Material from a Single Source of Building Material Shop in Khon Kaen Province: Case Study. Journal of Industrial Technology Ubon Ratchathani Rajabhat University, 13(1), 125-137. https://ph01.tci-thaijo.org/index.php/jitubru/article/view/246647

Arree, W., Chammuangpak, W., Saelim, P. and Sawisit, N. (2020). Application of ABC Classification Analysis Technique for Inventory Management of Food Categories: A Case Study XYZ Department Store. RMUTSB Academic Journal (Humanities and Social Sciences), 5(2), 153–166. https://so05.tci-thaijo.org/index.php/rmutsb-hs/article/view/242389

Chonchiav, V., Sawatdee, T. and Sawatdee, T. (2025). Increasing Warehouse Management Efficiency by Applying ABC Analysis Veekrit Home and Living Co., Ltd. Journal of Humanities and Social Sciences Thonburi University (Graduate Studies), 3(2), 21–35. https://so13.tci-thaijo.org/index.php/gdjournal/article/view/2284

Insom, M. and Kessomboon, N. (2025). Classification of Inventory Drugs Based on the FSN Analysis in a Private Hospital. Thai Journal of Pharmacy Practice, 17(2), 370-382. https://he01.tci-thaijo.org/index.php/TJPP/article/view/268402

Kumar, A. and Shukla, A.C. (2022). Selective inventory control using ABC and FSN analysis in retail sector: A case study. International Journal for Research in Applied Science & Engineering Technology, 10(5), 4810–4818.

Kumar, L., Khedlekar, S. and Khedlekar, U.K. (2024). A comparative assessment of Holt-Winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains. Supply Chain Analytics, 8, 100084. https://doi.org/10.1016/j.sca.2024.100084

Moonphala, K. and Kawtummachai, R. (2014). Study of The Appropriate Forecasting Methods for Consumer Product Demand of a Public Company. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 3(1), 12–21. https://so02.tci-thaijo.org/index.php/apheitvu/article/view/95101

Muenjitnoy, A. and Aunyawong, W. (2025). Inventory Management Using ABC Analysis for Construction Materials Distribution Company. The Journal of Development Administration Research, 15(2), 699–713. https://so01.tci-thaijo.org/index.php/JDAR/article/view/277742

Phuchittrasin, R., Rattanakool, T., Sukkrajang, K., Kaewdee, C., Pansrinual, W., Sudsomboon, W. and Weerapong, P. (2024). Forecasting Engine Oil Change Demand using Holt-Winters for Inventory Planning: A Case Study of a Truck Service Center in Songkhla. Academic Journal of Industrial Technology Innovation, 2(3), 26-40. https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3423

Prampree, C., Somsiri, A. and Polnok, A. (2024). Inventory Improvement of The Community Enterprise of Nogtoom by ABC-FSN Analysis. Academic Journal Uttaradit Rajabhat University, 19(1), 51–60. https://ph01.tci-thaijo.org/index.php/uruj/article/view/252595

Sansug, K., Paepipat, T., Charoenprasit, S. and Preangprom, S. (2024). Study the improvement of the Inventory Management System and Development Order Materials Fit to Needs. Journal of Business and Industrial Development, 4(1), 17–30. https://so15.tci-thaijo.org/index.php/Journalbid/article/view/801

Sarika, T., Kantasa-ard, A. and Indradat, P. (2024). The Comparison of Demand Forecasting Models in Electrical Appliance and Electronic Products Retail Business in Thailand. Journal of Logistics and Supply Chain Operations, 10(2), 158-176. https://doi.org/10.53848/jlsco.v10i2.269977

Sriyom, K., Khamtree, S., Issara, B. and Cheli, A. (2021). Economic Order Quantity Determination: A Case Study of ABC Pharmacy. Journal of Science and Technology, Songkhla Rajabhat University, 2(1), 43-56.

Sumranhun, P., Rungcharoen, S., Damrongwatthanayothin, B., Somtobburana, P., Patsaphat, B. and Nuchpum, T. (2023). The Reducing of The Error in Forecasting Demand for Industrial Products with High Variation by Data Transformation Techniques. Strategic Perspectives on Business and Marketing Management, 10(1), 36–54. https://so05.tci-thaijo.org/index.php/mmr/article/view/261443

Taengphukieo, R. and Issarapong, N. (2019). Analysis of Comparing Forecasting Methods for Production Planning: Case Study of Beef Companies, Nakhon Phanom Province. EAU Heritage Journal Science and Technology, 13(3), 222–232. https://he01.tci-thaijo.org/index.php/EAUHJSci/article/view/231817

The Economist Intelligence Unit. (2021). The Business Costs of Supply-Chain Disruption. GEP. https://www.gep.com/blog/mind/the-business-costs-of-supply-chain-disruption

Trapero, J. R., Holgado de Frutos, E. and Pedregal, D. J. (2024). Demand forecasting under lost sales stock policies. International Journal of Forecasting, 40(3), 1055–1068. https://doi.org/10.1016/j.ijforecast.2023.09.004

Vanitkun, N., Jirasirilerd, G., Napia, C. and Wongwatanyoo, J. (2023). Application of Demand Forecasting Technique for Patient Bed Planning: A Case Study of Medicine Department Sisaket Hospital. Sripatum Chonburi Interdisciplinary Journal (Online), 9(2), 48-61. https://so04.tci-thaijo.org/index.php/ISCJ/article/view/265167