Analysis of Inventory Control Using the EOQ (Economical Order Quantity), LFL (Lot For Lot), and POQ (Period Order Quantity) Methods for Cost Optimization (A Study on Warehouse Goods at PT Eco Baby Indonesia)

Authors

  • Bio Akbar Aji Jasunda Universitas Mercu Buana Author
  • Ikhyandini Garindia Atristyanti Universitas Mercu Buana Author

DOI:

https://doi.org/10.66755/belacoss.v2i2.182

Keywords:

Inventory Control, EOQ, POQ, LFL, Inventory Costs, PT Eco Baby Indonesia

Abstract

This study analyzes inventory control at PT Eco Baby Indonesia with the main objective of minimizing total inventory costs. The research focuses on two questions: what is the current inventory cost and which method is most effective among Economic Order Quantity (EOQ), Period Order Quantity (POQ), and Lot for Lot (LFL). A quantitative approach was used through the calculation and comparison of the Total Inventory Cost (TIC) of the three methods based on actual data for 2024, which included ordering costs, storage costs, and lead time variations. The results showed that the LFL method provided the lowest TIC compared to EOQ and POQ. This method adjusts the order quantity to the actual needs of each period so that it does not incur excessive storage costs. Although LFL increases the frequency of orders and has an impact on increased ordering costs, the overall impact still results in lower total costs. This advantage is very relevant to PT Eco Baby Indonesia as a distributor of perishable baby food products, because minimal inventory can reduce the risk of expiration and loss. In conclusion, the LFL method is considered the most optimal in reducing inventory costs at PT Eco Baby Indonesia. These findings emphasize the importance of adaptive inventory control strategies in the distribution business. Further research is recommended to examine the application of digital inventory management technology and lean inventory approaches to further improve efficiency.

Downloads

Download data is not yet available.

Author Biography

  • Ikhyandini Garindia Atristyanti, Universitas Mercu Buana

    Expert Assistant at Mercu Buana University

References

Alnahhal , M., Aylak, B. L., Faizi Hazza, M. H., & Sakhrieh, A. (2024). Economic Order Quantity: A State-of-the-Art in the Era of Uncertain Supply Chains. Sustainability. https://doi.org/10.3390/su16145965

Alzaman, C., Rehman, M., & Khan, S. (2022). Classification of inventory functions in modern supply chains. International Journal of Production Economics.

Amelia, M. A. (2025). Analysis of Inventory Management Using the Economic Order Quantity (EOQ) Method at Bunga Mart. Jurmie. https://doi.org/10.71282/jurmie.v2i5.319

Anner, M. (2022). Power Relations in Global Supply Chains and the Unequal Distribution of Costs During Crises: Abandoning Garment Suppliers and Workers During the COVID‐19 Pandemic. International Labour Review. https://doi.org/10.1111/ilr.12337

Creswell, J. W., & Creswell, J. D. (2021). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Datsenko, V., Ivanova, O., & Petrova, L. (2024). Inventory control and lot-sizing methods for perishable products: A sustainability perspective. Journal of Operations and Supply Chain Management.

Didi Gunawan, I. N., & Setiawan, P. Y. (2022). Inventory Management With EOQ Method at "Nitra Jaya" Fashion-Making Company in Badung. European Journal of Business Management and Research. https://doi.org/10.24018/ejbmr.2022.7.3.1444

Din, A. U., Han, H., Ariza‐Montes, A., Vega-Muñoz, A., Raposo, A., & Mohapatra, S. (2022). The Impact of COVID-19 on the Food Supply Chain and the Role of E-Commerce for Food Purchasing. Sustainability. https://doi.org/10.3390/su14053074

Ekakitie, S. E., Kifordu, A. A., & Nwaebuni, C. (2022). Optimizing profit maximization through effective inventory control practice of manufacturing firms in Nigeria. Journal of Global Social Sciences, 3(11), 89–114.

Etikan, I., & Bala, K. (2023). Sampling and sampling methods in quantitative research. International Journal of Research and Methodology.

Farhan, T., & Purnomo, A. (2025). Analysis of Soybean Raw Material Inventory Control for Production Sustainability at a Tofu Factory in Padang Cermin District, Pesawaran Regency. Jbhi. https://doi.org/10.47134/jbhi.v2i3.590

Farid, M., Qisthi Ariyadi, M. C., Khumaira, S. Z., Reynaldo, A. B., & Junayat, F. S. (2024). Analysis of the Application of the Economic Order Quantity (EOQ) Method in Product Inventory Control. Jurnal Ekobistek. https://doi.org/10.35134/ekobistek.v13i4.859

Feng, Q. A., Li, L., & Shanthikumar, J. G. (2024). The Effect of Supply Uncertainty on Dynamic Procurement and Pricing Strategies Under Lost Sales. Production and Operations Management, 33(1), 108–127. https://doi.org/10.1177/10591478231224916/SUPPL_FILE/SJ-PDF-1-PAO10.1177_10591478231224916.PDF

Ghiffari, M. A. (2024). Analysis of Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method: Study of Simping MSMEs, Purwakarta Regency, Indonesia. Arkus. https://doi.org/10.37275/arkus.v10i1.524

Gupta, H., Soni, U., & Kumar, G. (2021). Green inventory management: A review and research directions. Resources. Conservation and Recycling.

Hartono, T., & Widodo, A. (2024). IoT-based predictive maintenance and its impact on MRO inventory management. International Journal of Operations and Logistics.

Heizer J, Render B, & Munson. (2023). Operations Management: Sustainability and Supply Chain Management (13th ed.). Pearson.

Hidayat, R., & Lestari, D. (2023). Optimizing inventory costs through integrated supply chain management. Journal of Administration and Business.

Izzati, D. (2024). Analysis of the Application of Eoq and Poq Methods in the Raw Material Inventory Control System at Griya Batik Mas Pekalongan City. Applied Accounting and Management Review (Aamar). https://doi.org/10.32497/aamar.v3i2.6068

Jacobs, F. R., & Chase, R. B. (2020). Operations and supply chain management (16th ed.). McGraw- Hill Education.

Kamble, S. S., & Gunasekaran, A. (2020). Sustainable inventory management: A review and future research directions. Journal of Cleaner Production.

Khan, M., & Yu, Z. (2023). Resilient operations management: A review of supply chain disruptions and adaptive strategies. Journal of Operations and Supply Chain Management.

Kurniawan, Y., & Lestari, A. (2021a). Inventory control objectives and strategies in trading companies. Journal of Economics and Business.

Kurniawan, Y., & Lestari, A. (2021b). Inventory control objectives and strategies in trading companies. Journal of Economics and Business.

Li, Y., Chen, H., & Xu, L. (2022). Machine learning applications in perishable food supply chain management: A systematic review. Computers & Industrial Engineering.

Li, Y., & Zhang, X. (2024). Sustainable approaches in inventory management: Integrating green supply chain practices. Journal of Business Logistics.

M. Marpaung, R. J., Marzolina, & Andreas, P. (2024). The Utilization of the Economic Order Quantity (EOQ) Method to Enhance the Efficiency of Raw Material Inventory at PT. Trimas Madya in Kampar District, Riau Province. International Journal of Religion. https://doi.org/10.61707/ybjn7d43

Maharani, M. P. (2025). Raw Material Inventory Control Using the ABC Analysis, Forecasting, and Economic Order Quantity (EOQ) Methods at PT. XYZ. J Ti Undip Jurnal Teknik Industri. https://doi.org/10.14710/jati.20.2.95-103

Mohamed, A. E. (2024). Inventory Management. In T. Bányai (Ed.), Operations Management. IntechOpen. https://doi.org/10.5772/intechopen.113282

Nugraha, A., & Prasetyo, B. (2021). Inventory cost structure and its impact on supply chain efficiency. Journal of Industrial Management.

Nuraini, Z., Warnaningtyas, H., & Mutmainah, M. (2023). The Importance of Planning and Controlling Raw Material Inventory for Paving Using the Economic Order Quantity (EOQ) Method for Profit Optimization. Journal of Business Management and Accounting. https://doi.org/10.54131/jbma.v10i2.168

Prasetyo, A., & Putra, D. (2021). Application of the Economic Order Quantity method in inventory control. Journal of Industrial Systems and Management.

Pratama, R., & Hidayah, N. (2021). Inventory management practices in the era of industry 4.0. Journal of Industrial Management.

Putra, A., & Nugroho, B. (2022). Analysis of raw material inventory control using the ROP method in the manufacturing industry. Indonesian Journal of Industrial Engineering.

Putri, M., & Santoso, D. (2025). Demand forecasting and finished goods inventory optimization using big data analytics. Journal of Supply Chain and Operations.

Rahmayanti, E., & Wibowo, H. (2022). Analysis of factors affecting the amount of raw material inventory. Journal of Management Research.

Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill-building approach (8th ed.). Wiley.

Sekarwangi, M., & Miharja, R. (2024). Analysis of Inventory Control Using Forecasting and EOQ Methods. E-Bisnis Scientific Journal of Economics and Business. https://doi.org/10.51903/e- bisnis.v17i2.1995

Sesilia, K., Jufriyanto, Moh., & Rizqi, A. W. (2024). Comparative Analysis of EOQ Method, POQ Method, and Min-Max Method in Controlling Inventory of Subsidized NPK Phonska Fertilizer Raw Materials at PT Petrokimia Gresik. Industrial Engineering Journal Journal of Research and Scientific Works in the Field of Industrial Engineering. https://doi.org/10.24014/jti.v10i2.32610

Shamsuzzoha, A., & Tapani Jaakkola, T. E. (2024). The Scope of Demand-Driven Material Requirements Planning in Operative Purchasing of a Multi-National Company: A Case Study. International Journal of Engineering Business Management. https://doi.org/10.1177/18479790241293890

Siregar, A., & Ananda, P. (2022). Digital supply chain-based raw material inventory management strategies. Journal of Business Administration.

Slack, N., Brandon-Jones, A., & Burgess, N. (2022). Operations management (10th ed.). Pearson Education.

Sobari, R. H. (2025). Controlling Drill Cotton Fabric Inventory Using the Eoq (Economic Order Quantity) Method at Cv Sinar Rahayu. Journal of Information System Applied Management Accounting and Research. https://doi.org/10.52362/jisamar.v9i2.1868

Stevenson, W. J. (2021). Operations Management (14th ed.). McGraw-Hill Education.

Sufiyan, M. D., Lalitha, K., & Scholar, P. G. (2024). A STUDY ON INVENTORY MANAGEMENT. International Journal of Management Research & Review, 14, 2249–7196.

Tadayonrad, Y., & Ndiaye, A. B. (2023). A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality. Supply Chain Analytics, 3, 100026. https://doi.org/10.1016/J.SCA.2023.100026

Tamaputra, R. S., & Farmaciawaty, D. A. (2025). OPTIMIZING INVENTORY MANAGEMENT USING THE EOQ MODEL: CASE STUDY IN ONE OF THE BANKS IN INDONESIA. Journal of Research in Social Science and Humanities, 5(1).

Tan, K., Lee, C., & Wong, H. (2024). Adaptive lot-sizing strategies in dynamic demand environments: A comparative analysis. International Journal of Production Research.

Yuliani, S., Fadli, R., & Kurnia, H. (2023). Reducing work-in-process inventory through lean manufacturing implementation. Journal of Industrial Engineering.

Yuningsih, Y. (2024). Analysis of Prediction Results for Material Stock Procurement Using the Eoq Method at O'ayam Geprek Store. Nusantara of Engineering (Noe). https://doi.org/10.29407/noe.v7i2.22037

Zouari, D., Viale, L., Ruel, S., & Stek, K. (2024). The Nexus of Stewardship and Sustainability in Supply Chains: Revealing the Impact of Purchasing Social Responsibility on Innovativeness and Operation Performance. European Business Review. https://doi.org/10.1108/ebr-01-2024-0014

Downloads

Published

2026-03-25

How to Cite

Jasunda, B. A. A., & Atristyanti, I. G. (2026). Analysis of Inventory Control Using the EOQ (Economical Order Quantity), LFL (Lot For Lot), and POQ (Period Order Quantity) Methods for Cost Optimization (A Study on Warehouse Goods at PT Eco Baby Indonesia). Business, Economics, Law, Communication, and Social Sciences, 2(2), 215-229. https://doi.org/10.66755/belacoss.v2i2.182

Similar Articles

41-50 of 55

You may also start an advanced similarity search for this article.