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Article | Industrial and Domestic Waste Management | Volume 6 - Issue 2 - 2026 | 372−388 | https://doi.org/10.53623/idwm.v6i2.1318
© 2026 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

An Integrated Decision Support Framework for Demand Forecasting and Gypsum Inventory Optimization in Cement Manufacturing

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Author(s): Diana Khairani Sofyan 1 ORCID https://orcid.org/0000-0001-5267-2579 , A. Amri 1 , Syukriah 1 , Bakhtiar 1 , Yohana Dian Putri 1 , Cut Andyna 2
Author(s) information:
1 Department of Industrial Engineering, Faculty of Engineering, Universitas Malikussaleh, Jl. Medan - B. Aceh, Bukit Indah, Lhokseumawe, Aceh, Indonesia
2 Communication Studies Program, Faculty of Social and Political Sciences, Universitas Malikussaleh, Jl. Medan - B. Aceh, Bukit Indah, Lhokseumawe, Aceh, Indonesia

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Industrial and Domestic Waste Management

Volume 6 - Issue 2 - 2026

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This study developed an integrated decision support framework that linked gypsum demand forecasting with the Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) inventory control methods. Historical gypsum consumption data from PT Lafarge Cement Indonesia for 2023–2024, together with ordering costs, holding costs, and replenishment lead times, were analyzed to develop an inventory planning strategy for 2025. Three forecasting methods quadratic, exponential, and cyclical forecasting were evaluated using Mean Absolute Percentage Error (MAPE), and the model with the lowest MAPE was selected to estimate future gypsum demand. The results showed that the selected cyclical forecasting method predicted an annual gypsum demand of 73,167.64 tons for 2025. Under the existing inventory policy, the total inventory cost was Rp6,475,551.63. The EOQ model yielded an optimal order quantity of 6,233 tons and a total inventory cost of Rp5,297,287.41, representing savings of Rp1,178,264.22, or 18.20%. The POQ model resulted in a replenishment interval of approximately 1.02 months, with a safety stock of 15,712.24 tons and a reorder point of 22,475.05 tons. This approach resulted in a total inventory cost of Rp5,239,614.91. Compared with the existing policy, the POQ model provided estimated savings of Rp1,235,936.72, equivalent to a 19.09% reduction in inventory costs. These findings demonstrated that integrating demand forecasting with EOQ and POQ provided a practical approach to improving gypsum inventory planning, reducing inventory costs, and maintaining material availability in cement manufacturing.

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SUBMITTED: 28 July 2026
ACCEPTED: 10 September 2026
PUBLISHED: 12 September 2026
SUBMITTED to ACCEPTED: 44 days
DOI: https://doi.org/10.53623/idwm.v6i2.1318

Cite this article
Sofyan, D. K., Amri, A. ., Syukriah, Bakhtiar, Putri, Y. D. ., & Andyna, C. . (2026). An Integrated Decision Support Framework for Demand Forecasting and Gypsum Inventory Optimization in Cement Manufacturing: -. Industrial and Domestic Waste Management, 6(2), 372−388. https://doi.org/10.53623/idwm.v6i2.1318
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