Research Article
Chlorine Gas Inventory Model with Exponential Demand and Holt-Winters Forecasting
@INPROCEEDINGS{10.4108/eai.3-11-2023.2347899, author={Oki Dwipurwani and Fitri Maya Puspita and Siti Suzlin Supadi and Evi Yuliza}, title={Chlorine Gas Inventory Model with Exponential Demand and Holt-Winters Forecasting}, proceedings={Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia}, publisher={EAI}, proceedings_a={SICBAS}, year={2024}, month={8}, keywords={water supply company (pdam) holt-winters forecasting exponential probabilistic inventory model}, doi={10.4108/eai.3-11-2023.2347899} }- Oki Dwipurwani
Fitri Maya Puspita
Siti Suzlin Supadi
Evi Yuliza
Year: 2024
Chlorine Gas Inventory Model with Exponential Demand and Holt-Winters Forecasting
SICBAS
EAI
DOI: 10.4108/eai.3-11-2023.2347899
Abstract
Inventory management is very important to Water Supply Company (PDAM) to ensure the consistent availability and reliability of chlorine gas. Chlorine gas is important in the disinfecting process of clean water production. In addition, the demand for chlorine gas since 2020 has experienced high volatility. Therefore, this study aimed to develop a probabilistic Chlorine Gas inventory model, which used the (Q,r) and (R,T) model, with demand following exponential distribution. Demand data used in model were based on forecasts for multiple future periods. The results showed that the most accurate demand forecasting model for Chlorine Gas was achieved through the application of the Multiplicative Holt-Winters method. The optimal inventory management policy, as established by the (Q,r) model, prescribed a reorder point (r) of 1,933.76 kg, order lot size (Q) of 1,049.36 kg, and a total cost (Tc(Q,r)) amounting to IDR 2.706.523.392,76. This model also achieved a service level of 99.98%.