| Summary: | Supporting part inventories in oil and gas company are the things that need attention. When the unexpected condition cause an increasing demand but there�s no enough inventory available in warehouse, problems may occur. Gas cylinder is one of example that categorized as supporting inventory. Gas cylinders are used to place the gas. When volume of the gas diminish, refill needed. Process to refill the cylinder with specific gas is not that simple. It needs a time to ship the gas cylinder to the vendor which is located far from the operation field, and send them back to be stored in warehouses then. To minimize the stock out problem, we have to identify and model the demand, so we can predict it in the future. Prediction is needed to improve inventory planning in order to increase the availability of stock. The study began by identifying patterns of demand that occurred during the last five years, and then implementing statistical distribution approach to modeling the fluctuation, so we can predict demand conditions that will occur in the next period and make an inventory planning to meet future demand.
These results indicate a pattern of declining trend in oxygen and acetylene gas and random patterns on other types of gases. Further statistical distribution approach using exponential distribution, Weibull and Lognormal will provide the estimated value of demand and supply to note that 95% service level can be achieved.
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