DETERMINATION OF PRODUCTION FORECASTING METHOD USING NAÏVE, SINGLE MOVING AVERAGE, EXPONENTIAL SMOOTHING IN PRODUCTION PLANNING (Case Study: PT X Sparepart Automotive Manufacturing)

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dc.contributor.authorAnwar, Asep
dc.contributor.authorFerdian, Rendiyatna
dc.contributor.authorRochman, Didit Damur
dc.date.accessioned2021-02-16T08:15:46Z
dc.date.available2021-02-16T08:15:46Z
dc.date.issued2020
dc.description.abstractThe pattern of demand from consumers is one of the bases for planning in a company. Determining the right demand by a company will help in planning the company to meet consumer needs. The method used in determining the prediction of demand is using forecasting methods, because using forecasting methods will help companies to minimize uncertainty about consumer demand patterns. PT X is a company engaged in the production of automotive spare parts, which is currently having difficulty predicting the needs of consumers. This study aims to provide recommendations for the use of forecasting methods that are in accordance with existing data in company X. The methods used in this study are naïve methods, moving averages, and exponential smoothing. The calculation process will use the pom qm software. From the results of this study, it turns out that the method that can be recommended to be implemented in company x is a naïve method with the smallest error value compared to the error results of other forecasting methods.en_US
dc.identifier.issn0038-111X
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12551
dc.language.isoenen_US
dc.publisherSolid State Technology Volume: 63 Issue: 3en_US
dc.subjectForecastingen_US
dc.subjectPlanningen_US
dc.subjectNaïve Methoden_US
dc.subjectSingle Moving Average Methoden_US
dc.subjectExponential Smoothing Methoden_US
dc.titleDETERMINATION OF PRODUCTION FORECASTING METHOD USING NAÏVE, SINGLE MOVING AVERAGE, EXPONENTIAL SMOOTHING IN PRODUCTION PLANNING (Case Study: PT X Sparepart Automotive Manufacturing)en_US
dc.typeArticleen_US
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