Comparison of forecasting methods for Aggregate Production Planning In Cleanroom Apparel factory
Comparison of forecasting methods for Aggregate Production Planning In Cleanroom Apparel factory
Keywords:
forecasting, aggregate production planning, minimize total costAbstract
Competitive markets have increased productivity and promoted economicgrowth. A case of Clean Room Company has faced problems in aggregate productionplanning and demand forecasting whichcaused delivery delayand decreased customersatisfaction. The objective of this research was to study and compare the forecastingmethods for demand of smock suit in clean room industry and to study the aggregate
production planning for the least amount of total production cost analysis. Demandingdata during past36 months wasused infiveforecasting methods;1)Linear trend method2) Quadratictrend method and 3) Exponential GrowthTrend Model.The best forecastingmethod was the model with the smallest value of Mean Absolute Percent Error (MAPE).We found that Quadratic trend method was the best method due to its lowest MAPE of20.00 which was further applied this value for aggregate production planning (APP) to minimize cost. We found the total cost was 1,080,100 Baht
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