Industrial Wastes to Wastes Disposal Management by UsingBox Jenkins-ARIMA Models and Created Applications:Case Study of Four Waste Transport and Disposal ServiceProviders in Thailand

摘要

The purpose of this study is to develop forecasting models for four kinds of wastes: AA waste(Absorbents, fltered waste), BB waste (Plastics), CC waste (Discarded organic chemicals) andDD waste (Sludge from treatment process). The output of forecast is performed on an Excelapplication for planning, implementation and assets control as well as physical facilities andfnancial investments. The waste forecasting models could be used to support the wastes disposaland transportation business of four service providers. The method selected uses Box-Jenkinsmethod with data periods from January 2008 to December 2017 (120 series data). Using Minitabsoftware to analyze the data and ft parameters for models generated, the best forecastingvalues were by ARIMA (2, 1, 0) or ARI (2,1) for Service Provider A, ARIMA (0, 0, 1) or MA(1) for Service Provider B, ARIMA (3, 2, 2) for Service Provider C and ARIMA (3, 0, 3) orARMA (3, 3) for Service Provider D. The results of forecasting the wastes for the four serviceproviders had RMSE of 467.61, 518.80, 1,691.16 and 1,102.80, respectively, which is lower thananother research paper (11,551.77). Suitable forecasting models, Excel application can generatevaluable forecasts for service providers to utilize their budget of cash, assets and facilities better.