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Industrial Wastes to Wastes Disposal Management by Using Box Jenkins-ARIMA Models and Created Applications: Case Study of Four Waste Transport and Disposal Service Providers in Thailand |
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| รหัสดีโอไอ | |
| Creator | 1. Supawut Sriploy 2. Krittiya Lertpocasombut |
| Title | Industrial Wastes to Wastes Disposal Management by Using Box Jenkins-ARIMA Models and Created Applications: Case Study of Four Waste Transport and Disposal Service Providers in Thailand |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2563 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 13 |
| Journal No. | 1 |
| Page no. | 124-139 |
| Keyword | Investment, Minitab, Planning, Root Mean Square Error, Waste management |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | The purpose of this study is to develop forecasting models for four kinds of wastes: AA waste (Absorbents, filtered waste), BB waste (Plastics), CC waste (Discarded organic chemicals) and DD waste (Sludge from treatment process). The output of forecast is performed on an Excel application for planning, implementation and assets control as well as physical facilities and financial investments. The waste forecasting models could be used to support the wastes disposal and transportation business of four service providers. The method selected uses Box-Jenkins method with data periods from January 2008 to December 2017 (120 series data). Using Minitab software to analyze the data and fit parameters for models generated, the best forecasting values 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) or ARMA (3, 3) for Service Provider D. The results of forecasting the wastes for the four service providers had RMSE of 467.61, 518.80, 1,691.16 and 1,102.80, respectively, which is lower than another research paper (11,551.77). Suitable forecasting models, Excel application can generate valuable forecasts for service providers to utilize their budget of cash, assets and facilities better. |
