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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mishra, P. Xue-Ming Yuan Guangbin Huang Xiao Xia Xu |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Mishra, P.; Guangbin Huang) || Singapore Inst. of Manuf. Technol., Singapore, Singapore (Xue-Ming Yuan; Xiao Xia Xu) |
| Abstract | In the remanufacturing industry, customer demands and product returns always display irregular intermittent patterns. It is very difficult to accurately forecast such customer demands and product returns. This paper conducts a comparative assessment of the forecasts derived by various methods, and evaluates the robustness of forecasting methodology through the demand data from a remanufacturing company. The results show the econometric methods are more accurate than the classic methods in terms of the mean squared error (MSE). |
| Starting Page | 1012 |
| Ending Page | 1016 |
| File Size | 1369725 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479909865 |
| DOI | 10.1109/IEEM.2013.6962563 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-10 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intermittent Demand Smoothing methods Time series analysis Demand forecasting Predictive models Time Series Decomposition Econometrics Mathematical model Forecasting |
| Content Type | Text |
| Resource Type | Article |
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