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| DGM Prediction Model of Quality Cost Based on Practical Weakening Buffer Operator |
| Received:May 11, 2018 Revised:July 25, 2018 |
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| DOI：10.7643/ issn.1672-9242.2018.07.001 |
| KeyWord:quality cost discrete grey model weakening buffer operator cost forecasting exponential model |
| Author | Institution |
| WANG Jing |
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| DONG Wen-jie |
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| FANG Zhi-geng |
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
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| Abstract: |
| Objective To predict the quality cost with grey discrete model based on weakening buffer operator. Methods The integral function was used to remove the uncertainty of interval data, and transform it into an unbiased real number. By analyzing the correlation between quality cost and related factors and introducing the second-order weakening buffer operator to deal with the interference cost series, the discrete grey model was finally established to estimate the quality cost. Results Compared with cases and commonly used exponential function, the result showed that the simulation precision of DGM for quality cost was high. The simulation error might be reduced from 1.689% of exponential model to 0.118%. Conclusion This model can be used to effectively change the prediction accuracy. It has certain practicability and rationality. |
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