| 000 | 02595naa a2200313 c 4500 | ||
|---|---|---|---|
| 001 | vtls000651764 | ||
| 003 | RU-ToGU | ||
| 005 | 20230319214431.0 | ||
| 007 | cr | | ||
| 008 | 190403s2018 xx fs 100 0 eng d | ||
| 024 | 7 |
_a10.1109/GOL.2018.8378073 _2doi |
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| 035 | _ato000651764 | ||
| 040 |
_aRU-ToGU _brus _cRU-ToGU |
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| 100 | 1 |
_aZenkova, Zhanna N. _9564129 |
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| 245 | 1 | 4 |
_aThe ABC-XYZ analysis modified for data with outliers _cZ. N. Zenkova, T. Kabanova |
| 504 | _aБиблиогр.: 12 назв. | ||
| 520 | 3 | _aThe ABC-XYZ analysis is widespread in modern business, especially in the inventory control, marketing and logistics. It is used for classification of the assortment depending on the revenue or profit of sales of the enterprise according to the ABC-part of the method and the amount of sales for the XYZ-part. The paper proposes a modification of the ABC-XYZ analytical technique for the case of the presence outliers in the data. The modification of the method allows identification of the outlier by means of the Grubbs’ test. After excluding the outliers, the mean and the standard deviation of the truncated sample are used to re-estimate average sales, recalculate revenue and coefficient of variation, regroup and finally help decrease costs by means of better forecasting and changing strategies of inventory management, e.g. choosing more appropriate replenishment systems for products and avoiding bullwhip effect in a supply chain. The new technique was applied to a simulating data set and demonstrated the results of classification that differ from the classical one. The suggested method must be considered as a preferable technique for classification as it is based on more reliable and accurate data and robust estimation of mean value and standard deviation. | |
| 653 | _aГраббса тест | ||
| 653 | _aусеченная выборка | ||
| 653 | _aстандартное отклонение | ||
| 653 | _aABC-XYZ анализ | ||
| 655 | 4 |
_aстатьи в сборниках _9879352 |
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| 700 | 1 |
_aKabanova, Tatiana V. _999219 |
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| 773 | 0 |
_tProceedings, GOL'2018 : the 4th IEEE International Conference on Logistics Operations Management, April 10-12, 2018, Le Havre, France _d[S. l.], 2018 _gP. 63-68 _z9781538667729 _z9781538667736 |
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| 852 | 4 | _aRU-ToGU | |
| 856 | 4 | _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000651764 | |
| 908 | _aстатья | ||
| 999 | _c449490 | ||