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The ABC-XYZ analysis modified for data with outliers Z. N. Zenkova, T. Kabanova

By: Zenkova, Zhanna NContributor(s): Kabanova, Tatiana VMaterial type: ArticleArticleSubject(s): Граббса тест | усеченная выборка | стандартное отклонение | ABC-XYZ анализGenre/Form: статьи в сборниках Online resources: Click here to access online In: Proceedings, GOL'2018 : the 4th IEEE International Conference on Logistics Operations Management, April 10-12, 2018, Le Havre, France P. 63-68Abstract: The 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.
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Библиогр.: 12 назв.

The 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.

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