| Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|
|
|---|---|---|
| Article Number | 02026 | |
| Number of page(s) | 6 | |
| Section | New Energy Economy and Energy Blockchain Application | |
| DOI | https://doi.org/10.1051/e3sconf/202129202026 | |
| Published online | 09 September 2021 | |
Research on Commodity Expectation Based on ABC Classification and Association Rules
1 Hu Zhou Vocational & Technical College, 299 Xuefu Road, Huzhou City, China
2 North China Electric Power University, No.619, Yonghua North Street, Baoding City, China
* Corresponding author: paperbo@sina.com
For some companies, sales means arranging goods and selling them on the shelves. This kind of arrangement of goods regardless of priority brings a lot of internal consumption to the enterprise. With the rapid development of the Internet and industry, many large companies have gradually established and improved their production and sales processes. The traditional ABC classification method can no longer meet this demand. The new method that can compensate for the traditional ABC classification method is particularly important. This article uses association rules to use the ABC classification method to study the expected budget of commodities, uses the Apriori and FP-Growth algorithms in the association rules to collect frequent itemsets of the acquired data, calculates the corresponding association rules, and then classifies the commodities with ABC.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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