| Autor: |
Lin, Liuyan, Jiang, Wei, Chen, Biao, Yu, Jing, Zheng, Chenhong |
| Předmět: |
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| Zdroj: |
Procedia Computer Science; 2024, Vol. 247, p617-623, 7p |
| Abstrakt: |
Production cost forecasting is the key link to control the production cost of products, is an important step for enterprises to scientifically plan the future cost level and cost objectives, and is also the basis for enterprises to make scientific decisions. Taking women's clothing as an example, this paper introduces a simple and practical product production cost prediction method based on multiple linear regression mathematical model, describes the establishment process and prediction steps of multiple linear regression mathematical model in detail, and makes a prediction empirical research. It is found that the design difficulty and production volume are the key factors affecting the production cost of women's clothing, while the unit cost of raw materials and the man-hour required for production are not significant. The sample equation was fitted by the least square method, and the mathematical model was established, and the empirical analysis was carried out by SPSS22.0 software. The results show that the model has a high degree of fitting and forecasting ability, and provides a scientific and practical cost forecasting tool for enterprises. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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