The decisions of small and medium-sized enterprises on production and inventory management have a direct influence on operating costs and their survival. It is of great significance to reduce inventory reasonably and reach reasonable service levels to ensure that enterprises meet the requirements of the business. Therefore, we conduct the data analysis for the historical sales demand and price of ten types of petty commodities in the past three years. A time series analysis is performed by using the weekly prediction model according to the periodic demand to make a reasonable production plan prediction. The regression relationship between inventory, actual demand, and the predicted price is fit. The result shows that the capital occupied by inventory is reduced and the production plan is reasonably predicted. The enterprise's production plan can be scientifically planned and adjusted to make correct decisions through data analysis and modeling based on the result of this study.

Xuemei Yu. Study on Production Planning Demand Model Based on SPSS Statistical Analysis. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 5: 95-100. https://doi.org/10.25236/AJCIS.2023.060513.

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