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At present, the chain fast food industry has a rapid and diverse, constantly pursuing excellence, and self-evaluation is necessary and important. As the economic structure and life change, the increase in the vegetarian population has boiled food and consumption demand, which has developed rapidly in the development of fast food and drink industry in recent years. In addition, the people have greatly grown on the convenience of diet. Trend, each store is in a geographic location, population structure, convenient transportation, weather changes, and the performance will change due to risk conditions.
This study adopts narrative statistics, variability analysis, regression analysis, bias F, explore and predict the performance of X-chain stage, with the number of orders in 2016 to 2019, three different branches of ABC, rainfall Quantity, population, factory and company line number, temperature analysis performance and number of orders. Gradually regression analysis shows the number of holidays, the number of orders, the number of rainfall, the number of housing increases, the results will increase by 75666 yuan, the number of orders will increase by 70; when the rain is increased by 1 mm, the performance will increase by 190 yuan. The results found that the results were affected by the number of holidays and rainfall. However, rainfall did not affect the number of orders. It is speculated that the number of external orders in the rainy day is more than the number of outer orders, and each delivery order has a minimum amount limit, so the total number of rain days Although there is no significant influence, the performance has a significant increase.
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