Mr. Heming Bing Profile

Heming Bing

at Shenyang Aerospace Univ

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Proceedings Article | 5 May 2022 Paper

Research on package task price strategy based on dynamic expectation and gray analysis

Heming Bing

Proceedings Volume 12245, 122450X (2022) https://doi.org/10.1117/12.2635994

KEYWORDS: MATLAB, Analytical research, Global Positioning System, Statistical analysis, Roads, Quantitative analysis, Probability theory, Inspection, Failure analysis, Excel

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This paper analyzes the self-service mode of "taking pictures to make money" and studies the most important and core problem in this mode-task pricing. Through qualitative and quantitative analysis, combined with the actual influence of geographical location, we give the scheme to achieve a higher task completion rate at less cost than the original pricing method. First of all, through the statistical analysis of GPS data, it is concluded that each task presents a multi-center aggregation trend. By referring to the form of the uniform distribution density function of two-dimensional random variables, the dynamic expectation function is constructed by imitating the definition of mathematical expectation in probability theory, and the correlation between each expectation and pricing is analyzed to verify the conjecture. Next, inspired by the idea of grey analysis, the calculation method of task expectation and member expectation is extended, and each task position's difficult expectation and quota expectation are calculated. Finally, according to the differential form of logistic model, the pricing strategy is determined by connecting with the microbial growth curve function. Compared with the original scheme, the task cost decreased by about 0.1%, and the completion rate increased by 12.5%.

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