Author(s)

Jingwen Jiang ¹

Affiliation(s)

¹ School of Business, Xi'an International Studies University, Xi'an, 710128, China

Corresponding Author

Jingwen Jiang

ABSTRACT

With the continuous upgrading of consumers' consumption level and consumption demand, the market scale of fresh food superstores is growing year by year. Facing the competitive market environment, merchants need to develop reasonable replenishment and pricing strategies by matching the supply and demand of commodities, so as to promote the maximization of superstore revenue. In this paper, based on the historical sales data of vegetables, polynomial regression is chosen to predict the sales demand based on the analysis results of sales data, and further predict the daily sales volume of six vegetable categories in the coming one-week period. Then, a single-objective nonlinear optimization model related to the total sales volume of each vegetable category and the cost-plus pricing is established, and the optimal solution and optimal value are found out by using genetic algorithm according to the constraints. Finally, the total amount of replenishment and the optimal pricing strategy for each vegetable category are derived.

KEYWORDS

Vegetable replenishment and pricing decisions, Single-objective nonlinear programming, Genetic algorithm

CITE THIS PAPER

Jingwen Jiang, Research on vegetable sales decision-making based on single-objective nonlinear optimization and genetic algorithm. Information Systems and Economics (2024) Vol. 5: 116-123. DOI: http://dx.doi.org/10.23977/infse.2024.050216.

REFERENCES

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[2] Qiao Xue. Joint replenishment pricing strategy for fresh products considering sales loss[D]. Southeast University, 2023.
[3] Fan Jing. Research on Inventory and Pricing Strategies of Omni-Channel Supply Chain for Fresh Agricultural Products [D]. South China University of Technology, 2023.
[4] Liao Wenjing. Research on grading pricing and logistics network optimization of agricultural products under the origin-collecting and distribution mode of fresh food e-commerce [D]. Xi'an University of Technology, 2023.
[5] Ning Xiaoli, Wang Fabo. Optimization of distribution path of Nanyang SF Express based on genetic algorithm[J]. Logistics Technology, 2023, 42(10):61-63.
[6] Zhang Yuanyuan, Ye Peng. Single-objective yield optimization model and application for multi-year planning of oilfield development [J]. Broken Block Oil and Gas Fields, 2009, 16(06):59-61+75.
[7] Liu Xiangkun. Research on optimization of logistics and distribution path based on improved genetic algorithm[D]. Changchun University of Technology, 2023.

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