Research on automatic vegetable pricing and replenishment decision-making based on improved ant colony algorithm-Reference-Cited by-同舟云学术

Research on automatic vegetable pricing and replenishment decision-making based on improved ant colony algorithm

Published:2023-11-15 Issue: Volume:70 Page:484-490
ISSN:2791-0210
Container-title:Highlights in Science, Engineering and Technology
language:
Short-container-title:HSET

Author:

Wang Zihao,Mu Kehang,Ma Yuhan

Abstract

In daily life, vegetable products have a short shelf life and a high perishability rate. As time goes by, their quality will deteriorate and cause waste. Therefore, in order to maximize benefits and reduce waste, the ant colony algorithm and ARIMA are combined The prediction model was combined and optimized, and the Ant Colony-ARIMA prediction model was established, and the relevant data of the sales flow details and wholesale prices of each commodity in a supermarket from July 1, 2020 to June 30, 2023 were used for training, optimization and prediction. Analyze and compare with various data from June 24, 2023 to June 30, 2023. The results show that the average relative errors of sales and pricing of the Ant Colony-ARIMA model are lower than the actual ones, indicating that the established Ant Colony-ARIMA model can accurately predict sales and pricing, and provide a high-quality solution for supermarkets and merchants. Accurate prediction method.

Publisher

Darcy & Roy Press Co. Ltd.

Reference10 articles.

1. Cheng Zhongxin. Design and implementation of supermarket automatic replenishment system [D]. Shandong University, 2016.

2. Zheng Couple. Research on dynamic bulk inventory replenishment of community group buying retailers [D]. Central South University of Economics and Law, 2022.

3. LI Chunxiao. Research on the design of automatic replenishment system of unmanned supermarket [D]. Hebei University of Science and Technology, 2019.

4. Maurisha. Research on pricing strategy and production and marketing mode of vegetable wholesale market from the perspective of supply chain [D]. Central South University of Forestry and Technology, 2023.

5. Fang Li. Research on the price setting method of vegetable raw materials in college logistics [J]. University Logistics Research,2021(10): 22-24.