Research on Demand Forecasting for Cold Chain Logistics of Fresh Agricultural Products in Urban Areas of Qinhuangdao

Gu Jing; Yin Fan; Li Qing

doi:10.26689/ssr.v7i11.12953

Gu Jing School of Management, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China; Department of Economics and Management, Hebei Institute of Environmental Engineering, Qinhuangdao, Hebei 066102, China
Yin Fan School of Business Administration, Hebei Normal University of Science and Technology, Qinhuangdao, Hebei 066000, China
Li Qing Department of Economics and Management, Hebei Institute of Environmental Engineering, Qinhuangdao, Hebei 066102, China

DOI: https://doi.org/10.26689/ssr.v7i11.12953

Keywords: Grey GM(1,1) model, Fresh agricultural products, Cold chain logistics, Demand forecasting

Abstract

Based on the current development status of cold chain logistics for fresh agricultural products in urban areas of Qinhuangdao, this study employs the grey forecasting model to predict the consumption of fresh agricultural products in these areas. The forecasting results demonstrate high accuracy, effectively reducing losses and circulation costs of agricultural products, thereby promoting the healthy development of cold chain logistics for fresh agricultural products in Qinhuangdao and providing decision-making support for relevant departments in the city.

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