TY - JOUR
T1 - Inventory optimization of fresh agricultural products supply chain based on agricultural superdocking
AU - Shen, Lixin
AU - Li, Fucheng
AU - Li, Congcong
AU - Wang, Yumin
AU - Qian, Xueqi
AU - Feng, Tao
AU - Wang, Cong
PY - 2020/1/24
Y1 - 2020/1/24
N2 - The "agricultural superdocking" mode which has been strong supported by the government has become the main way for fresh agricultural products to enter the market in China. Based on the analysis of fresh agricultural products supply chain inventory management under the "agricultural superdocking" mode, this paper constructs an integrated inventory model for fresh agricultural products of "farmers' professional cooperatives + distribution centers + supermarkets." Considering multiple members at each echelon of a supply chain, a model that maximizes the overall profit of the supply chain is proposed. The model assumes that the market demand of fresh agricultural products is affected by freshness and sales prices, and the distribution center is responsible for not only storage, processing, and distribution but also coordinating the production and supply information of farmers' professional cooperatives and the order sales information of supermarkets. An improved genetic algorithm is developed to solve the nonlinear optimization problem. Results of a case study show that the optimal supply and replenishment strategy under the given supply chain distribution process are obtained.
AB - The "agricultural superdocking" mode which has been strong supported by the government has become the main way for fresh agricultural products to enter the market in China. Based on the analysis of fresh agricultural products supply chain inventory management under the "agricultural superdocking" mode, this paper constructs an integrated inventory model for fresh agricultural products of "farmers' professional cooperatives + distribution centers + supermarkets." Considering multiple members at each echelon of a supply chain, a model that maximizes the overall profit of the supply chain is proposed. The model assumes that the market demand of fresh agricultural products is affected by freshness and sales prices, and the distribution center is responsible for not only storage, processing, and distribution but also coordinating the production and supply information of farmers' professional cooperatives and the order sales information of supermarkets. An improved genetic algorithm is developed to solve the nonlinear optimization problem. Results of a case study show that the optimal supply and replenishment strategy under the given supply chain distribution process are obtained.
UR - http://www.scopus.com/inward/record.url?scp=85079037828&partnerID=8YFLogxK
U2 - 10.1155/2020/2724164
DO - 10.1155/2020/2724164
M3 - Article
AN - SCOPUS:85079037828
SN - 0197-6729
VL - 2020
JO - Journal of Advanced Transportation
JF - Journal of Advanced Transportation
M1 - 2724164
ER -