Profit Sharing Model of Retailer's Leading Under Random Demand
KONG Linghao
QU Yong
FENG Hang
GUAN Qixuan
Abstract：The market environment is uncertain and rapidly changing.Focusing on the situation of market random demand,this paper puts forward a mechanism of profit-sharing based on Stackelberg game for the problem of JIT purchasing in the supply chain.In the operation of the mechanism,the retailer puts forward the price discount as the main party,suppliers respond who se-lect optimal co-replenishment period as the slave party.A profit sharing model is established to maximize the profit of the supply chain system,and the model is simulated by particle swarm optimization algorithm and genetic algorithm.The simulation results show that:under the profit-sharing mechanism,the price discount and co-replenishment period strategies can increase the profit of the entire supply chain.In terms of optimal solution,solving rate and stability,the particle swarm algorithm is superior than genetic algorithm.
Keywords：random demandJIT purchasingprice discountco-replenishment periodStackelberg gameparticle swarm algorithm
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 95-100 )