Research on the Operational Model of Fresh Products Faced with Time-Varying Demand and Logistics Service Uncertainty
Fresh products face the dual pressures of time-varying demand caused by freshness change and logistic service uncertainties.Efficient collaboration between the supply chain and logistic services is crucial for devising optimized operational strategies.This paper analyses the impacts of pricing,preservation strategy and lo-gistics uncertainty of fresh-product supplier and retailer on the supply chain based on consumers'time-varying utility function by constructing a Stackelberg game model.The coordination issues in fresh supply chain under centralized and decentralized decision-making are explored.The study reveals that,from an overall supply chain perspective,considering logistic uncertainty leads to a significant decrease in sup-ply chain efficiency.For supplier,in situations of lower logistic uncertainty,profit is greater under the baseline scenario(without logistic uncertainty);it leads to an increase in positive demand and thus to greater supplier profitability when logistics uncertainty exceeds a certain threshold.Regarding retailer,profit is higher in the presence of logistic uncertainty when the product has a shorter sales period,while in situations with a longer sales period,profit is higher under the baseline scenario.As the profit-sharing ratio increases,the efficiency of the fresh product supply chain improves and steadily approaches 100%,indicating that profit-sharing contracts can achieve supply chain coordination.