Optimization model for replenishment and distribution problems based on grouping strategy
LIU Yan-qiu
CAO Ge
ZHANG Ying
LI Jia
Abstract：Aiming at the fact that the grouping distribution strategy in the replenishment and distribution problems is not fully considered in the existing supply chain, a decision variable for grouping was introduced in combination with such features that a large number of retailers have different demands on a single product.According to the function relationship between the replenishment cycle and delivery times, the average total cost of a minimized three-level supply chain system was taken as the objective, and the optimization model for the replenishment and distribution with the capacity constraints of distribution center was established.According to the characteristics of this optimization model, the improved genetic algorithm was used to solve the model, and the numerical simulation test was carried out.The results show that the proposed optimization model can provide an effective grouping strategy for the distribution center, and the selected optimization algorithm is more stable and rapid, which can provide the beneficial management enlightenment for companies.
Keywords：logisticssupply chaindistribution centerreplenishment and distribution optimization modelreplenishment cycledelivery timegrouping strategygenetic algorithm
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 165-169 )