Abstract：Aiming at improving the overall efficiency of the multi-node，multi-level，and multi-functional supply chain management，a secondary distribution network composed of a single supplier，multiple distribution centers，and multiple retail stores for a chain supermarket wasexplored to establish the multi-objective location-inventory-routing problem (LIRP) integrated planning model with the objectives of the total system cost and supply time. The linear weighting method was used to transform the model into the single-objective programming one. A two-stage heuristic algorithm combining genetic algorithm and mileage saving method was proposed to solve the model. In the first phase，the location-inventory problem was solved by the genetic algorithm，and in the second phase，vehicle routing problem was solved by the mileage saving method. A chain supermarket example was used for the LIRP integration optimization of the distribution network with different decision schemes and total cost weights. Compared the results from a reference，the optimized system scheme reduced the total mileage by 3 606.9 km，the total system cost by 6 526.2 yuan, and the cost of back orders by 124.6 yuan，being 19.7 yuan，which verifies the model and algorithm.
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