Summary: 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 was explored 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.