An intelligent logistics system is an importantbranch of intelligent transportation systems. It is a great challengeto develop efficient technologies and methodologies toimprove its performance in meeting customer requirements whilethis is highly related to people’s life quality. Its high efficiencycan reduce food waste, improve food quality and safety, andenhance the competitiveness of food companies. In this paper,we investigate a new integrated planning problem for intelligentfood logistics systems. Two objectives are considered: minimizingtotal production, inventory, and transportation cost and maximizingaverage food quality. For the problem, a bi-objective mixedinteger linear programming model is formulated first. Then,a new method that combines an -constraint-based two-phaseiterative heuristic and a fuzzy logic method is developed to solveit. Computational results on a case study and on 185 randomlygenerated instances with up to 100 retailers and 12 periods showthe effectiveness and efficiency of the proposed method.