A heauristic method for food box packing in container

Abstract

The increasing of consumer demand in foods resulted in their delivery problems, especially the packing, moving and shipping of food boxes into a limited rectangular container from the food manufacturing or postal business. Therefore, this research purposed to manage the problem for three-dimensional food boxes packing, to reduce the spaces, costs and time in the shipments using the heuristic algorithms base on genetic algorithm (GA) with Axis Order Test: GA-AOT and Corner Point Placing: GA-CPP. The computational performance of both models is then compared. The results from GA-CPP provide the reduction of costs in shipments with the use minimum number of containers.