| Nowadays, the development of military warehouse brings much convenience to military logistics, in the meanwhile, unprecedented problem occurs, i.e., the improvement of conveying efficiency of military supplies. Over past decades, great efforts has been made on conducting intelligent research on the military warehouse, thus achieving certain results and applying much of them into practice. However, new problems occurs in recent years, that is, paying much attention to the storage of supplies in the military warehouse while neglecting the improvement of conveying efficiency of the supplies into/out of the warehouse.The thesis put forward new ideas on the basis of shortage about the intelligent situation of military warehouse. Binary coding is conducted to goods allocation so as to arrange reasonable code for the warehouse, in this way, the computer figures out the code easier. Besides, conducting the reasonable coding for military supplies of the warehouse seems to make an"identity card"for the supplies.With reference to the traditional supplies-carrying and supplies-transporting practice and the characteristics of military warehouse, i.e., great bulk, enormous supplies and long carrying distance, the thesis put forward the route-planning mode on the basis of Ant Colony Algorithm (ACO). Through inquiring the system, we identify the location of the goods allocation for specific supplies and optimize the routine for carrying the supplies by ACO so as to figure out the reasonable routine. Therefore, the carrying routine for supplies into/out of the warehouse is optimized reasonably, which reducing the time and improving the efficiency. In addition, ACO is applied to plan carrying routine for supplies to reduce the transportation time and improve the transportation efficiency. |
