| The production cost of steel enterprise mainly consists of raw material cost, production cost and logistics cost. Nowadays, due to the lack of supplement and the increasing raw material cost and production cost, reducing logistics cost by optimizing logistics procedures has become a focus. Another reason for focusing on optimizing logistics procedures lies in the fact that raw material yard occupies most of the circulating funds. The scheduling of the transmission equipments not only penetrates the whole process of the logistics of raw materials, but also impacts directly the management and operation of the raw materials yard.Due to the fact that logistics transmission equipment scheduling of raw material yard has such features as bulk materials transportation, downstream process with strong time constraints, and multi-stage cross-network transportation mode, it is always difficult to realize reasonable distribution and optimization by manual work, which sometimes may even affect normal steel production. As a result, it is quite necessary to consider the problem of dispatching logistics equipment for steel enterprise. This paper mainly deals with dispatching of transfer equipment in raw material yard, including dispatching of reclaimers and belt conveyors. The paper includes three parts of work, as follows:(1)Establish a reclaimer scheduling model and design optimization algorithmThis question is a reclaimer scheduling problem about how to determine the material pile taken, the sequence of taking material, the routing and time span of taking operation, considering the characteristics of ore material yard and the plan of taking materials. The time windows and the weight of materials should also be taken into account. To minimize the costs of taking material, the reclaimers’traveling expenses and the cost incurred by the open pile, this paper establishes a multiple objective mixed-integer linear programming model according to the requirement of production process and management. This problem is first solved by using the standard PSO algorithm. Then two improvement strategies are proposed according to the characteristics of reclaimer scheduling problem. Finally, three different sizes experiments are designed, significance analysis are conducted. Experimental results show that the improved PSO algorithm outperforms the standard version.(2)Establish a belt conveyor scheduling model and design optimization algorithmThis question is a belt conveyor scheduling problem about how to decide the routing and haulage time. Under a plan period, various kinds of materials will be transported to their destination in random order. In the planning period, the materials should be operated continuously. The weight of each kind of material, the transport capacity of the belt conveyor and the length of each belt conveyor are known. To minimize the haulage time and the time consuming brought by changing the orientation of belt conveyor on transport routes, this paper establishes a multiple objective0-1integer linear programming model considering the requirements of production process and management. This problem is solved first by using the binary PSO algorithm. Then two improvement strategies are proposed according to the characteristics of belt conveyor scheduling problem to solve the problem again. Finally, two different sizes experiments are designed, also the significance analysis are conducted. Experimental results show that improved binary PSO algorithm is much better than the simulation of artificial and the solution generated by improved binary PSO algorithm with respect to solution quality.(3)Design and develop the raw material logistics management and optimization systemBased on research results and the investigation of raw material yard in domestic iron and steel enterprises, a raw material logistics management and optimization system is developed. The system consists of six modules:raw material input configuration, inventory and equipment management, output of raw materials yard, quality control, blended ores deposition and materials planning. With this system, the distribution of raw materials berths, raw material input configuration, raw materials inventory, blending, reclaimer scheduling and belt conveyor scheduling process are optimized. |