Design And Selection Research Of Pallet Sizes For The Power Grid Materials

The safe operation of the power grid is a necessary condition for the smooth production and living, and has a high demand for the timely supply of materials However, the materials of power grid is very special, and most of them can’t use the standard pallet for storage and transport, which can lead to a poor space utilization and operating efficiency and will go against to the timely supply of materials. In order to change the storage status, unify the storage mode, and realize the modern warehouse management, there is necessary to re-design the size of pallet. Therefore, this thesis mainly studies the optimization size of the pallet that can be used for the general power grid materials.This thesis analyses the general materials of the power grid, and finds the problem in the materials management process-the standard pallet has a low utilization rate. Combining the knowledge of the pallet selection, this problem can be described by the analysis of the loading efficiency and cost, and thereby a mathematical model, in which the loading efficiency is a constrain condition and the minimum cost is our goal, is established. While analyzing the loading efficiency, this paper firstly proposes the concept of the actual loading efficiency, and uses a simple layout method which contains the weight limit so as to get the value of the actual loading efficiency.During the initial solution stage of the model, based on the TOPSIS method, this paper carries out a primary selection of the pallet to reduce the search space, and in this process, the pallet is seen as a program, the storage material volume ratio, the average actual loading efficiency and the average disk-carrying efficiency of the pallet are seen as the evaluation of each program. Through evaluating each program, the pallet that is closer to the ideal solution is considered as the result of the primary selection. Then, the genetic algorithm is used to solve the model. The processing method of the constraint condition in this thesis is an integrated approach that includes two solutions:the avoiding impossible answer solution and the penalty function solution. In the latter solution, the constraint is fuzzed by fuzzy theory. While solving the solution by the genetic algorithm, some necessary approaches are utilized for improving the algorithm performance, such as adding new individuals in each generation, an improved roulette wheel selection and non-probability of crossover.At last, in order to prove the reliability and accuracy of the proposed model and the high efficiency of the algorithm, this thesis takes the inventory of one province’s central warehouse as the research object and carries out the experiment simulation. The calculation results show that the proposed algorithm and the optimization model can effectively solve the design and selection problem of pallet sizes for the power grid materials. This method can be applied on the selection aspect of warehouse equipment, and has important reference value to the selection of storage equipment of some other enterprise, in which the materials can’t match very well with the standard pallet; Through further research based on this method, the industrial pallet standards can be established and used in the entire supply chain.