Research On Disassembly Line Balancing Based On Artificial Bee Colony Optimization Algorithm

With the rapid development of the economy,people are increasingly demanding electronic appliances.Different electronic and electrical products can be found everywhere in life.The following is the fast replacement of waste electronic and electrical products increase faster and faster.The pollution caused by the waste electronic appliances cannot be ignored.It is very important to recycle waste products.Dismantling waste products is a reasonable way to recycle the waste products.In this paper,the balance of the disassembly line of different product types and disassembly line types is studied based on uncertain conditions for abandoned electronic and electrical products.Given different disassembly line balance problems,an Optimized Artificial Bee Colony optimization algorithm(OABC)is designed to get the optimal solution,the main research of this paper is as follows:(1)The balance optimization of the multi-objective single product linear disassembly line is studied.A multi-objective mathematical model based on human-computer cooperation is established,which is the maximization of profit,the minimum of energy consumption and disassembly difficulty.An improved Artificial Bee Colony algorithm is proposed to solve the problem.The model and algorithm are tested by a case study.The experiment shows that the method has a good effect on solving the balance problem of multi-objective single product linear disassembly line.(2)The balance optimization of multi-objective and multi-product linear disassembly lines is studied.According to the actual situation of the disassembly line,considering the uncertainty of disassembly time in the process of disassembly,a mathematical model based on Human-Robot Cooperation is established,which aims at maximizing profit,minimizing energy consumption and and disassembly difficulty.At the same time,an improved multi-objective artificial colony algorithm is proposed to solve this problem.Finally,the advantages of the algorithm in solving this kind of problem are proved by the case of multiple product combinations.(3)The balance optimization of the U-shaped disassembly line of a multi-objective single product is studied.Based on the Human-Robot Cooperation,a mathematical model is established to solve the multi-objective problems,such as maximizing profit and minimizing pollution.Based on the improvement of mutation and crossover operator,an improved artificial colony algorithm is proposed.Through the example,the method has good performance in solving this kind of problem.(4)The balance optimization of the U-shaped disassembly line with the multi-objective and multi-product is studied.To solve the problem of balance of U-type disassembly line in the condition of incomplete disassembly,this chapter establishes a mathematical model with the optimization of multi-objective which is to obtain as much profit and less energy consumption.Finally,the advantages of the algorithm are proved by examples.Through experiments of several practical cases and comparing with the classical algorithm,the performance of the algorithm is evaluated by Pareto solution and t-test.The performance of the OABC algorithm in the problem of target optimization is verified,which provides guidance for the disassembly line to deal with such problems.