Multi-Objective Optimization Method For The Sustainable Logistics Facilities Location Problems

The research on multi-objective optimization method of sustainable logistics facility location problem has very important theoretical significance and application value.Since customer satisfaction is a potential value of enterprises and plays an important role in the sustainable development of enterprises,improving customer satisfaction has become one of the key issues in the sustainable logistics facility location problems.This paper aimed at the Tang put forward the sustainable logistics facility location of multi-objective optimization model was improved,with the introduction of satisfaction function to measure the customer satisfaction of logistics companies to provide services and enterprise's sustainable development ability,build the minimum cost,average customer satisfaction with the largest and lowest carbon emissions as the goal of multi-objective optimization model of sustainable logistics facility location problem is studied.Then the improved greedy algorithm is used to carry out numerical experiments.Then on the basis of considering the capacity limit of logistics facility,a new multi-objective optimization model is established and the properties of the solutions are analyzed.Finally,genetic algorithm is used to carry out numerical experiments.Chapter 1,in this paper,the multi-objective optimization problem,the sustainable of uncapacitated logistics facility location problem and the sustainable of capacitated logistics facility location problem are presented,and puts forward the main research content.Chapter 2,this paper mainly improves the multi-objective optimization model of the sustainable of logistics facilities location problem proposed by Tang et al.Tang et al.adopted the form of MINMAX in the model,which would complicate the calculation of the model.Moreover,the multi-objective optimization model established by Tang did not consider whether or not the customers were satisfied with the services provided by the logistics company,or even the degree of satisfaction,when providing services to customers.This is not good for the sustainable development of the logistics distribution service center.In this chapter,by introducing the satisfaction function to describe the satisfaction degree of customers to the services provided by the logistics distribution service center.By building the goal of maximizing the average customer satisfaction,the multi-objective optimization model of sustainable logistics facility location proposed by Tang et al.was improved,and the improved greedy algorithm was used to carry out numerical experiments.Chapter 3,considering the capacity limit on the basis of the model in the second chapter.Since logistics distribution centers have capacity constraints in real life,if each candidate logistics facility is studied with different capacity limits,the model built is generally very complex,which will bring great obstacles to the efficient solution of the model.In this chapter,firstly,the capacity limitation is reasonably assumed.Secondly,the multi-objective optimization model of the sustainable of capacitated logistics facility location problem is constructed.Based on this,the properties of the solution of the multiobjective optimization model are analyzed.The results of numerical experiments show that the multi-objective optimization model of the sustainable of capacitated logistics facility location problem proposed in this paper can be effectively used in the problem of sustainable logistics facility location,and the multi-objective optimization model built for the problem of sustainable logistics facility location problem has good numerical experimental results.