Optimization Design Of Sustainable Closed-loop Supply Chain Network Based On Improved NSGA-? Algorithm

As people on the environment,legal compliance,raw material availability and customer demand for green products is becoming more and more attention,for enterprises that are looking for ways to improve their supply chain efficiency.But the reverse logistics network is an ideal route,the company must be able to consult a reliable 3PRLS,and to evaluate and choose the best 3PRLS is an important decision problem.Therefore,this paper aims to design a sustainable supply chain network that is optimized and cost-effective.It uses third party reverse logistics services to reduce the overall cost,ambiguity,subjectivity and increase flexibility,so that manufacturers can save more capital to invest in other areas.This paper aimed at the sustainability and uncertainty,considering the suppliers,manufacturers,distributors,customers center and collect inspection center,disposal and recycling centers and service centers,with costs,minimize environmental impact and social influence maximization as the goal,set up the fuzzy multi-objective mixed integer linear programming(FMOMILP)model,based on the triangle fuzzy number theory,the FMOMILP model is transformed into a deterministic mixed integer linear programming(MILP)model by weighted average method to solve the complex multi-level sustainable CLSC network design problem.Secondly,considering the fuzziness of customer demand and facility capacity,an improved NSGA-? algorithm was proposed based on immune operator to find the Pareto frontier of optimal design of sustainable closed-loop supply chain network,at the same time,the effectiveness of the improved NSGA-? algorithm is proved by using the test functions ZDT1,DTLZ1 and CPLEX software,and compared with the initial NSGA-? algorithm,multi-objective simulated annealing method and particle swarm optimization algorithm.It is verified that with the increase of the complexity of the problem,The improved NSGA-? algorithm has more advantages in efficiency,diversity and convergence performance.Finally,in order to select the best supplier,the fuzzy decision laboratory method(R-DEMATEL)and fuzzy multi-attribute boundary estimation area Comparison method(R-MABAC)are combined to deal with the complexity of 3PRLS evaluation and the uncertainty of decision criteria,and the R-DEMATE1-MABAC method is compared with other multi-standard decision methods.It is verified that the combination method can not only effectively determine the most suitable supplier,but also accurately rank the suppliers.