Optimization And Implementation Of Steel Logistics Distribution In A Construction Enterprise

Due to the economic downturn in recent years,China’s steel industry has been selling unsalable,and 2017 is the year of capacity production.In 2018,we must continue to complete the arduous task of capacity.Iron and steel logistics industry is facing great opportunities and challenges.At the same time,due to many unstable factors in the world,the international oil price has risen all the year,which has thrown a new difficult problem for the logistics and transportation cost of enterprises.If the enterprises still stop,choose the original logistics distribution mode,not follow the pace of the development of the times,there will be some problems,such as high logistics cost,low delivery efficiency,poor customer experience,poor quality of service,serious people will be eliminated by the society and replaced by new enterprises.The unreasonable logistics and distribution system not only increases the cost of logistics,the efficiency of logistics distribution,the increase of travel time and the growth of distribution line,but also produces a certain burden on the traffic of the city.In order to meet the needs of the customers,reduce the transportation cost of logistics distribution,maximize the interests of the enterprise,find out the problems of the enterprise logistics distribution system,optimize the vehicle distribution path by scientific method and establish the efficient and reasonable vehicle adjustment system of the enterprise distribution center,it has important theoretical and practical meaning.In this paper,a Chongqing construction and material supply Co.,Ltd.(hereinafter referred to as "A company")is the research object.After reading a lot of literature on the optimization of logistics distribution path at home and abroad,this paper analyzes and studies the current problems of steel logistics distribution in A company.Finally,two kinds of vehicle routing optimization algorithms are selected,that is,simulated regression.Fire algorithm and genetic algorithm are applied to optimize vehicle scheduling and routing problem in A steel logistics distribution system.Because of the replicability of the multi distribution center,this paper only analyzes and studies the steel distribution and transportation route of 1 distribution centers in one area of A company,in order to realize the requirements of the integration of logistics and transportation in enterprises,reduce the cost of logistics and transport of enterprises,and improve the profit rate of enterprises.The main contents of the paper are as follows:(1)This paper reads the research literature on logistics distribution vehicle scheduling,analyzes the characteristics,current situation and main existing problems of China’s steel logistics and distribution,introduces the relevant theoretical knowledge of the path optimization problem(VRP),combs the related theories(heuristic algorithm,accurate algorithm),and combines the existing research problems with the existing research.In order to optimize the vehicle scheduling problem,a simulated annealing algorithm and a genetic algorithm are selected.(2)In Chongqing Province Building Materials Logistics Company Limited(A company)as the research object,introduces and analyzes the steel logistics and distribution situation of A company,and analyzes the annealing algorithm and genetic algorithm in vehicle routing optimization principle and concrete realization steps and processes,through the computer assembly language(C language)the annealing algorithm and genetic algorithm,the A company distribution center and distribution path optimization with scientific methods;by comparing the results of the two algorithms and the exact solution,and the comparative analysis of calculation results of two kinds of algorithms,advantages and disadvantages of the two algorithms;(3)At A,there are special circumstances need to borrow from the stock near the warehouse are analyzed,put forward two improvement schemes of this situation,compared with the original enterprise transportation plan,put forward the improvement measures of A company in this particular case,the use of scientific methods,greatly improving the work efficiency.