Research On Optimal Management Of Reverse Logistics Of Company B

The home appliance industry is a representative of the civilian industry.After the war,the 21st century household appliance industry has gradually matured,and its products have entered thousands of households,becoming the benchmark for the quality of life of the people and the symbol of the level of industrialized country.With the rapid development of the industry,home appliance companies not only need to consider how to deliver the goods to consumers with economy way,but also how to return the damaged,and quality-defective goods to factory for repair,dismantling or scrapping.Generally referred to as reverse logistics.Reverse logistics can range from product identification recovery to safe retirement or rework and resale.Company B is a long-established manufacturer of household appliances and is headquartered in Germany.According to public information,the company’s sales ranked first in Europe and third in the world.In addition to air conditioning,its products cover almost all large white goods categories.With the development of Company B’s business in China,the number of returns has gradually increased.Returns can be 2-5%of total sales.However,there are still many problems in its reverse logistics.After analyzing the company’s reverse logistics problems,it mainly appears in three aspects.First of all,in the remote area,the vehicle is not full and the returning efficiency is low.Based on the price of the transportation package signed by Company B and the transportation company,the transportation cost is calculated based on the number of vehicles and mileage.However,the number of returns in remote areas is insufficient,and it is often impossible to meet the demand for timely return of goods and full load of vehicles.Secondly,the flexible receiving capacity of the return center receiving the returning machine is insufficient.The return center often arranges production capacity based on experience,which actually leads to a backlog of goods in the transfer warehouse,or a return center warehouse with a capacity transfer but no return goods.Finally,there is a lack of synergy.Insufficient synergy between the transfer warehouse,vehicle dispatching,and receiving and returning centers has resulted in poor reverse logistics activities.The reason is mainly caused by four aspects.First,the reverse logistics network and route design are backward.The return network and line should be optimized according to the quantity of returns and the location of the transfer library to improve efficiency and reduce costs.Second,the lack of coordination mechanism for demand and capacity has not linked the amount of returns to the main capacity of the returning center,resulting in abnormal total inventory in the system and a waste of energy returned to the center.Third,there is a lack of demand forecasting,that is,the lack of a scientific plan,and the reverse logistics system blindly arranges the plan.Fourth,the organizational structure and assessment mechanism are unreasonable,and the reverse of the respective objectives of the reverse logistics organization’s political assessment leads to the artificial consumption of the reverse system.In order to solve the above problems,this paper proposes a set of solutions and a set of safeguard measures according to the methods of operations research and lean management to help enterprises optimize the reverse logistics system and ensure the operation of the system.That is,first,the return network path is optimized according to the minimum cost network flow model to solve the problem of backward network design.Secondly,predict the number of returns based on the seasonal trend model and solve the problem of blind planning.Thirdly,according to the waiting line economic model in the queuing theory,the problem of returning warehouse scheduling and total system return rhythm is solved.Finally,according to the optimization results,the return process,organizational structure,data analysis system and assessment system have been redesigned,so that the optimization measures are guaranteed.