Research On Logistics Service Supply Chain Scheduling Based On Dynamic Order

Logistics is ubiquitous in all aspects of residents' lives and is essential to the development of the national economy.As the core problem of logistics service supply chain scheduling,how to coordinate the ability of logistics service providers is of great importance for integrators in the whole logistics service supply chain.Based on the summary of a series of existing logistics service supply chain order allocation,this paper finds that there are still some defects and deficiencies in the current order allocation models in the logistics field,especially in the vehicle logistics scheduling problem,there are still a lot of space to be optimized.In this context,this paper first reviews the latest research,and then applies the methods of operations research modeling and numerical analysis to carry out the following three aspects of research on the order distribution of logistics service supply chain:(1)the order allocation model in the field of logistics service supply chain in recent years is summarized,and the basic model of order allocation was summarized,which provides theoretical basis for supply chain integrators to reasonably allocate orders.(2)A multi-period integrators dynamic order allocation decision model was proposed,and the effects of integrators' different fair preference degrees on optimal order allocation decisions are analyzed.The research shows that the fair preference of logistics integrators will affect the satisfaction of logistics service providers in multiple periods.When the integrators show the self-interested behavior of cost preference,it will affect their long-term cooperation with logistics providers.(3)Consider the issue of order allocation of the vehicle logistics service supply chain under the transportation mode.In this paper,considering the time and economic characteristics of different modes of transportation in the context of vehicle logistics,a two-level programming order allocation model in the field of vehicle logistics service supply chain was established with the goal of timely delivery and minimum cost of vehicles,and a heuristic hybrid leapfrog two-stage algorithm was designed to solve the problem.The example analysis shows that the proposed optimization model and algorithm can significantly save 169,061 yuan in procurement cost compared with the actual procurement cost of the integrator,saving 4% of the procurement cost for the integrator.The proposed two-stage algorithm has higher advantages in solving speed and solving performance.The research of this paper can provide a certain theoretical basis for enterprises in the logistics service supply chain during time operation,so as to effectively respond to the requirements of the government and logistics customers on the sustainable development,green development and high-efficiency development of the logistics service supply chain.There are 10 figures,21 tables and 68 references in this thesis.