Study On Location Routing Problem Of Distribution Node In Grid Enterprises

With the demand high-level public service increasing and the development of logistics rapidly evolving,the enterprises of grid pay more attention to improving their power material logistics.However,most existing power material logistics system of grid enterprises is running in a costly and inefficient way.In order to manage power material in a more scientific and normative methods,which can improve enterprise’s core competitiveness,they devote to construct the power material logistics system.Due to the particularity of grid enterprises,the requirement of delivery timeliness is relatively high.The material must be delivered to the site in time.Otherwise the longtime power outage will cause society instability and economy loss.Therefore the design of power material logistics needs to meet higher requirement.Base on this background,a location optimization model of power material logistics is put forward in this paper.This model contains the covering vehicle routing problem,which can optimize the delivery routes of power material.XX Grid is taken as the research object of this paper,intending to analyze the problems in existing power material logistics system.After analysis of logistic network structure and configuration,the optimizing strategies are put forward.Corresponding to these strategies,a location optimization model based on covering vehicle routing problem is constructed.And a hybrid heuristic algorithm combining simulated annealing(SA)and iterated local search is devised to solve model.And its advantages of short solution time,fast convergence and high solution accuracy are also verified by numerical examples.Then a case study is conducted,the actual parameters are put into model to get a solution.In order to analyze the influence on cost of different parameters,sensitivity analysis of parameters is conducted,which verified the stability of model as well.Finally,according to the results of solutions and analysis,suggestions of power material logistics site location and delivery are put forward.