Optimization of Truckload Unloading Process for Railway Freight Transportation Based on Stochastic Petri Net
In recent years,the continuously expanding railway network and more and more sophisticated logistics infrastructure in China have driven the freight volume to successively new heights.For a long time,the optimization of operating procedures has improved the efficiency of railway cargo transportation organiza-tion.Unloading is the basis for train emptying and loading,and is an important part of railway freight arrival op-erations.It is the key to the correct,quick and timely organization of the unloading operation and to ensuring the quality of cargo transportation,the sufficiency of vehicle supply,the completion of the emptying task,high-er truck turnover,and more effective truck usage,which is of great significance to achieve the goal of"improv-ing quality and efficiency"in the railway freight transportation industry.In this paper,we modeled the railway truck unloading process based on the stochastic Petri net,and used the Markov method to analyze the operating efficiency of a transportation operation process system in practice as well as the throughput and response capabilities of the system nodes.We then quantified the status and stabil-ity of the links of the system to obtain the optimization solution.On this basis,we diagnosed the current rail-way truck unloading process,and concluded that the stochastic Petri net based solution had long average delay time,undesirable nodal throughput and response capabilities,and suboptimal overall system operating efficien-cy.In view of the problems with the existing railway truck unloading process such as cumbersome operating procedures,low intelligent level,poor information transmission,and lack of operating standardization,and based on the two objectives of"improving quality and efficiency"and"coordination and orderliness",we ana-lyzed the optimization of the railway truck unloading process,and proposed a series of optimization measures such as improving intelligent level,strengthening internal information integration,and reinforcing on-site op-eration quality monitoring,etc.We then modeled the optimized process and analyzed its performance again.Judging by the optimization result,the response time and throughput capabilities of the truck unloading system have been improved by a certain extent and the average delay of the system was optimized from 414.92min to 378.83min.The research results showed that the optimization measures for the unloading process were effec-tive and could enhance the throughput and response capabilities of the nodes and improve the efficiency of the unloading process.This study aims to improve the efficiency of railway freight transport organization and provide reference for continued and in-depth railway freight reform.Based on the results of this study,future research directions are proposed:on the basis of the optimization of the unloading process,further optimization research should be conducted on other sub-processes of vehicle arrival operations such as internal delivery procedure and external delivery procedure,so as to improve the overall organizational efficiency of railway freight transportation in China and provide positive impetus to the ongoing railway freight transportation reform and the development of the railway freight transportation in China.
railway freight transportationstochastic Petri nettruckload transportationunloading pro-cessprocess optimization
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