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Optimization Design Of Transportation Route For Bulk Goods In Zhoushan Archipelago

Posted on:2020-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:L Y XiaoFull Text:PDF
GTID:2392330602458442Subject:Engineering
Abstract/Summary:PDF Full Text Request
According to the development plan of Zhoushan archipelago new area,the construction and optimization of the logistics network of the new archipelago new area become the most important.With the increasing standard of living in the islands,the demand for groceries,bulk goods and necessities is also increasing,and the demand for logistics service level in the islands is also higher and higher.Zhoushan Islands surrounded by the sea,driven by the overall economic development,the island residents living standards continue to improve,the demand for goods also increased accordingly.And in the practical application,the freight demand inside and outside the archipelago is not a one·off occurrenee,but a circular and continuous transportation demand.Most of the current routes are based on demand.The random transportation of cargo caused the confusion of the route arrangement,the overlap of different routes in different periods,the unreasonable distribution of transportation capacity,and the fact that the service level of the route could not meet the requirements of the shipper,and so on.The network of transportation routes of bulk goods becomes more and more chaotic and cannot meet the increasing demand of transportation of bulk goods,which hinders the development of bulk goods trade.Therefore,it is an urgent problem to arrange reasonably the shipping route network of Zhoushan Islands,improve the efficiency of shipping network and reduce the operating cost of shipping companies.In view of the geographical structure and environmental characteristics of Zhoushan Islands,this paper studies the optimal design and allocation of shipping routes in the shipping logistics system of Zhoushan Islands from the point of view of ship operators.The main purpose of the new Zhoushan archipelago can be fixed-point customers,regular,fixed-time service.Determine the optimal transportation route and ship number and type under different service level,and work out the shift frequency and schedule as well as the basic freight rate per unit weight of each island.The mathematical programming model with minimum total operating cost as objective function is constructed from three aspects of shipping cost,fixed use cost and penalty cost.Type.In this paper,the genetic algorithm is used to design the initial solution structure,and the simulated annealing algorithm is used to solve it iteratively.The GASA algorithm is constructed,and the transportation example of Zhoushan archipelago cargo ship is analyzed.The calculation results show that the planned transportation scheme ean not only meet the requirements of serviee level but aiso achieve the purpose of reducing the total cost,which provides a technical method for ship operators in actual operation.The main innovation is:most of the previous studies are based on the fixed route configuration or optimization of the existing route allocation,or the planning and design of the route under the condition of a certain type of ship and its quantity,This paper is to carry on the multi-route,the multi-ship type route design to the general cargo transportation which does not have any route network;At the same time,carry on the delivery,pick up the cargo quantity demand.In addition,restrictions on the level of service and penalty costs have been introduced,and shipping companies may,while ensuring that the overall level of service is met,abandon requests for the transport of a small number of goods and choose not to aceept orders for goods,However,the quantity of goods abandoned will result in a higher punishment.Ben.Finally,make a fixed schedule and the frequency and freight of each route.This method is relatively simple and corrvenient in practical operation,and is easy to be integrated into decision support system for practical use.
Keywords/Search Tags:waterway transportation, route design, service level, dispatching frequency, GASA algorithm
PDF Full Text Request
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