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The Container Shipping Network Design Based On Stochastic Demand And Low Carbon

Posted on:2015-01-06Degree:MasterType:Thesis
Country:ChinaCandidate:H DuanFull Text:PDF
GTID:2252330428482115Subject:Logistics Engineering
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The deepening of global economic integration brings the rapid development of international trade, container shipping has become the main transportation mode of the world shipping by right of its convenient, efficient, safe, cheap and suitable for multiple conveyance. Shipping companies commonly adopt hub-and-spoke network as their operation network to obtain the best economic benefit.Due to the complexity of container shipping market, container OD usually can not be accurately forecasted. At the moment, IMO’s CO2emissions system of global maritime has a direct effect on shipping company’s operation network. How to seek the balance of carbon emission reduction and control cost is shipping company’s main problem. Under the perspective of shipping company, a hub-and-spoke container shipping network considering stochastic demands and CO2emissions is discussed.For the stochastic OD demands, we assume container OD demand is random variable obeying probability distribution. For CO2emissions, we use a Top-Down Approach to calculate CO2emissions, and transform it into CO2emissions costs with carbon taxes which is widely adopted at abroad. Under the vision of hub-and-spoke container shipping network design, the interrelation of port nodes, route segments and container OD is analyzed. Due to the influence of stochastic container OD demands and CO2emissions costs on hub-and-spoke container shipping network design, the stochastic programming approach is used to establish a hub-and-spoke container shipping network optimization model under stochastic OD demands and considering CO2emissions costs. The model ensure that a minimum generalized total costs(container transportation costs, hub port costs and CO2emissions costs) can be obtained. Finally the model is transformed into a deterministic equivalent model with chance constrained function, and then a genetic algorithm is applied to solve the model. The findings show that the model and algorithm are feasible. Furthermore, CO2emissions costs are negatively correlated with berthing number of hub port, CO2emissions costs is help to reduce energy consumption, scale economy affects the hub-and-spoke container shipping network design, the stochastic model has a cost advantage compared with the deterministic model.
Keywords/Search Tags:hub-and-spoke network, container OD, CO2emissions, stochastic
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