2019
DOI: 10.1155/2019/1979275
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Dynamic Network Planning of Underground Logistics System on Uncertainty Graph

Abstract: When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logist… Show more

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Cited by 7 publications
(7 citation statements)
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“…Multimode facility location-routing is another factor that greatly affects the implementation efficiency and operation cost of ULSs [25]. Considering the uncertainty of logistics nodes, network planning is vital for managing the total cost and risk of ULSs [26]. Dynamic and uncertain graph programming have been applied to address the ULS planning issue [26].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Multimode facility location-routing is another factor that greatly affects the implementation efficiency and operation cost of ULSs [25]. Considering the uncertainty of logistics nodes, network planning is vital for managing the total cost and risk of ULSs [26]. Dynamic and uncertain graph programming have been applied to address the ULS planning issue [26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Considering the uncertainty of logistics nodes, network planning is vital for managing the total cost and risk of ULSs [26]. Dynamic and uncertain graph programming have been applied to address the ULS planning issue [26]. Hu et al [27] stated that M-ULS prototypes should fulfill the requirements associated with the demand flows, hierarchies, and facility features of an M-ULS network.…”
Section: Literature Reviewmentioning
confidence: 99%
“…With the recognition of ULS, the research began to be closely related to urban logistics and dynamic planning, and gradually moved to the application research stage. The research topics focus on underground space development and management [26,27], pipe network site selection and construction [28,29], cost-benefit analysis [30][31][32], operation plan research [33,34], etc. The coordinated operation of urban underground logistics and urban subway has become a research hotspot.…”
Section: Literature Evolution Pathmentioning
confidence: 99%
“…Li and Wang [92] used Steiner minimum tree and found another way optimize the path by simulated plant growth algorithm (PGSA). Zhong et al [28] proposed a dynamic programming model, which comprehensively uses the uncertainty graph and the improved SA. This model reflects the network construction progress and dynamic evolution process in the solution process, and is more in line with the network planning process in reality.…”
Section: Routing Problem (Rp)mentioning
confidence: 99%
“…Some scholars designed the conceptual model of the underground logistics system with Cargo Cap as the carrier, advised pallet-size freight and carried out the network planning and terminal model design within certain areas [24]. Other scholars have carried out the network planning of underground logistics system by using the theories of the uncertain graph and dynamic programming [25]; when it comes to route selection, certain scholars used a genetic algorithm to plan the layout of the distribution route considering the time and investment [26]. Other scholars, taking into account the interests of both logistics planning decision-making departments and customers, used the bi-level programming model to study the location of logistics nodes in the construction of the underground logistics system [27].…”
Section: Literature Reviewmentioning
confidence: 99%