This paper studies the integrated optimization of two-way truck scheduling for import and export container collection and distribution of port and surrounding hinterland with time window constraints. A multi-dimensional time-space-state network was constructed based on the physical network to dynamically reflect the spatio-temporal trajectory and loading conditions of trucks. Aiming at maximizing the container volume of collection and distribution, minimizing the total transport cost and the amount of trucks dispatched, a multi-objective integer programming model was formulated to optimize the truck scheduling for port container collection and distribution based on service network. Taking the short distance import and export container collection and distribution in Shanghai Port of the Yangtze Delta as an example, the Gurobi9.5.2 was used to solve the optimization model. The results indicated that the multi-dimensional time-space-state network can rationally plan the truck routes and collecting and distributing process, thus achieving the integrated optimization of two-way truck scheduling for port container collection and distribution with time window constraints while dynamically reflecting the spatio-temporal trajectory and loading conditions of trucks. These inferences are expected to serve as a theoretical support for sustainable source of port collection and distribution.
The construction of China Railway Express (CRE) distribution centres plays an important role in improving the operational efficiency of CRE and promoting the development of regional economy. However, it is difficult to quantify the relevance of distribution centres because there are fewer studies on the cargo sources radiation range. This paper is intended to determine the radiation range of the cargo sources and provide a quantitative approach for CRE distribution centres’ planning. First, a comprehensive strength evaluation indicator system was constructed based on the urban economic development, transportation capacity and the operational status of CRE. Then, an AHP-Entropy method was used to determine the weight of each indicator and obtain the comprehensive strength of the city. According to the obtained comprehensive strength and the characteristics of the city’s cargo distribution, an urban thermal radiation model was constructed to calculate the cargo sources radiation range integrated with field strength theory. Finally, the break-point model was utilized to verify the proposed model. The results showed that the calculations were consistent with actual case, and results obtained by using the thermal radiation model in Urumqi were more reliable.
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