scholarly journals Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Ming-fei Chen ◽  
Yan-qiu Liu ◽  
Yang Song ◽  
Qi Sun ◽  
Chuang-chuang Cong

A production department and two distribution departments form a multimodal logistics supply network. The production department provides two ordering opportunities within one production cycle, and the real-time updates of demand information are required in the interval between two orders. Based on this, the paper studies the security inventory optimization problem of multimodal transport networks. On the basis of portraying the real-time information update process, the multimodal network optimization model without considering safety stock and the multimodal network optimization model considering safety stock are constructed, respectively, and the transshipment price and demand information of the intermodal network are updated. The parameters are analyzed for sensitivity. The analysis of examples shows that, on the one hand, with the update of demand information, the distribution department adopts the multimodal transport model with safety stock to improve the profit of the distribution department and the supply network. On the other hand, the production sector can meet market demand with a lower production scale, while the distribution department can effectively respond to stochastic demand through a multimodal model with safety stock.

2019 ◽  
pp. 16-19
Author(s):  
Nina Vojdani

The baltic sea traffics are in particular characterized by ferry and RoRo traffic. Numerous ferry connections link the neighboring countries and thus allow for an exchange of goods. The use of real time information still has untapped potential so that the respective initial and terminal hauls as well as port‐related transshipment processes can be matched to the ferry traffic as a major part of journey in multimodal transport chains. In this way, to provide dispatchers with decision‐relevant real time information enables timely decision‐making, not only with regard to efficient fleet management, but also with a view to a better customer service.


1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.


Sign in / Sign up

Export Citation Format

Share Document