Name
Abstract | ||
|---|---|---|
detecting risk factors during freight period and making prevention or emergency measures is very important for reducing the probability of freight delay. In literatures, the operating time of function is considered as the fatal factor which affect freight period. More time the operation occupy, more important the function. But operating time of function can't reflect primary reason which results in freight delay. In our research, we take risk factors affecting freight period into consideration. From the perspective of transit scenario, we systematically analyze risk factors, mine the relationship among risk factors, and realize the dynamic merge of different freight scenario. This method can truly reflect fundamental factors affecting the freight period. So the management of freight period forewarning can be procedural, fine and dynamic. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016) | freight period, forewarning model, risk factors, scenario merge component |
Field | DocType | Citations |
Operating time,Traffic management,Operations research,Merge (version control),Rail transportation,Operations management,Business | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beibei Pang | 1 | 0 | 0.34 |
| Juanqiong Gou | 2 | 15 | 6.99 |
| Wenxin Mu | 3 | 0 | 0.68 |
| Huan Qiao | 4 | 0 | 0.34 |