碩士 / 國立交通大學 / 運輸與物流管理學系 / 104 / In the past decades, world trade have been growing so that we are much more rely on the sea transportation. The resulting cargo traffic growth and the increase of demand lead the ports into congested problem. Therefore, how to manage the ports efficiently is a key point. This study introduces revenue management (RM) strategy to do the price discrimination. This study divides the port handling cycle into peak hour and off-peak hour. Because each shipping line has their own preferences time slot and the willingness-to-pay (WTP), we can get the time window of each shipping line. And then we have to know if the ports can service all the ships or not. So the research developed an integer programming (IP) model for the midterm berth template problem. With the objective of revenue maximization, the ports manager can have more revenue and use the set of price to reduce the congested problem. This study develops a bi-level modeling framework to link the two decisions: pricing and berthing. The pricing decision in the upper-level problem determines the rate of the berthing service with respect to time. In the lower-level problem, the shipping lines make the berthing requests based on the pricing decision of the terminal operator, and the berth planning decision is made accordingly. This study use the feedback information from the lower-level to search price in the upper-level. And in the lower level uses the path growing algorithm to find the solution efficiently.
| Identifer | oai:union.ndltd.org:TW/104NCTU5423038 |
| Date | January 2016 |
| Creators | Weng, Yu-Nung, 翁雨農 |
| Contributors | Huang, KuanCheng, 黃寬丞 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 37 |
Page generated in 0.0163 seconds