A Study on Random Arrival and Queuing Pricing Models for Trampers at the Anchorage

碩士 === 國立臺灣海洋大學 === 商船學系 === 103 === Trampers have to queue at the anchorage frequently due to the feature that have unfixed shipping schedules, routes and berths. In this research, establish the queuing pricing policy that will eliminate or reduce queuing time and disperse all trampers’ arrival tim...

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Bibliographic Details
Main Authors: Hsieh, Chia-Hsuan, 謝佳璇
Other Authors: Laih , Chen-Hsiu
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/46771037138970867156
Description
Summary:碩士 === 國立臺灣海洋大學 === 商船學系 === 103 === Trampers have to queue at the anchorage frequently due to the feature that have unfixed shipping schedules, routes and berths. In this research, establish the queuing pricing policy that will eliminate or reduce queuing time and disperse all trampers’ arrival times to achieve equilibrium. In the current literatures of queuing pricing model for tramper, length of queuing time is the crucial key point to calculate the equilibrium cost and derive the toll structure. However, these literatures, assume trampers arrival to the port for Poisson distribution. We use Poisson distribution to calculate expected value of vessels for trampers, however expected value of vessels could change as digit of decimal point. In this research use 95% confidence interval to solve this error, in order to improve the model for practice. In addition to this, trampers are successively arriving to the port that will generate headway times and affect queuing time. In this article use Exponential distribution to calculate headway times, in order to the model for accurate. Based on trampers queuing time model to derive the equilibrium cost, and then construction a series of queuing toll scheme including non-queuing toll scheme and optimal toll scheme. Analysis equilibrium arrival rate, schedule delay cost and result of dispersing arrival time for trampers after implementing toll collection. Lastly, according to the data from Taiwan Kaohsiung International Port Corporation, Ltd to verification model. The above descriptions have not yet been concerned with the current literatures. The fruitful results of this research will be expectable to make the queuing theory become more complete and practical.