| URN |
etd-0625122-115414 |
Statistics |
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|
| Author |
VANESSA YIN-XIAN, GOH |
| Author's Email Address |
goh_9804@hotmail.com |
| Department |
Institute of Industrial Management |
| Year |
2021 |
Semester |
2 |
| Degree |
Master |
Type of Document |
Master's Thesis |
| Language |
zh-TW.Big5 Chinese |
Page Count |
56 |
| Title |
Study on the Robust Itinerary Planning |
| Keyword |
minimum path
reliability
flow network
robust planning
itinerary planning
itinerary planning
robust planning
flow network
reliability
minimum path
|
| Abstract |
Tourism is an indispensable part of modern life. Good tourism quality can make the members of the group who participate in the event have endless memories in their lives. Therefore, a sound itinerary planning is an important part of maintaining good tourism quality. Traditional itinerary planning is mostly based on the personal experience of the tour guide. Therefore, the tour may be in a package form, with insufficient flexibility, and it is often difficult to react when encounter unexpected events. In response, this article firstly uses the reliability theory to conduct a robust itinerary planning. It uses objective statistical data to obtain scientifically based planning recommendations to maintain a good level of tourism quality. This article also gives a numerical example to illustrate how to use this method to provide reference for the travel industry. |
| Advisor Committee |
SHIN-GUANG CHEN - advisor
CHENG-TA YEH - co-chair
PING-CHEN CHANG - co-chair
|
| Files |
indicate access worldwide |
| Date of Defense |
2022-05-27 |
Date of Submission |
2022-06-25 |
