The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology
碩士 === 國防管理學院 === 國防決策科學研究所 === 90 === Aiming to effectively maintain national defense research and development capacity without sacrificing civilian interests, this research suggests that transnational investment companies that focus on developing the end products or services of dual-use technologi...
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ndltd-TW-090NDMC16830042015-10-13T10:17:27Z http://ndltd.ncl.edu.tw/handle/77653641052288272986 The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology 集中化序列投資最佳模式之研究-以軍民通用科技為例 Kun-Tsung Kuo 郭昆崇 碩士 國防管理學院 國防決策科學研究所 90 Aiming to effectively maintain national defense research and development capacity without sacrificing civilian interests, this research suggests that transnational investment companies that focus on developing the end products or services of dual-use technologies capture on international business investment opportunities and adopt the centralized sequential investment strategy (CSIS) to be the main strategy for entering into international market. Due to the impact of global economic downturn, the planned investment regions closely interact, which in turn contributes to the result that the preceding region usually has an influence on the time required for the following region to achieve predetermined operation rewards. Based on such a premise, this research first assumes regional characteristics is the primary factor that affects the time required for investment regions to achieve the predetermined operation rewards, then considers regional characteristics effect is a linear function and has memoryless property, introduces the concepts of path effectiveness and sequential effectiveness, and finally constructs a non-recurring directed path optimization model that enables all investment regions to achieve the predetermined operation rewards within the shortest period of time in order to enter international market efficiently and effectively. This research uses complexity analysis to explain the difficulty in conventional problem solving, and proposes an algorithm procedure based on genetic algorithm complemented by appropriate method for parameter estimation. Examples are given to illustrate the effectiveness of the model. Since the model proposed in this research is foresight and challenging, the implementation requires coordination of subjective and objective conditions, which is discussed in separate sections. The ending part summarizes the conclusions drawn from this research and recommendations on future research direction. Cheng-Chang Chang Ding-Chou Cheng 張正昌 鄭定洲 2002 學位論文 ; thesis 57 zh-TW |
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碩士 === 國防管理學院 === 國防決策科學研究所 === 90 === Aiming to effectively maintain national defense research and development capacity without sacrificing civilian interests, this research suggests that transnational investment companies that focus on developing the end products or services of dual-use technologies capture on international business investment opportunities and adopt the centralized sequential investment strategy (CSIS) to be the main strategy for entering into international market. Due to the impact of global economic downturn, the planned investment regions closely interact, which in turn contributes to the result that the preceding region usually has an influence on the time required for the following region to achieve predetermined operation rewards. Based on such a premise, this research first assumes regional characteristics is the primary factor that affects the time required for investment regions to achieve the predetermined operation rewards, then considers regional characteristics effect is a linear function and has memoryless property, introduces the concepts of path effectiveness and sequential effectiveness, and finally constructs a non-recurring directed path optimization model that enables all investment regions to achieve the predetermined operation rewards within the shortest period of time in order to enter international market efficiently and effectively. This research uses complexity analysis to explain the difficulty in conventional problem solving, and proposes an algorithm procedure based on genetic algorithm complemented by appropriate method for parameter estimation. Examples are given to illustrate the effectiveness of the model. Since the model proposed in this research is foresight and challenging, the implementation requires coordination of subjective and objective conditions, which is discussed in separate sections. The ending part summarizes the conclusions drawn from this research and recommendations on future research direction.
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author2 |
Cheng-Chang Chang |
author_facet |
Cheng-Chang Chang Kun-Tsung Kuo 郭昆崇 |
author |
Kun-Tsung Kuo 郭昆崇 |
spellingShingle |
Kun-Tsung Kuo 郭昆崇 The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
author_sort |
Kun-Tsung Kuo |
title |
The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
title_short |
The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
title_full |
The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
title_fullStr |
The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
title_full_unstemmed |
The Optimization of a Centralized Sequential Investment Problem-The Case of the Dual-Use Technology |
title_sort |
optimization of a centralized sequential investment problem-the case of the dual-use technology |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/77653641052288272986 |
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