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論文中文名稱:雲端運算服務廠商之訂價策略演化-基於代理人模擬模型 [以論文名稱查詢館藏系統]
論文英文名稱:Pricing Strategy Evolution of Cloud Computing– Agent-Based Model [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:管理學院
系所名稱:資訊管理研究所
畢業學年度:102
出版年度:103
中文姓名:徐崇閔
英文姓名:Chung-Min Hsu
研究生學號:101938007
學位類別:碩士
語文別:中文
口試日期:2014-06-19
論文頁數:68
指導教授中文名:王貞淑
口試委員中文名:蕭文龍;洪英訓
中文關鍵詞:雲端運算基於代理人模型價格策略
英文關鍵詞:Cloud ComputingAgent-based modelPricing strategy
論文中文摘要:雲端運算是近年來資訊產業主要的發展趨勢,相關應用技術已經逐漸成熟,越來越多廠商進入雲端產業,競爭雲端服務這塊市場,隨之伴著價格競爭,而訂價策略就益顯重要。然而訂價策略無固定模式,選擇適合的訂價策略是困難的。訂價策略影響廠商利潤及長期發展,尤其在雲端運算新興產業上更為明顯,它影響雲端服務供應商佈局及經營。
本研究討論雲端運算服務廠商訂價策略,利用代理人模型特性,來建構複雜社會性,進行廠商的價格行為模擬。以基因演算法建構代理人模型,設定單一代理人代表個別廠商,並以基因編碼設計出廠商代理人個別要素,透過基因演算法的演化方式,來進行廠商在市場上的相互學習過程,進而改善自身的價格行為。模擬該廠商在當時市場環境下,所挑選出最適合訂價策略。本研究是設計廠商訂價策略的互動模型,以期提供給雲端服務廠商進行市場的訂價行為模擬,進而對廠商訂價策略作為參考。
論文英文摘要:In recent years, Cloud Computing is a major development in IT industry, relevant application technology has gradually matured, more and more manufacturers enter the Cloud industry, this market of competition cloud services followed accompanied by price competition, pricing strategy will benefit significantly important. However, because no fixed pricing strategy mode, so select the appropriate pricing strategy is difficult. Pricing strategy of firm profits and long-term development, especially in the emerging cloud computing industry is more obvious, it affects the layout of the cloud service providers and operators.
In this study, used agent-based model characteristics to progressive manufacturers price behavior simulation to discuss cloud computing service vendor pricing strategy. To construct an agent-based model and encoding an agent for individual elements of the way through the evolution of the Genetic Algorithm, Through the evolution of the genetic algorithm approach, to manufacturers in the market mutual learning process, thus improving their price behavior, selection of the most suitable pricing strategy on simulation vendors in the current market environment. This study was designed to interact with the model maker's pricing strategy, pricing behavior in order to provide cloud services vendors to market simulation, thus pricing strategy for manufacturers as a reference.
論文目次:中文摘要 i
英文摘要 ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.4 研究流程 4
第二章 文獻探討 5
2.1 雲端運算及收費模式 5
2.2 訂價策略 9
2.2.1 訂價策略三種基礎結構 9
2.2.2 訂價策略優缺點 10
2.3 代理人模型 13
2.4 基因演算法 15
2.4.1 基因演算法 15
2.4.2 社會式學習與個體式學習 18
第三章 模型建構 19
3.1 問題定義 19
3.2 模型設定 20
3.2.1 模型限制 23
3.2.2 基因染色體定義 23
3.2.3 演化方式 26
第四章 實驗設計 28
4.1 實驗設計(一) 28
4.2 實驗設計(二) 30
4.3 實驗設計(三) 31
第五章 實驗結果 32
5.1 總資源與價格策略之關係 32
5.1.1同類型廠商、社會式學習下,總資源與價格策略之關係 32
5.1.2 不同類型廠商、社會式學習下,總資源與價格策略之關係 35
5.1.3 不同類型廠商、個體式學習下,總資源與價格策略之關係 38
5.1.4 總資源與價格策略之小結 41
5.2 單位成本與價格策略之關係 43
5.2.1 同類型廠商、社會式學習下,單位成本與價格策略之關係 43
5.2.2不同類型廠商、社會式學習下,單位成本與價格策略之關係 46
5.2.3 不同類型廠商、個體式學習下,單位成本與價格策略之關係 50
5.2.4 單位成本與價格策略之小結 53
5.3 供給量與價格策略之關係 54
5.3.1 同類型廠商、社會式學習下,供給量與價格策略之關係 54
5.3.2 不同類型廠商、社會式學習下,供給量與價格策略之關係 57
5.3.3 不同類型廠商、個體式學習下,供給量與價格策略之關係 58
5.3.4 單位成本與價格策略之小結 61
5.4 設備擴建與設備維護 63
第六章 結論及未來建議 65
6.1 結論 65
6.2 未來建議 66
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論文全文使用權限:同意授權於2016-08-06起公開