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研究生: 王奕翔
Yi-Hsiang Wang
論文名稱: 海港-乾港系統中 出口貨櫃的三階層儲存定價模型
A tri-level storage pricing model for outbound containers in a seaport-dryport system
指導教授: 曹譽鐘
Yu-Chung Tsao
口試委員: 喻奉天
F. Yu
郭伯勳
Po-Hsun Kuo
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 53
中文關鍵詞: 儲存定價無水港乾港海港內陸運輸三階層模型
外文關鍵詞: Storage pricing, Dry port, Seaport, Outbound containers, Inland logistic, Trilevel programming
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  • 近年來,港口發展十分迅速且競爭激烈,因乾港有著擴大港口腹地並解決港口壅塞的特性,以至於建置乾港成為海運業的一大趨勢。此篇論文提出了一決策在海港-乾港系統出口貨櫃最佳儲存定價之模型,描述一位託運者將欲出口貨物運送經由乾港,而後運送至海港裝船出口。在託運者、乾港與海港三者之間的互動構成了三階層之模式。海港與乾港做出最佳定價決策以最大化各自之利潤,而託運者基於海港與乾港之定價做出最佳運送排程以最小化運送成本。本篇論文使用數據範例展示了求解三階層模型之過程,並探討參數對於託運者之成本,海港與乾港之利潤的影響,得到了一些與既有認知相反的發現。當乾港與海港之間運送頻率增加時,海港之利潤反而會下降;並且當海港提供免費儲存天數下降時,海港之利潤也不增反減。


    Being a potential solution for seaport capacity limitation and congestion, dry port becomes more and more popular in the sea transportation industry. This paper presents a model for determining the optimal storage pricing for outbound containers in a seaport-dryport system, which describing one shipper delivers the containers to the dry port and then to the seaport. The interaction among a seaport, dry port and a shipper is modeled as a tri-level program. The seaport and the dry port determine the optimal storage price to maximize their own profit. Based on dry port’s and seaport’s decision, the shipper determines the shipment schedule to minimize its total cost. A numerical example is provided to illustrate the solution procedure and a sensitivity analysis is performed to investigate the effect of parameters on decisions of shipper’s cost, dry port’s and seaport’s profits. Contrary to intuition, the seaport’s profit may decrease with the increase of container delivery frequency from dry port to seaport when the frequency is high and the seaport’s profit may decrease when the free-time limit is too low.

    摘要 Ⅰ ABSTRACT Ⅱ ACKNOWLEDGEMENT Ⅲ CONTENTS Ⅳ LIST OF FIGURES Ⅴ LIST OF TABLES Ⅴ CHAPTER 1 INTRODUCTION 1 1.1 Background and Motivation 1 1.2 Research Objectives 3 1.3 Research Organization 3 CHAPTER 2 LITERATURE REVIEW 5 2.1 Storage pricing 5 2.2 Dry port system 9 CHAPTER 3 THE TRILEVEL PROGRAMMING MODEL 12 3.1 Notations and Assumptions 13 3.2 Mathematical Model 16 3.2.1 Dry port model 16 3.2.2 Seaport model 18 3.2.3 Shipper model 21 3.2.4 Trilevel model 22 3.3 Solution Approach 23 3.3.1 Shipper’s best reaction 23 3.3.2 Dry port’s optimal decision 26 3.3.2 Seaport’s optimal decision 28 CHAPTER 4 NUMERICAL ANALYSIS 30 4.1 Numerical Examples 30 4.2 Sensitivity Analysis 36 CHAPTER 5 CONCLUSION 41 5.1 Conclusions 41 5.2 Future Research 42 REFERENCE 43 LIST OF FIGURES Figure 1. Container flow from shipper 12 Figure 2. Inventory of containers at seaport and dry port 16 Figure 3. Profit of seaport 29 Figure 4. Graphical description of S_S and P_S 35 Figure 5. Graphical description ofS_D and P_D 35 Figure 6. Graphical description ofN_S and C 35 Figure 7. Impact of parameters on P_S 38 Figure 8. Impact of parameters on P_D 38 Figure 9. Impact of parameters on C 38 Figure 10. Impact of parameters on S_S 39 Figure 11. Impact of parameters on S_D 39 Figure 12. Impact of parameters on N_S 39 LIST OF TABLES Table 1. The input parameters 31 Table 2. Numerical result 31 Table 3. Impact of parameters on P_S 32 Table 4. Impact of parameters on P_D 32 Table 5. Impact of parameters on C 32 Table 6. Impact of parameters on S_S 33 Table 7. Impact of parameters on S_D 33 Table 8. Impact of parameters on N_S 33 Table 9. Impact of key parameters on the decisions and performances 34

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