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研究生:張仲鈞
研究生(外文):CHUN-CHUNG CHANG
論文名稱:第四方物流決策支援系統 - 系統塑模與模組化架構
論文名稱(外文):A Modeling and Modularization Framework of the 4th Party LSP's Decision Support System
指導教授:高信培高信培引用關係
學位類別:碩士
校院名稱:國立中央大學
系所名稱:工業管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:75
中文關鍵詞:第四方物流決策支援系統統一塑模語言層級分析法離散事件模擬
外文關鍵詞:Forth-party logisticsUnified Modeling LanguageDecision Support SystemAnalytic Hierarchy ProcessDiscrete Event Simulation
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隨著經濟全球化的發展與網路經濟的興起,全球物流服務業加速發展。不同於以往的購物模式,從網路上就能購買商品且送貨到府,由此可見電子商務的興起能夠帶動市場對於物流業者的需求。而為因應市場增多的需求,隨之而來的就是第四方物流的興起。第四方物流透過擁有的資訊科技、整合能力以及其他資源提供一套完整的供應鏈解決方案。並依靠優秀的第三方物流供應商、技術供應商以及管理諮詢,為客戶提供一套獨特且廣泛的供應鏈解決方案。
然而為因應客戶對於國際物流的需求,勢必得提供客戶更高效率的物流服務與增加國內外物流據點。本研究針對一本國B2B物流公司為例,設計一套決策支援系統,透過決策支援系統的功能,幫助決策者在決定海外設點以及預測需求時,能得到更佳的決策品質。
關於系統分析與設計,本研究分為兩大部分。首先利用統一模塑語言(Unified Modeling Language, UML)分析系統內部各模組之間的關係,進而結構化決策支援系統。第二部分(決策支援系統)包含兩個模組,第一模組是利用層級分析法(Analytic Hierarchy Process)分析選擇設址地點。第二模組則利用離散事件模擬(Discrete Event Simulation)針對前模組分析出的方案,進行實際情境模擬。幫助物流公司執行決策時,能得到更佳的決策品質與方案。
With the globalization and the rapid development of Network Economy, global logistics services get unprecedented developed. In the past, people need to go to the physical store to purchase goods personally. Different from the past, we just need to surf the Internet and choose what you want. After that, the goods will be sent to where you live in few days. Thus, it shows that the market requirements of the logistics services provider are driven by the rise of e-commerce. In order to meet the market needs, forth-party logistics grows up. Forth-party logistics provide a complete solution for supply chain management with their information technology, integration capability, and other resources. Moreover, they rely on excellent third-party logistics providers, technology providers, and management consultants, to provide customers a unique and extensive supply chain solution.
However, to adapt the customer needs of global logistics, offering high-efficiency logistics services with more logistics facility locations is important. This study aims to design a decision support system for a local B2B logistics company, through the functions of decision support system, enables the enterprise to get a better decision when they decide where to increase the facility locations.
As for the system design and analysis. There are two parts in this research. First, this study takes the Unified Modeling Language (UML) to analyze the relationship among the various modules within the system, and build the framework of the decision support system. Afterward, the second part includes two modules. The first module uses analytic hierarchy process (AHP) to analyze the selection of facility location, and how to transport goods. And the second module uses discrete event simulation(DES)to simulate the real situation with the suggestions obtained from the first modules. Final enables the enterprise to get a better decision when they are making decisions.
Table of content
中文摘要 i
Abstract ii
誌謝 iv
Table of content v
List of figure vii
List of table ix
Chapter1 Introduction 1
1.1 Research background and motivation 1
1.2 Research objective 1
1.3 Research framework 3
Chapter2 Literature Review 4
2.1 Fourth Party logistics 4
2.1.1 Definition of 4PL 4
2.1.2 Discussion of 4PL 7
2.1.3 Key location factors 10
2.2 Decision support system 12
2.2.1 Brief history of Decision Support System 12
2.2.2 Definition of Decision Support System 13
2.2.3 Framework of Decision Support System 13
Chapter3 Methodology 15
3.1 Methodology framework 15
3.2 Unified Modeling Language 16
3.2.1 Class Diagram 18
3.2.2 Sequence Diagram 22
3.2.3 Activity Diagram 23
3.3 Analytic Hierarchy Process 26
3.3.1 AHP introduction 26
3.3.2 Solution process of AHP 28
3.4 Discrete Event Simulation 30
3.4.1 DES introduction 30
3.4.2 Solution process of DES 31
Chapter 4 Develop the Decision Support System 32
4.1 Analyze the framework of the decision support system 32
4.2 The location selection module design by using AHP 36
4.2.1 Questionnaire design 36
4.2.2Research steps of AHP 37
4.2.3Questionnaire result 39
4.2.4 Overall weight calculation- Case study 48
4.3 Path simulation module design by using DES 49
4.3.1 Framework of path simulation module 50
Chapter 5 Conclusion and future research 58
5.1 Conclusion 58
5.2 Scope of research and limitation 59
5.3 Future research and recommendation 60
Reference 61
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(9) Langley, C. J., van Dort, E., Ang, A., & Sykes, S. R., “Third-party logistics: results and findings of the 10th annual study.”, Atlanta, GA: Georgia Institute of Technology, 2005.
(10) Li, Ji-yong, Yun-pu Xie, and Yan-hong Zhang., “Study on evaluation model of the fourth party logistics enterprise's core competence based on information entropy of fuzzy matter-element theory.”, e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E'10. International Conference on. IEEE, 2010.
(11) Leina, Zheng, Pan Tiejun, and Yan Guoqing., “The process integration evaluation method of the fourth party logistics using fuzzy theory.”, Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on. IEEE, 2010.
(12) Magill, Peter., “Outsourcing Logistics: The Transition to 4th Party Partnerships in Europe.”, Financial Times Retail & Consumer, 2000.
(13) Mukhopadhyay, Samar K., and Robert Setaputra., “The role of 4PL as the reverse logistics integrator: Optimal pricing and return policies.”, International Journal of Physical Distribution & Logistics Management 36(9), pp. 716-729, 2006.
(14) McKenney, James L., and Morton M. Scott., “Management decision systems: computer-based support for decision making.”, Harvard Business School Press, 1984.
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(16) Opasanon, S., & Lertsanti, P.,“Impact analysis of logistics facility relocation using the analytic hierarchy process (AHP).”, International Transactions in Operational Research, 20(3), pp. 325-339, 2013.
(17) Win, Alan., “The value a 4PL provider can contribute to an organisation.”, International Journal of Physical Distribution & Logistics Management, 38(9), pp. 674-684, 2008.
(18) Xiu, Xuefang., “Study of collaborative information systems of 4PL based on Internet.”, Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on., IEEE, 2010.
(19) Yang, Jiaqin, and Huei Lee., “An AHP decision model for facility location selection.”, Facilities, 15(9)(10), pp. 241-254, 1997.
(20) Zhang, H., Li, X., Liu, W., Li, B., & Zhang, Z., “An application of the AHP in 3PL vendor selection of a 4PL system.”, Systems, Man and Cybernetics, 2004 IEEE International Conference, Vol. 2, pp. 1255-1260, 2004.
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