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題名 運輸管理系統(SaaS-TMS)結合車聯網應用之設計發展研究–以E公司為例
Design and Development Study of Transportation Management System (SaaS-TMS) Integrated with IoV Applications - A Case Study of E Company
作者 李羿霈
Lee, Yi-Pei
貢獻者 洪為璽
Hung, Wei-Hsi
李羿霈
Lee, Yi-Pei
關鍵詞 車聯網
運輸管理系統
設計科學研究
平台系統
軟體即服務
IoV
TMS
Design Science Research Methodology
Platform System
SaaS
日期 2023
上傳時間 6-Jul-2023 16:27:22 (UTC+8)
摘要 從台灣中小型貨運流通服務業的現況和挑戰來看，消費者對物流配送的要求越來越高，因此，貨運流通服務業者需要投資和改善自身的運輸網絡、配送系統和車隊設備，並開發更多的創新解決方案，如物聯網技術、自動化物流配送系統等，以提高效率和精確度。E公司以車聯網設備回傳訊號，追蹤車輛狀況資訊系統服務為主要業務，深耕多年，已成為提供運輸管理系統的佼佼者。本研究動機在於，探討如何以E公司的優勢和客戶需求，提供完善的資訊系統服務解決方案，應對貨運流通服務業面臨的挑戰，並以E公司的客戶為對象，探討如何以SaaS為系統基礎架構，建構滿足客群服務目標的運輸管理解決方案，以提供更完善的物流運輸系統服務。
本研究針對個案E公司現有客戶群進行分析，並綜合評估整合車聯網、雲端服務及運輸管理系統之平台架構，以設計科學為主要探索、分析與設計方法學，歸納出以下主要研究成果：一是設計彈性的SaaS-TMS系統架構，並結合車聯網回傳資訊，強化企業管理運輸過程之通用性與可視性。此外，考量國內運輸行業的特性，本研究以SaaS服務架構為基礎，設計了平台結合車聯網資訊及運輸管理系統(TMS)，並設計了可通用之功能模組及對應界面設計，適用於不同運輸類型業者，有助於業者掌控運輸過程。其次是詳述了運輸業態情境與流程，使方法論易於應用發展SaaS-TMS系統。本研究最後透過系統解析模組與對應系統界面前後台設定的詳細規劃與說明，展示了系統規劃，與實作系統的風險降低。
The current situation and challenges faced by small and medium-sized freight and logistics service providers in Taiwan are driven by increasing consumer demand for efficient and reliable logistics services. To meet these demands, those providers need to invest in and improve their transportation networks, distribution systems, and fleet equipment, as well as develop more innovative solutions, such as IoT technologies and automated logistics systems to increase efficiency and accuracy. E Company, with its main business in vehicle tracking and monitoring using IoT devices, has been deeply involved in this industry for many years and has become a leader in providing transportation management systems. The motivation behind this study is to explore how to leverage the strengths of E Company and meet the needs of its customers by providing comprehensive information system services and solutions to address the challenges faced by the freight and logistics industry. Specifically, this study focuses on E Company`s customers and investigates how to build a transportation management solution based on the SaaS system infrastructure that meets their service goals, in order to provide more comprehensive logistics and transportation system services.
This study evaluates E Company`s customer base and platform architecture, combining IoV, cloud services, and TMS. The main results include demonstrating a flexible SaaS-TMS system with IoV feedback for better management in transportation processes. The study also provides detailed descriptions of transportation scenarios and designs functional modules and interfaces for different transportation providers. The demonstration also provides detailed planning and explanation about reduced implementation risk.
參考文獻 1. Internet of Vehicle崛起中的車聯網，大視野，2011年。
2. 中國車聯網產業技術白皮書，中國車聯網產業技術創新戰略聯盟，2011年。
3. 交通部公路總局 統計查詢網https://stat.thb.gov.tw/hb01/webMain.aspx?sys=100&funid=31300
4. 杭州市車聯網產業基地發展芻議，台灣世曦工程顧問股份有限公司，2014年。
5. 昆山市車聯網發展芻議，台灣世曦工程顧問股份有限公司，2013年。
6. 車聯網決戰第四屏，車雲網，2014 年。
7. 車聯網與智能交通系統的全球性轉變，科技商情，2011年。
8. Cheng, L., Zhang, S., & Zhu, J. (2020). An optimization model of transportation management system for cold chain logistics. Journal of Intelligent & Fuzzy Systems, 38(5), 5755-5764.
9. Dong Yan, Liu Hongbo (2017) "A Review of Transportation Management System and Its Application in the Logistics Industry"
10. Feng, W., & Wang, H. (2021). Research on transportation management system based on B/S architecture. Journal of Physics: Conference Series, 1854(1), 012156.
11. Gai, K., Qiu, L., Sun, Y., & Liu, Y. (2019). The economic effects of SaaS adoption for small and medium-sized enterprises. Journal of Business Research, 101, 270-280.
12. Gartner, "Market Trends: SaaS`s Varied Deployment Models Expand Its Use Cases," 2021.,
13. Kagan, B. (2020). The evolution of SaaS: From delivery to business intelligence. Journal of Information Technology Management, 31(4), 40-53.
14. Kim, S. H., & Kim, S. M. (2015). Development of transportation management system based on fuzzy logic for logistics services. International Journal of Control and Automation, 8(4), 67-78.
15. Mao, J., & Lin, Y. (2019). AI technologies in vehicular networks: A survey. IEEE Communications Surveys & Tutorials, 21(3), 2700-2731.
16. Mukherjee, S., & Saha, B. (2020). SaaS adoption in organizations: A literature review and research agenda. Journal of Enterprise Information Management, 33(2), 325-354.
17. Nunamaker, J. F., Chen, M., & Purdin, T. D. (1991). Systems development in information systems research. Journal of management information systems, 7(3), 89-106.
18. Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45-77.
19. Richardson, J. T. (1995). Transportation Management Systems. International Journal of Logistics Management, 6(2), 13-22.
20. Singh, P., & Dhami, N. S. (2020). Routing optimization in urban freight transportation: a review of techniques for minimizing environmental impacts. Journal of Cleaner Production, 248, 119274.
21. Walls, J. G., Widmeyer, G. R., & El Sawy, O. A. (1992). Building an information system design theory for vigilant EIS. Information systems research, 3(1), 36-59.
22. Xu, W., Liang, X., Wu, D., & Chen, J. (2015). A survey on vehicular networks. IEEE Communications Magazine, 53(12), 36-43.
23. Yang, X., Zhang, Y., & Gao, S. (2019). A vehicle routing optimization model based on hybrid genetic algorithm and ant colony algorithm considering carbon emissions. Journal of Cleaner Production, 210, 647-656.
24. Zhang, H., Wang, H., & Liu, Y. (2019). A survey on vehicular networks and vehicular clouds. IEEE Transactions on Vehicular Technology, 68(7), 7106-7119.
25. Zhang, Y., Zhou, J., Li, Y., & Li, Q. (2021). A Review of Autonomous Driving Technologies Based on the Internet of Vehicles. Sensors, 21(3), 732.
26. Zhang, X., Hu, M., Lu, L., & Huang, Y. (2019). The effect of real-time feedback on driving performance and fuel consumption: A study of urban bus drivers. Transportation Research Part D: Transport and Environment, 67, 685-697.
27. Zhou, J., Cui, J., & Wang, H. (2019). Internet of vehicles: Architecture, protocols, and security. Journal of Network and Computer Applications, 126, 34-50.
描述 碩士
國立政治大學
經營管理碩士學程(EMBA)
110932099
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110932099
資料類型 thesis
dc.contributor.advisor 洪為璽zh_TW
dc.contributor.advisor Hung, Wei-Hsien_US
dc.contributor.author (Authors) 李羿霈zh_TW
dc.contributor.author (Authors) Lee, Yi-Peien_US
dc.creator (作者) 李羿霈zh_TW
dc.creator (作者) Lee, Yi-Peien_US
dc.date (日期) 2023en_US
dc.date.accessioned 6-Jul-2023 16:27:22 (UTC+8)-
dc.date.available 6-Jul-2023 16:27:22 (UTC+8)-
dc.date.issued (上傳時間) 6-Jul-2023 16:27:22 (UTC+8)-
dc.identifier (Other Identifiers) G0110932099en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/145768-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經營管理碩士學程(EMBA)zh_TW
dc.description (描述) 110932099zh_TW
dc.description.abstract (摘要) 從台灣中小型貨運流通服務業的現況和挑戰來看，消費者對物流配送的要求越來越高，因此，貨運流通服務業者需要投資和改善自身的運輸網絡、配送系統和車隊設備，並開發更多的創新解決方案，如物聯網技術、自動化物流配送系統等，以提高效率和精確度。E公司以車聯網設備回傳訊號，追蹤車輛狀況資訊系統服務為主要業務，深耕多年，已成為提供運輸管理系統的佼佼者。本研究動機在於，探討如何以E公司的優勢和客戶需求，提供完善的資訊系統服務解決方案，應對貨運流通服務業面臨的挑戰，並以E公司的客戶為對象，探討如何以SaaS為系統基礎架構，建構滿足客群服務目標的運輸管理解決方案，以提供更完善的物流運輸系統服務。
本研究針對個案E公司現有客戶群進行分析，並綜合評估整合車聯網、雲端服務及運輸管理系統之平台架構，以設計科學為主要探索、分析與設計方法學，歸納出以下主要研究成果：一是設計彈性的SaaS-TMS系統架構，並結合車聯網回傳資訊，強化企業管理運輸過程之通用性與可視性。此外，考量國內運輸行業的特性，本研究以SaaS服務架構為基礎，設計了平台結合車聯網資訊及運輸管理系統(TMS)，並設計了可通用之功能模組及對應界面設計，適用於不同運輸類型業者，有助於業者掌控運輸過程。其次是詳述了運輸業態情境與流程，使方法論易於應用發展SaaS-TMS系統。本研究最後透過系統解析模組與對應系統界面前後台設定的詳細規劃與說明，展示了系統規劃，與實作系統的風險降低。		zh_TW
dc.description.abstract (摘要) The current situation and challenges faced by small and medium-sized freight and logistics service providers in Taiwan are driven by increasing consumer demand for efficient and reliable logistics services. To meet these demands, those providers need to invest in and improve their transportation networks, distribution systems, and fleet equipment, as well as develop more innovative solutions, such as IoT technologies and automated logistics systems to increase efficiency and accuracy. E Company, with its main business in vehicle tracking and monitoring using IoT devices, has been deeply involved in this industry for many years and has become a leader in providing transportation management systems. The motivation behind this study is to explore how to leverage the strengths of E Company and meet the needs of its customers by providing comprehensive information system services and solutions to address the challenges faced by the freight and logistics industry. Specifically, this study focuses on E Company`s customers and investigates how to build a transportation management solution based on the SaaS system infrastructure that meets their service goals, in order to provide more comprehensive logistics and transportation system services.
This study evaluates E Company`s customer base and platform architecture, combining IoV, cloud services, and TMS. The main results include demonstrating a flexible SaaS-TMS system with IoV feedback for better management in transportation processes. The study also provides detailed descriptions of transportation scenarios and designs functional modules and interfaces for different transportation providers. The demonstration also provides detailed planning and explanation about reduced implementation risk.		en_US
dc.description.tableofcontents 摘要 I
Abstract II
目錄 III
表目錄 IV
圖目錄 V
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與範圍 2
第二章 文獻探討 3
第一節 車聯網系統發展現況 3
第二節 運輸管理系統(TMS)發展現況 5
第三節 SaaS系統發展現況 6
第三章 研究方法 8
第一節 研究方法 8
第二節 研究流程 9
第四章 研究分析與結果 13
第一節 說明問題與動機 13
第二節 定義目標與解決方案 15
第三節 設計與發展解決方案 16
第四節 解決方案展示 20
第五節 系統評估 40
第五章 結論與建議 47
第一節 研究結論 47
第二節 學術意涵 47
第三節 實務意涵 48
第四節 研究限制與後續研究方向 48
參考文獻 50		zh_TW
dc.format.extent 3523304 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110932099en_US
dc.subject (關鍵詞) 車聯網zh_TW
dc.subject (關鍵詞) 運輸管理系統zh_TW
dc.subject (關鍵詞) 設計科學研究zh_TW
dc.subject (關鍵詞) 平台系統zh_TW
dc.subject (關鍵詞) 軟體即服務zh_TW
dc.subject (關鍵詞) IoVen_US
dc.subject (關鍵詞) TMSen_US
dc.subject (關鍵詞) Design Science Research Methodologyen_US
dc.subject (關鍵詞) Platform Systemen_US
dc.subject (關鍵詞) SaaSen_US
dc.title (題名) 運輸管理系統(SaaS-TMS)結合車聯網應用之設計發展研究–以E公司為例zh_TW
dc.title (題名) Design and Development Study of Transportation Management System (SaaS-TMS) Integrated with IoV Applications - A Case Study of E Companyen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 1. Internet of Vehicle崛起中的車聯網，大視野，2011年。
2. 中國車聯網產業技術白皮書，中國車聯網產業技術創新戰略聯盟，2011年。
3. 交通部公路總局 統計查詢網https://stat.thb.gov.tw/hb01/webMain.aspx?sys=100&funid=31300
4. 杭州市車聯網產業基地發展芻議，台灣世曦工程顧問股份有限公司，2014年。
5. 昆山市車聯網發展芻議，台灣世曦工程顧問股份有限公司，2013年。
6. 車聯網決戰第四屏，車雲網，2014 年。
7. 車聯網與智能交通系統的全球性轉變，科技商情，2011年。
8. Cheng, L., Zhang, S., & Zhu, J. (2020). An optimization model of transportation management system for cold chain logistics. Journal of Intelligent & Fuzzy Systems, 38(5), 5755-5764.
9. Dong Yan, Liu Hongbo (2017) "A Review of Transportation Management System and Its Application in the Logistics Industry"
10. Feng, W., & Wang, H. (2021). Research on transportation management system based on B/S architecture. Journal of Physics: Conference Series, 1854(1), 012156.
11. Gai, K., Qiu, L., Sun, Y., & Liu, Y. (2019). The economic effects of SaaS adoption for small and medium-sized enterprises. Journal of Business Research, 101, 270-280.
12. Gartner, "Market Trends: SaaS`s Varied Deployment Models Expand Its Use Cases," 2021.,
13. Kagan, B. (2020). The evolution of SaaS: From delivery to business intelligence. Journal of Information Technology Management, 31(4), 40-53.
14. Kim, S. H., & Kim, S. M. (2015). Development of transportation management system based on fuzzy logic for logistics services. International Journal of Control and Automation, 8(4), 67-78.
15. Mao, J., & Lin, Y. (2019). AI technologies in vehicular networks: A survey. IEEE Communications Surveys & Tutorials, 21(3), 2700-2731.
16. Mukherjee, S., & Saha, B. (2020). SaaS adoption in organizations: A literature review and research agenda. Journal of Enterprise Information Management, 33(2), 325-354.
17. Nunamaker, J. F., Chen, M., & Purdin, T. D. (1991). Systems development in information systems research. Journal of management information systems, 7(3), 89-106.
18. Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45-77.
19. Richardson, J. T. (1995). Transportation Management Systems. International Journal of Logistics Management, 6(2), 13-22.
20. Singh, P., & Dhami, N. S. (2020). Routing optimization in urban freight transportation: a review of techniques for minimizing environmental impacts. Journal of Cleaner Production, 248, 119274.
21. Walls, J. G., Widmeyer, G. R., & El Sawy, O. A. (1992). Building an information system design theory for vigilant EIS. Information systems research, 3(1), 36-59.
22. Xu, W., Liang, X., Wu, D., & Chen, J. (2015). A survey on vehicular networks. IEEE Communications Magazine, 53(12), 36-43.
23. Yang, X., Zhang, Y., & Gao, S. (2019). A vehicle routing optimization model based on hybrid genetic algorithm and ant colony algorithm considering carbon emissions. Journal of Cleaner Production, 210, 647-656.
24. Zhang, H., Wang, H., & Liu, Y. (2019). A survey on vehicular networks and vehicular clouds. IEEE Transactions on Vehicular Technology, 68(7), 7106-7119.
25. Zhang, Y., Zhou, J., Li, Y., & Li, Q. (2021). A Review of Autonomous Driving Technologies Based on the Internet of Vehicles. Sensors, 21(3), 732.
26. Zhang, X., Hu, M., Lu, L., & Huang, Y. (2019). The effect of real-time feedback on driving performance and fuel consumption: A study of urban bus drivers. Transportation Research Part D: Transport and Environment, 67, 685-697.
27. Zhou, J., Cui, J., & Wang, H. (2019). Internet of vehicles: Architecture, protocols, and security. Journal of Network and Computer Applications, 126, 34-50.		zh_TW