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題名 第三方國際物流商運輸資源配置模型建置之研究
A Research on Developing a Transportation Model for third-party international logistics providers作者 倪爾瑾
Ni, Erh-Chin貢獻者 林我聰
Lin, Woo-Tsong
倪爾瑾
Ni, Erh-Chin關鍵詞 物流商
運輸資源配置
運輸風險不確定性
Logistics providers
Transportation resource allocation
Uncertainty of transportation risks日期 2018 上傳時間 12-Feb-2019 15:41:46 (UTC+8) 摘要 經濟與市場全球化的發展，為快速回應市場需求，必須縮短供應鏈的規劃週期與配送時間，以達到快速交貨。本研究提出評估物流商能力做運輸資源最適分配並考量風險因素。並考量如何安排運輸資源完成訂單需求。方法參考Sheu(2006)於以下五個程序，包括：(1)訂單資料處理(2)客戶訂單分組(3)客戶訂單組排序(4)集裝箱分配(5)運輸載具分配。而不同的貨物性質在運輸時需考量運輸風險不確定性。如運輸工具的不同，在運輸時所面臨的風險不確定性就不同；而面對緊急訂單、新訂單需求時，可能導致讓物流商要調派人力或者車輛去滿足此訂單需求。因此本研究多加考量運輸資源調撥成本和運輸風險成本讓運輸資源配置模型更加完善，並協助物流商最適運輸資源配置。
With the development of economic and market globalization, in order to quickly respond to market demands, the supply chain`s planning cycle and delivery time must be shortened to achieve rapid delivery. This study proposes to assess the ability of logistics providers to optimize resource allocation and consider risk factors. How logistics providers arrange transportation resources to complete orders. This method refers to Sheu (2006) (1) order data processing (2) customer order grouping (3) customer order group ranking (4) container assignment (5) transport vehicle assignment. It is necessary to consider the uncertainty of transportation risks and the additional costs of rush orders and new orders. Therefore, this study considers more transportation resource allocation costs and transportation risk costs, makes the transportation resource allocation model more completely, and helps logistics providers to optimize the allocation of transportation resources.參考文獻 Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm`s resilience to supply chain disruptions: Scale development and empirical examination. Journal of operations management(33), pp.111-122.Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics(161),pp.54-63.Bogataj, D., & Bogataj, M. (2007). Measuring the supply chain risk and vulnerability in frequency space. International Journal of Production Economics, (108:1-2),pp.291-301.Chen, Chao Hua and Yeh, Che Cheng,(2015). Simulation Optimization Analysis of the Operational Model for B2C On-line Shopping Platform with VMI and Revenue Sharing, Journal of e-Business (17:4), pp. 459-478.Du, M., and Yi, H., (2013). Research on Multi-Objective Emergency Logistics Vehicle Routing Problem under Constraint Conditions, Journal of Industrial Engineering and Management (6:1), pp. 258.Eckerd, A., and Girth, A. M.,(2017). Designing the Buyer–Supplier Contract for Risk Management: Assessing Complexity and Mission Criticality, Journal of Supply Chain Management (53:3), pp. 60-75.Feng Cheng Min, Y. C. Y., and Lin Yi Chen.,(2007). The Impact of Collaborative Transportation Management on Supply Chain, Transportation Planning Journal (36:3), pp. 333-370.Gómez, J. C. O., Duque, D. F. M., Rivera, L., and García-Alcaraz, J. L.,(2017). Decision Support System for Operational Risk Management in Supply Chain with 3pl Providers, in Current Trends on Knowledge-Based Systems. Springer, pp. 205-222.Govindan, K., and Chaudhuri, A.,(2016). Interrelationships of Risks Faced by Third Party Logistics Service Providers: A Dematel Based Approach, Transportation Research Part E: Logistics and Transportation Review (90), pp. 177-195.Govindan, K., Khodaverdi, R., and Vafadarnikjoo, A., (2016). A Grey Dematel Approach to Develop Third-Party Logistics Provider Selection Criteria, Industrial Management & Data Systems (116:4), pp. 690-722.Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D.,(2012). Analysis of third party reverse logistics provider using interpretive structural modeling. International Journal of Production Economics(140:1),pp. 204-211.Hu, T.-L., and Sheu, J.-B., (2003). A Fuzzy-Based Customer Classification Method for Demand-Responsive Logistical Distribution Operations, Fuzzy Sets and Systems (139:2), pp. 431-450.Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, (53:16), pp.5031-5069.Huang, S., Axsäter, S., Dou, Y., & Chen, J. (2011). A real-time decision rule for an inventory system with committed service time and emergency orders. European journal of operational research, (215:1),pp. 70-79.Johansen, S. G., and Thorstenson, A., (1998). An Inventory Model with Poisson Demands and Emergency Orders, International Journal of Production Economics (56), pp. 275-289.König, A., and Spinler, S., (2016). The effect of logistics outsourcing on the supply chain vulnerability of shippers: Development of a conceptual risk management framework, The International Journal of Logistics Management(27:1), pp.122-141.Liu et al., (2011). An Emergency Order Allocation Model Based on Multi-Provider in Two-Echelon Logistics Service Supply Chain, Supply chain management: an international journal (16:6), pp. 391-400.Lam, J. S. L., and Dai, J.,(2015). Developing Supply Chain Security Design of Logistics Service Providers: An Analytical Network Process-Quality Function Deployment Approach, International Journal of Physical Distribution & Logistics Management (45:7), pp. 674-690.Larson, P. D., and Halldorsson, A., (2004). Logistics Versus Supply Chain Management: An International Survey, International Journal of Logistics: Research and Applications (7:1), pp. 17-31.Nooraie, S. V., and Parast, M. M., (2015). A Multi-Objective Approach to Supply Chain Risk Management: Integrating Visibility with Supply and Demand Risk, International Journal of Production Economics (161), pp. 192-200.Sheu, J.-B. ,(2006). A Novel Dynamic Resource Allocation Model for Demand-Responsive City Logistics Distribution Operations, Transportation Research Part E: Logistics and Transportation Review (42:6), pp. 445-472.Yu, C.-S., and Li, H.-L., (2000). A Robust Optimization Model for Stochastic Logistic Problems, International journal of production economics (64:1-3), pp. 385-397.Yang et al., (2011). Hybrid Zigbee RFID sensor network for humanitarian logistics centre management. Journal of Network and Computer Applications(34:3), pp.938-948.Zhen et al., (2014). Discussion on Key Problems and Counter Measures of Logistics Management in Construction Supply Chains, Journal of Engineering Management(28:4),pp.32-35. 描述 碩士
國立政治大學
資訊管理學系
105356007資料來源 http://thesis.lib.nccu.edu.tw/record/#G0105356007 資料類型 thesis dc.contributor.advisor 林我聰 zh_TW dc.contributor.advisor Lin, Woo-Tsong en_US dc.contributor.author (Authors) 倪爾瑾 zh_TW dc.contributor.author (Authors) Ni, Erh-Chin en_US dc.creator (作者) 倪爾瑾 zh_TW dc.creator (作者) Ni, Erh-Chin en_US dc.date (日期) 2018 en_US dc.date.accessioned 12-Feb-2019 15:41:46 (UTC+8) - dc.date.available 12-Feb-2019 15:41:46 (UTC+8) - dc.date.issued (上傳時間) 12-Feb-2019 15:41:46 (UTC+8) - dc.identifier (Other Identifiers) G0105356007 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/122258 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 105356007 zh_TW dc.description.abstract (摘要) 經濟與市場全球化的發展，為快速回應市場需求，必須縮短供應鏈的規劃週期與配送時間，以達到快速交貨。本研究提出評估物流商能力做運輸資源最適分配並考量風險因素。並考量如何安排運輸資源完成訂單需求。方法參考Sheu(2006)於以下五個程序，包括：(1)訂單資料處理(2)客戶訂單分組(3)客戶訂單組排序(4)集裝箱分配(5)運輸載具分配。而不同的貨物性質在運輸時需考量運輸風險不確定性。如運輸工具的不同，在運輸時所面臨的風險不確定性就不同；而面對緊急訂單、新訂單需求時，可能導致讓物流商要調派人力或者車輛去滿足此訂單需求。因此本研究多加考量運輸資源調撥成本和運輸風險成本讓運輸資源配置模型更加完善，並協助物流商最適運輸資源配置。 zh_TW dc.description.abstract (摘要) With the development of economic and market globalization, in order to quickly respond to market demands, the supply chain`s planning cycle and delivery time must be shortened to achieve rapid delivery. This study proposes to assess the ability of logistics providers to optimize resource allocation and consider risk factors. How logistics providers arrange transportation resources to complete orders. This method refers to Sheu (2006) (1) order data processing (2) customer order grouping (3) customer order group ranking (4) container assignment (5) transport vehicle assignment. It is necessary to consider the uncertainty of transportation risks and the additional costs of rush orders and new orders. Therefore, this study considers more transportation resource allocation costs and transportation risk costs, makes the transportation resource allocation model more completely, and helps logistics providers to optimize the allocation of transportation resources. en_US dc.description.tableofcontents 第一章 緒論 91.1 研究背景 91.2 研究動機 101.3 研究目的 111.4 研究流程 12第二章 文獻探討 142.1 物流 142.2 第三方物流商 152.3 物流風險不確定性 162.4 緊急訂單成本 182.5 物流運輸資源配置 19第三章 模型建置 243.1 模型架構 253.2 模型情境運作流程 263.2.1模型符號說明 283.2.2模型各階段說明 303.2.2.1階段1訂單資料處理 303.2.2.2階段2客戶訂單分群 313.2.2.3階段3客戶訂單排序 353.2.2.4階段4集裝箱分配 363.2.2.5階段5運輸載具分配 363.3 模型發展 373.3.1基本假設 373.3.2集裝箱分配模型 383.3.3運輸載具分配模型 403.3.4多目標優化模型說明 423.3.4.1集裝箱分配 423.3.4.2運輸載具分配 43第四章 模型範例計算與數值分析 444.1 參數設定 444.2 情境設置說明 474.3 範例說明 474.4 範例結果 484.4.1階段4集裝箱分配情境分析結果 484.4.2階段5運輸載具分配情境分析結果 514.5 數值分析 544.5.1實驗設計 554.5.2實驗結果 554.5.3結果與討論 56第五章 結論與未來建議 595.1 結論與貢獻 595.2 研究限制 605.3 未來建議 60參考文獻 61 zh_TW dc.format.extent 1497899 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0105356007 en_US dc.subject (關鍵詞) 物流商 zh_TW dc.subject (關鍵詞) 運輸資源配置 zh_TW dc.subject (關鍵詞) 運輸風險不確定性 zh_TW dc.subject (關鍵詞) Logistics providers en_US dc.subject (關鍵詞) Transportation resource allocation en_US dc.subject (關鍵詞) Uncertainty of transportation risks en_US dc.title (題名) 第三方國際物流商運輸資源配置模型建置之研究 zh_TW dc.title (題名) A Research on Developing a Transportation Model for third-party international logistics providers en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm`s resilience to supply chain disruptions: Scale development and empirical examination. Journal of operations management(33), pp.111-122.Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics(161),pp.54-63.Bogataj, D., & Bogataj, M. (2007). Measuring the supply chain risk and vulnerability in frequency space. International Journal of Production Economics, (108:1-2),pp.291-301.Chen, Chao Hua and Yeh, Che Cheng,(2015). Simulation Optimization Analysis of the Operational Model for B2C On-line Shopping Platform with VMI and Revenue Sharing, Journal of e-Business (17:4), pp. 459-478.Du, M., and Yi, H., (2013). Research on Multi-Objective Emergency Logistics Vehicle Routing Problem under Constraint Conditions, Journal of Industrial Engineering and Management (6:1), pp. 258.Eckerd, A., and Girth, A. M.,(2017). Designing the Buyer–Supplier Contract for Risk Management: Assessing Complexity and Mission Criticality, Journal of Supply Chain Management (53:3), pp. 60-75.Feng Cheng Min, Y. C. Y., and Lin Yi Chen.,(2007). The Impact of Collaborative Transportation Management on Supply Chain, Transportation Planning Journal (36:3), pp. 333-370.Gómez, J. C. O., Duque, D. F. M., Rivera, L., and García-Alcaraz, J. L.,(2017). Decision Support System for Operational Risk Management in Supply Chain with 3pl Providers, in Current Trends on Knowledge-Based Systems. Springer, pp. 205-222.Govindan, K., and Chaudhuri, A.,(2016). Interrelationships of Risks Faced by Third Party Logistics Service Providers: A Dematel Based Approach, Transportation Research Part E: Logistics and Transportation Review (90), pp. 177-195.Govindan, K., Khodaverdi, R., and Vafadarnikjoo, A., (2016). A Grey Dematel Approach to Develop Third-Party Logistics Provider Selection Criteria, Industrial Management & Data Systems (116:4), pp. 690-722.Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D.,(2012). Analysis of third party reverse logistics provider using interpretive structural modeling. International Journal of Production Economics(140:1),pp. 204-211.Hu, T.-L., and Sheu, J.-B., (2003). A Fuzzy-Based Customer Classification Method for Demand-Responsive Logistical Distribution Operations, Fuzzy Sets and Systems (139:2), pp. 431-450.Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, (53:16), pp.5031-5069.Huang, S., Axsäter, S., Dou, Y., & Chen, J. (2011). A real-time decision rule for an inventory system with committed service time and emergency orders. European journal of operational research, (215:1),pp. 70-79.Johansen, S. G., and Thorstenson, A., (1998). An Inventory Model with Poisson Demands and Emergency Orders, International Journal of Production Economics (56), pp. 275-289.König, A., and Spinler, S., (2016). The effect of logistics outsourcing on the supply chain vulnerability of shippers: Development of a conceptual risk management framework, The International Journal of Logistics Management(27:1), pp.122-141.Liu et al., (2011). An Emergency Order Allocation Model Based on Multi-Provider in Two-Echelon Logistics Service Supply Chain, Supply chain management: an international journal (16:6), pp. 391-400.Lam, J. S. L., and Dai, J.,(2015). Developing Supply Chain Security Design of Logistics Service Providers: An Analytical Network Process-Quality Function Deployment Approach, International Journal of Physical Distribution & Logistics Management (45:7), pp. 674-690.Larson, P. D., and Halldorsson, A., (2004). Logistics Versus Supply Chain Management: An International Survey, International Journal of Logistics: Research and Applications (7:1), pp. 17-31.Nooraie, S. V., and Parast, M. M., (2015). A Multi-Objective Approach to Supply Chain Risk Management: Integrating Visibility with Supply and Demand Risk, International Journal of Production Economics (161), pp. 192-200.Sheu, J.-B. ,(2006). A Novel Dynamic Resource Allocation Model for Demand-Responsive City Logistics Distribution Operations, Transportation Research Part E: Logistics and Transportation Review (42:6), pp. 445-472.Yu, C.-S., and Li, H.-L., (2000). A Robust Optimization Model for Stochastic Logistic Problems, International journal of production economics (64:1-3), pp. 385-397.Yang et al., (2011). Hybrid Zigbee RFID sensor network for humanitarian logistics centre management. Journal of Network and Computer Applications(34:3), pp.938-948.Zhen et al., (2014). Discussion on Key Problems and Counter Measures of Logistics Management in Construction Supply Chains, Journal of Engineering Management(28:4),pp.32-35. zh_TW dc.identifier.doi (DOI) 10.6814/THE.NCCU.MIS.002.2019.A05 en_US
