|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.