集配作業脆弱度與恢復力之評估模式

An Evaluation Model for the Vulnerability and Resilience of the Pickup and Delivery Operations

林政毅(Cheng-Yi Lin)

指導教授 ： 馮正民 ； 吳沛儒

國立交通大學/管理學院/管理學院運輸物流學程/碩士(2012年)

https://doi.org/10.6842/NCTU.2012.00398

摘要

有鑑於過去研究鮮少針對集配作業之脆弱度與恢復力進行評估分析。因此，本研究旨在藉由集配作業脆弱度與恢復力之綜合評估與作業流程評估，研擬集配作業之風險管理策略。首先，本研究透過文獻回顧，彙整出脆弱度因子以及恢復力策略。進而本研究針對台灣公路汽車運輸集配作業之物流業者，進行面訪式問卷調查。研究結果顯示，五大關鍵脆弱度因子依序為營運效率不佳、失去控制、組織績效不彰、薪酬制度不良、核心競爭能力衰退。在恢復力策略之評估上，則以敏捷策略為最適之恢復力策略方案。最後，本研究根據研究結果進行討論，並擬定相對應之風險管理策略。

關鍵字

集配作業 ； 脆弱度 ； 恢復力 ； 評估模式

並列摘要

Since few past studies focused on assessing and analyzing the vulnerability and resilience of the pickup and delivery operations, this study aims to devises risk management strategy for the pickup and delivery operations by a comprehensive assessment and process assessment of the vulnerability and resilience of the operations. This study starts with the generation of vulnerability factors and resilience strategies through literature review. Secondly, interview survey was conducted to the Taiwan’s highway logistics providers with the pickup and delivery operations. The results of the study have shown that the top five critical vulnerability factors are low operation efficiency, loss of control, low organizational performance, unhealthy compensation system, and recession of core competitiveness. In the assessment of resilience strategies, agile strategy is the most suitable resilience strategy. Finally, the study discusses and elaborates corresponding risk management strategies based on the results.

並列關鍵字

the Pickup and Delivery Operations ； Vulnerability ； Resilience ； Evaluation Model

參考文獻

馮正民、邱裕鈞（2004），研究分析方法，台北：建都文化事業股份有限公司。

陳妍方（2009），敏捷供應鏈之適應性配送，國立交通大學交通運輸研究所碩士論文。

Alshamrani, A., Mathur, K., & Ballou, R. H. (2007). Reverse logistics: simultaneous design of delivery routes and returns strategies. Computers & Operations Research, 34(2), 595-619.

Anbuudayasankar, S. P., Ganesh, K., Koh, S. C. L., & Ducq, Y. (2012). Modified savings heuristics and genetic algorithm for bi-objective vehicle routing problem with forced backhauls. Expert Systems with Applications, 39(3), 2296-2305.

Anbuudayasankar, S. P., Ganesh, K., Koh, S. C. L., & Mohandas, K. (2010). Unified heuristics to solve routing problem of reverse logistics in sustainable supply chain. International Journal of Systems Science, 41(3), 337-351.