Modeling Resilience Enhancement Strategies for International Express Industries

碩士 === 國立交通大學 === 交通運輸研究所 === 100 ===   There has been a general awareness that natural and man-made disasters may occur suddenly. When disruptions occur, the previously operational plans may become far from optimal or even infeasible, and means are needed for adjusting or re-optimizing the original...

Full description

Bibliographic Details
Main Authors: Tsai, Ya-Hsuan, 蔡亞璇
Other Authors: Feng, Cheng-Min
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/29788422490699488773
id ndltd-TW-100NCTU5118127
record_format oai_dc
spelling ndltd-TW-100NCTU51181272016-03-28T04:20:36Z http://ndltd.ncl.edu.tw/handle/29788422490699488773 Modeling Resilience Enhancement Strategies for International Express Industries 提升國際快遞業回復力之策略模式 Tsai, Ya-Hsuan 蔡亞璇 碩士 國立交通大學 交通運輸研究所 100   There has been a general awareness that natural and man-made disasters may occur suddenly. When disruptions occur, the previously operational plans may become far from optimal or even infeasible, and means are needed for adjusting or re-optimizing the original plan to adapt the changing environment and to get back on track in a timely manner while effectively using the available resources.   International express is one most time-sensitive industry, which may need to respond disruptions quickly so as to improve service quality and to avoid losing their competitiveness with other express service providers. Instead of arbitrarily making rush decisions during the post-disruption phase, this paper contributes a method for quantifying and optimizing the resilience strategies based on an integrated resource assignment concept, regardless of how the available resources are located with respect to the studied logistics network or how many capacities we can rent from others.   The studied problem is formulated as a multi-hubs, multi-modes, multi-carriers, and multi-commodities network problem. The analytical model is developed for determining the alternative routes and rent activities (including the mode choice and carrier selection) after the disruption occurs. It also takes into account nonlinear cargo value functions of time to reflect the feature of the express industry that allows company transport different types of cargo with different ways to achieve higher customers’ satisfaction. Numerical experiments are conducted to examine our model applied in more complex networks and real world cases. Through a series of sensitivity analysis, some managerial implications are suggested to decision makers and potential stakeholders. Feng, Cheng-Min Chen, Cheng-Chieh 馮正民 陳正杰 2012 學位論文 ; thesis 119 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 交通運輸研究所 === 100 ===   There has been a general awareness that natural and man-made disasters may occur suddenly. When disruptions occur, the previously operational plans may become far from optimal or even infeasible, and means are needed for adjusting or re-optimizing the original plan to adapt the changing environment and to get back on track in a timely manner while effectively using the available resources.   International express is one most time-sensitive industry, which may need to respond disruptions quickly so as to improve service quality and to avoid losing their competitiveness with other express service providers. Instead of arbitrarily making rush decisions during the post-disruption phase, this paper contributes a method for quantifying and optimizing the resilience strategies based on an integrated resource assignment concept, regardless of how the available resources are located with respect to the studied logistics network or how many capacities we can rent from others.   The studied problem is formulated as a multi-hubs, multi-modes, multi-carriers, and multi-commodities network problem. The analytical model is developed for determining the alternative routes and rent activities (including the mode choice and carrier selection) after the disruption occurs. It also takes into account nonlinear cargo value functions of time to reflect the feature of the express industry that allows company transport different types of cargo with different ways to achieve higher customers’ satisfaction. Numerical experiments are conducted to examine our model applied in more complex networks and real world cases. Through a series of sensitivity analysis, some managerial implications are suggested to decision makers and potential stakeholders.
author2 Feng, Cheng-Min
author_facet Feng, Cheng-Min
Tsai, Ya-Hsuan
蔡亞璇
author Tsai, Ya-Hsuan
蔡亞璇
spellingShingle Tsai, Ya-Hsuan
蔡亞璇
Modeling Resilience Enhancement Strategies for International Express Industries
author_sort Tsai, Ya-Hsuan
title Modeling Resilience Enhancement Strategies for International Express Industries
title_short Modeling Resilience Enhancement Strategies for International Express Industries
title_full Modeling Resilience Enhancement Strategies for International Express Industries
title_fullStr Modeling Resilience Enhancement Strategies for International Express Industries
title_full_unstemmed Modeling Resilience Enhancement Strategies for International Express Industries
title_sort modeling resilience enhancement strategies for international express industries
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/29788422490699488773
work_keys_str_mv AT tsaiyahsuan modelingresilienceenhancementstrategiesforinternationalexpressindustries
AT càiyàxuán modelingresilienceenhancementstrategiesforinternationalexpressindustries
AT tsaiyahsuan tíshēngguójìkuàidìyèhuífùlìzhīcèlüèmóshì
AT càiyàxuán tíshēngguójìkuàidìyèhuífùlìzhīcèlüèmóshì
_version_ 1718212692643151872