Site selection for an airport cargo logistics center

博士 === 國立臺灣海洋大學 === 航運管理學系 === 100 === Abstract The selection of an airport cargo logistics center’s location (ACLCLS) is a long-term strategic decision that is important to the operation and development of an airport’s ground handling service (AGHS) company. The ACLCLS decision must satisfy m...

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Bibliographic Details
Main Authors: Chang-Shu Tu, 杜長樹
Other Authors: Ching-Ter Chang
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/43848469095526418913
Description
Summary:博士 === 國立臺灣海洋大學 === 航運管理學系 === 100 === Abstract The selection of an airport cargo logistics center’s location (ACLCLS) is a long-term strategic decision that is important to the operation and development of an airport’s ground handling service (AGHS) company. The ACLCLS decision must satisfy multiple objectives. This thesis describes how a quality function deployment (QFD) team can apply their professional experiences to facilitate an AGHS company’s ACLCLS. First, we applied the analytic hierarchy process with a quality function deployment (AHP-QFD) conceptual model to make a decision that satisfied the real requirements of the AGHS company. Next, we applied a zero-one goal programming (ZOGP) binary model and a multi-choice goal programming (MCGP) model to address the problem of limited budget allocation. Finally, we compared the results of the AHP-QFD model by applying a simple involvement cost-factor measure (ICFM) model from an economic perspective. The purpose of this thesis is to show the effectiveness of the proposed real dynamic scenario cases to problem such how many employees to hire, how to serve passengers and maintain the cargo capacity within the allocated budget and how to select the location of an airport cargo logistics center given a real world, limited budget. We also use the real case example of an AGHS company in Taiwan to demonstrate the proposed approach. Key words: site selection decisions; analytic hierarchy process; quality function deployment; zero-one goal programming; multi-choice goal programming; involvement of cost-factor measure model