以DEA模型分析桃園郵局之營運績效;A Study of Evaluating the Operation Efficiency of Taoyuan post office by Using DEA Method

NCUIR > School of Management at National Central University > Executive Master of Industrial Economics > Electronic Thesis & Dissertation > Item 987654321/53252

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Title:	以DEA模型分析桃園郵局之營運績效;A Study of Evaluating the Operation Efficiency of Taoyuan post office by Using DEA Method
Authors:	盧君玫;Chun-mei Lu
Contributors:	產業經濟研究所碩士在職專班
Keywords:	DEA模型;營運績效;桃園郵局;中華郵政股份有限公司;Taoyuan Post Office;Business Operational Performance
Date:	2012-02-01
Issue Date:	2012-06-15 20:36:34 (UTC+8)
Abstract:	中華郵政股份有限公司自2003年1月1日改制公司化後，依營業規模設立了23個責任中心局，並設立台北、桃園、台中、台南、高雄共5個郵件處理中心。本文目的為探討桃園郵局所轄各支局的營運績效，使用DEA模型來分析各個支局的經營狀況，選取變數包含重要營業項目之投入及產出變數。研究發現：1、桃園郵局相對有效支局數自2008、2009、2010年呈現穩定成長狀態，且各支局營運績效顯示，規模較小的支局為相對有效支局，顯示設置在機關學校的支局有其存在的必要性。2、收寄包裹金額和收寄快捷金額這2個變數影響支局營運績效排名的變動幅度較收寄包裹件數和收寄快捷件數來的大，指出造成支局營運績效不足的因素。3、兼投性質、規模等級、位置及成立時間這4個變數與技術效率值呈現負向關係。After the corporatization of the restructuring in January 1, 2003, Chunghwa Post Co,., Ltd established 23 business central offices based on the company itself business’s scale and a total of five mail processing centers in Taipei, Taoyuan, Taichung, Tainan, Kaohsiung. This project aims to discuss the business operational performances among each sub-branches of the Taoyuan post office. And, apply the DEA model to analyze the operating conditions of each branch offices from the differentiations between the major investment items as well as the output effectiveness. Then, discover the influences of the operational performance from the changes of the output effectiveness from 2008 to 2010. The study found: firstly, the business performance of Taoyuan branch post office showing the number of stable growth relatively in year 2008, 2009 and 2010. And the smaller branches have the better performances especially the branches that located in offices and schools. This result also showed that the existence of the smaller-scale branches is necessary. Secondly, the amount of the parcel and the express delivery are the major factors that strongly effect the business operational ranking. Thirdly, characteristic、scale、location、year these four variables presents the negative relations with the technical efficiency value.
Appears in Collections:	[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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