台灣地區大型垃圾焚化廠營運績效之比較實驗 = A comparative...
國立高雄大學亞太工商管理學系碩士班

 

  • 台灣地區大型垃圾焚化廠營運績效之比較實驗 = A comparative Experiments of the Operational Performance of Taiwan’s Large Refuse Incinerator
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    並列題名: A comparative Experiments of the Operational Performance of Taiwan’s Large Refuse Incinerator
    作者: 陳漢州,
    其他團體作者: 國立高雄大學
    出版地: [高雄市]
    出版者: 撰者;
    出版年: 2014[民103]
    面頁冊數: 144面圖,表 : 30公分;
    標題: 大型垃圾焚化廠
    標題: Large municipal waste incineration plant
    電子資源: http://handle.ncl.edu.tw/11296/ndltd/44939144606989479712
    附註: 參考書目:面115-117
    附註: 103年12月16日公開
    摘要註: 台灣地區廢棄物處理主要以焚化為主,自1996年陸續完成焚化廠興建並投入營運,但隨著時間之經過,有些焚化廠已面臨效能衰退、利用率減少、維修保養費用增加及停機時間增加等情形,實有必要找出營運績效不佳之單位,進行效能提升與改善方案。本研究以分析層級程序法(AHP)、資料包絡分析法(DEA)兩種計量科學模式,建構一套通用且客觀之績效評估模式,探討焚化廠之營運績效。以台灣地區大型焚化廠為研究對象,蒐集2010年至2012年之營運數據,分別採用專家問卷及文獻回顧之方法選取不同組合之投入產出項,分為模式一及模式二,以AHP求得變數權重,做為資料包絡分析相對效率之先驗資訊,再以DEA之不良產出模式求得整體相對效率、差額變數、敏感度等數據評估營運效率,最後探討不同營運組合之營運效率。此外,並針對模式一與模式二在投入產出項的選擇上與績效結果的差異上進行實驗比較! 研究結果發現:模式一在變數選取為投入項3項,產出項5項;模式二則為投入項4項,產出項4項,兩者之差異在模式二加入學者專家意見納入建廠成本。由效率分析得知,模式一之平均效率0.797,而模式二之平均效率0.759,顯示資金投入影響效率之表現,且由兩種模式效率值均為1之桃園縣廠、烏日廠與永康廠,其中兩座為民有民營,亦證實民有民營焚化廠在營運計畫已將建廠成本納入,不因變數改變影響效率值,其他營運模式之效率則受成本加入影響。由差額分析比較,兩種模式均顯示多數焚化廠售電所得之不足及空污戴奧辛須再降低。在敏感度之分析,則顯示均對焚化處理量為最高,而發電量及售電所得為較低。在不同營運方式之分析,均顯示民有民營之績效較佳。因此模式一之評估方式得充份反應營運績效,而模式二強調投入產出均衡,則較適合政府機構用以衡量焚化廠興設策略評估。 Incineration is the majority mean of waste treatment in Taiwan. Incinerators were progressively built and commended operation since 1996. As time passes, facilities of some incinerators are facing issues in efficiency drop, reduced usage rate, increased maintenance cost and increased downtime. This is necessary to identify the plants that are of unsatisfactory operational performances and implement efficiency improvement plan accordingly. In this study, a general and objective performance evaluation model is established to determine the operational performance of incinerators. Two scientific calculation methods are applied in this evaluation model namely Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) . This study focuses on the large scale municipal waste incinerators in Taiwan. Actual operational data from 2010 to 2012 is collected and used in this study. Combinations of inputs and outputs are determined with reference to experts’ cognitions and literature reviews. Two combinations are set as Model 1 and Model 2. Weighting factors are determined from AHP that form the prior information of data envelopment analysis in relative efficiency. Then the bad output mode of DEA is applied to determine the overall relative efficiency, slack variable and sensitivity so as to evaluate the operational efficiency. Finally, the operational efficiencies determined with different operation combinations are reviewed. Moreover, comparison on the resulted efficiencies is made between Model 1 and Model 2 with different selections on input and output items. Conclusions from this study: From Model 1, 3 inputs are selected and 5 outputs are generated. From Model 2, 4 inputs are selected and 4 outputs are generated. The difference between the two models is that construction cost is included according to experts’ comments. The efficiency analysis results indicate that the average efficiency determined from Model 1 is 0.797 whilst from Model 2 is 0.759. That reflects the influence of efficiency when considering capital investment. Results from both Models demonstrate that Taoyuan plant, Wujih plant and Yong Kong plant have efficiency as 1. Two of the above plants are of Build-Own-Operate (BOO) mode. That proves that BOO plants have already taken into account of construction cost during operation planning and the efficiency is not affected by changes in variables. The efficiencies of other operation modes are affected by the cost. The results from slack variable analysis from both Models indicate that most plants are inadequate in sale revenue from electricity export and there is a need to reduce dioxin emission. The sensitivity analysis results indicate that the higher in incineration quantity, the lower in electricity generation and its sale revenue. Under the analysis of different operation modes, the BOO mode is getting a better performance. Hence, the results from Model 1 can properly reflect the plant operational performance. Model 2 is more emphasis in inputs and outputs which is more suitable for the Government Authorities to consider in the assessment of incinerator development strategy.
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