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研究生:何俊霖
研究生(外文):Chun-LinHo
論文名稱:應用二階段方法於模糊環境下之區位分派問題
論文名稱(外文):A two-step approach for location allocation problems under an uncertainty environment
指導教授:陳梁軒陳梁軒引用關係
指導教授(外文):Liang-Hsuan Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工業與資訊管理學系碩博士班
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:76
中文關鍵詞:區位─分派問題區位選擇模糊多準則決策模糊集合理論模糊目標規劃
外文關鍵詞:Facility location allocationLocation selectionFuzzy multiple criteria decision makingFuzzy theoryFuzzy goal programming
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在工廠區位─分派(Facility Location Allocation;FLA)問題中,由於涉及的準則或因子非常多,包含如環境因素、政治因素等的定性因子及設置成本、交通成本等的定量因子,決策者在評估時需要考慮多個準則,此即為多準則決策(Multiple Criteria Decision Making;MCDM),根據學者應用方式的不同,可將其分為多屬性決策(Multiple Attribute Decision Making;MADM)及多目標決策(Multiple Objective Decision Making;MODM)。由於處理定性準則時存在主觀想法,明確評估值無法完整表達專家意見,因此,本研究欲建構一模式,在模糊環境下,以模糊語意處理多準則決策問題。
本研究模式分為準備階段、第一階段及第二階段,在準備階段,專家選定評估之方案及影響準則,並將準則分為定性準則及定量準則以為後續使用,第一階段為定性準則的處理,專家對各方案之定性準則作語意評估,並應用模糊多屬性決策方法求得各方案的評估值,第二階段為多目標模式的建構,將各方案的評估值與定量準則作為目標式加入模式,接著利用模糊目標規劃優先加法模式及考慮目標間存在模糊關係之優先加法模式計算應設置工廠之數量、地點及配銷給需求點之需求量,並探討兩種求解方法產生的結果並分析,希望透過此模型的建立能幫助決策者在面臨區位分派決策時提供決策上的參考。
Facility Location Allocation (FLA) problems involve many qualitative factors like environment, political and quantitative factors such as setup and transportation costs. In order to deal with this problem, decision makers can consider many different criteria using an approach called Multiple Criteria Decision Making (MCDM). According to different application methods for scholars, MCDM can be divided into Multiple Attribute Decision Making (MADM) and Multiple Objective Decision Making (MODM). In addition, when decision makers deal with qualitative criteria, subjective opinions often exist, and crisp value cannot express expert opinions completely. Thus, this study builds a model in a fuzzy environment that will handle the MCDM problem with fuzzy linguistic variables.
The proposed model includes a preparation state, a first state and a second state. In the preparation state, experts identify criteria and alternatives and then divide the criteria into qualitative criteria and quantitative criteria. The purpose of the first state is to deal with the qualitative criteria. In this state, the experts give performance ratings to alternatives using linguistic variables and then apply Fuzzy MADM to obtain an assessment of each alternative. In the second state, we build a multi-objective model using fuzzy goal programming that takes into consideration the fuzzy relation and priorities among objectives, and then we determine the number and locations of facilities as well as the demand. We subsequently compare and analyze the results between two methodologies, suggesting that the model can be applied to solve the FLA problem and give suggestions to decision makers.
目 錄
摘要 I
表目錄 IV
圖目錄 VI
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究限制 3
第四節 研究流程 3
第五節 論文架構 5
第二章 文獻探討 6
第一節 工廠區位─分派問題 6
第二節 模糊集合理論 12
第三節 模糊多準則決策 15
第四節 模糊目標規劃 19
第五節 小結 22
第三章 模式建構 23
第一節 研究架構 23
第二節 模式建構與求解 26
第三節 小節 44
第四章 模式應用 45
第一節 區位分派模式之演算分析 45
第二節 數值分析 61
第三節 小結 71
第五章 結論與未來研究方向 72
第一節 研究成果 72
第二節 未來研究 73
參考文獻 74
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