完整後設資料紀錄
DC 欄位語言
dc.contributor.author王文派en_US
dc.contributor.authorWen-Pai Wangen_US
dc.contributor.author許錫美en_US
dc.contributor.authorHsi-Mei Hsuen_US
dc.date.accessioned2014-12-12T02:22:20Z-
dc.date.available2014-12-12T02:22:20Z-
dc.date.issued1999en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT880031059en_US
dc.identifier.urihttp://hdl.handle.net/11536/65214-
dc.description.abstract需求不確定性、產品多樣化與交期縮短是訂單式組裝生產系統在備料管理上的主要困擾因素。管理人員一般皆以設定材料安全存量水準、調整需求預測,與規劃瓶頸機台產能水準等三種策略因應之。本文在考量缺貨損失、存貨持有與產能閒置等三項成本總合最小化之基準下,構建以需求驅動之多期、多產品線性規劃備料決策模式,提供上述三種策略的參考。然而產品生命週期有日益縮短的現象,更在不同階段呈現迥異的需求特性與成本結構,此等數量之決定著實困擾著相關的決策人員。準此,針對產品生命週期於各個階段所展現的需求與成本特性,進一步延伸前述模式之應用,使生命週期現象得以納入決策過程之考量。再者,決策者常會面臨模糊或語意不清的資訊等不確定性現象,又或因主觀判斷所產生的模糊性現象,使備料作業之管理問題在分析時更為棘手。本文即定義各成本參數值的可能性分配,從而構建一在模糊決策環境下之可能性線性規劃備料模式,協助決策者合理地調整顧客需求預測值、設定適當的材料安全存量,並適時地調節所需的產能水準,期使生產決策最適化。藉由本文的研究結果,可提供適當的資訊給生產管理部門進行零件備料決策與產能投資之參考,據以提昇作業管理的效能。zh_TW
dc.description.abstractDemand uncertainty, product proliferation and shortening due date are major ingredients that result in material requirement planning difficulties for assemble-to-order (ATO) firms. To deal with the managerial problems of these challenges, managers generally adopt three strategies that include safety stock determination, demand forecast regulation, and key machine capacity planning. Thus, this study constructs demand driven material planning models that divide into three patterns, (1) fundamental models that do not consider product life cycle; (2) product life cycle based models that take into account the demand characteristics and cost structure associated with different stages in product life cycle; (3) possibilistic linear programming models for considering decision environment with fuzzy cost parameters. According to proposed models, production managers may reasonably regulate demand forecasts, determine the suitable component safety stock levels for absorbing the uncertainty of demands, as well as support an adequate capacity for final assembly. 英文摘要…………………………………………………………………………ii 誌謝………………………………………………………………………………iii 符號一覽表………………………………………………………………………iv 目錄……………………………………………………..………………………vii 圖目錄………………………………………………………………….……...…ix 表目錄……………………………………………………..……………..………xi 第一章、緒論…………………………………………………………………….1 1.1 問題背景與動機………………………………………………………….1 1.2 研究目的…………………………………….……………………………3 1.3 論文架構……………………………………………………….…………6 第二章、文獻探討……………………………………………………………….8 2.1 需求預測技術之相關研究……………………………………………….8 2.2 產品生命週期之相關研究……………………………………………..12 2.3 產能規劃之相關研究…………………………………………………..14 2.4 安全存量之相關研究…………………………………………………..15 2.5 可能性規劃之相關研究………………………………………………..19 2.6 文獻回顧結語…………………………………………………………..20 第三章、調整需求預測、訂定安全存量、設定產能水準之備料決策模式…..…….22 3.1 生產系統運作流程描述………………………………………….…….22 3.2 模式構建之相關基本假設……………………………………………..23 3.3 決定關鍵機台數量之模式(A1)構建……………………………………26 3.3.1 目標函數說明…………………………………………..………..27 3.3.2 限制式說明………………………………………………….…..28 3.3.3 範例說明………………………………………….……….……..29 3.4 決定安全存量與關鍵機台數量之模式(A2)構建…….………………..31 3.5 調整需求預測、決定安全存量與關鍵機台數量之模式(A3)構建.….…33 3.6 結果分析…………………………………………………………….….35 第四章、產品生命週期為基之備料決策模式…..…………………………….39 4.1 問題定義與分析………………………………………………….…….39 4.2 決定瓶頸機台數量之模式(B1)構建…………………………………...39 4.3 決定安全存量與關鍵機台數量之模式(B2)構建…….………………..42 4.4 調整需求預測、決定安全存量與關鍵機台數量之模式(B3)構建.…….44 4.5 結果分析…………………………………………………………….….46 第五章、可能性規劃備料決策模式……………………………………..…….51 5.1 模糊決策環境描述……………………………………………………..51 5.2 決定瓶頸機台數量之模式(C1)構建……………………………………51 5.2.1 可能性線性規劃求解方法……………………………………....53 5.2.2 範例說明………………………………………………………....56 5.3 決定安全存量與關鍵機台數量之模式(C2)構建…….………………..58 5.4 調整需求預測、決定安全存量與關鍵機台數量之模式(C3)構建.…….60 5.5 結果分析…………..……………………………………………………63 第六章、結論與未來展望……………………………………………….……..64 6.1 結論………………………………………………………….………….64 6.2 未來展望暨後續研究…………………………………………………..65 參考文獻……………………………………………………………………..…67en_US
dc.language.isozh_TWen_US
dc.subject訂單式組裝zh_TW
dc.subject需求預測zh_TW
dc.subject安全存量zh_TW
dc.subject產能調節zh_TW
dc.subject產品生命週期zh_TW
dc.subject可能性線性規劃zh_TW
dc.subjectAssemble-to-Orderen_US
dc.subjectForecastingen_US
dc.subjectSafety Stocken_US
dc.subjectCapacity Adjustment;en_US
dc.subjectProduct Life Cycleen_US
dc.subjectPossibility Linear Programmingen_US
dc.title安全存量設定、預測調整與產能規劃之決策模式zh_TW
dc.titleDetermining Safety Stocks, Regulating Forecasts, and Capacity Planning in ATO Environmentsen_US
dc.typeThesisen_US
dc.contributor.department工業工程與管理學系zh_TW
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