自1998年起美國NTC即投入經費研究奈米級纖維、奈米複材紡織品及相關的紡織助劑研究。日本將自2003年起5年投入1380億日元，研究超輕量汽車用紡織品；超吸濕、撥水運動休閒紡織品;超微細加工在聚酯及聚醯胺纖維織物之應用等；主要機能為高強度、輕量及高發色性濕度調節機能纖維與防塵維等。南韓將於未來幾年投入401億韓元研發奈米級纖維製程技術。中國大陸更是投入大量的經費研究機能性奈米級紡織品或複合機能性紡織品等。由此可見，奈米紡織產業在近年已成為全球各國產業的重要發展之一。
而奈米紡織產業在供給與需求方面具有高度的不確定性，所以在奈米紡織產業不確定性環境下發展技術和建立供應鏈之後，如何維持供應鏈的效率將會成為供應鏈成敗的主要因素，若缺乏良好的控制與反應系統，供應鏈的績效也會大打折扣，因此本研究將針對奈米紡織供應鏈中訂單需求與供給產能的不確定性情形下，架構於決策最佳投入產出數，使奈米紡織不確定性供應鏈在各種風險變動中獲得最佳利潤。本研究將利用模糊禁忌搜尋法建立一套控制系統，提供生產與配銷決策，使不確定性供應鏈在各種不同變動環境下穫得最大利潤。

Since 1998 the Unites States America developed new Nano technology about fiber many countries around the world had became to invent much money and time to produce all types of product to sell. So it could be easily seen to know that the industries of Nano-textile has become one kind of the most important development in every countries.
However, there is a high degree of uncertainty in supply of Nano-textile Industries and demand from customers. Certainly it becomes an important factor to hold the profit of supply chain in all kinds of uncertain situations in Nano-textile supply chain. The performance of a supply chain would be put down without an excellent supply chain control system. Hence, the objective of this research is to develop an uncertainly supply chain control system to fit in with Nant-textile Industries. Under all varies of uncertainty such like production, demand, research and development, and etc. the uncertainly supply chain control system could provide the manufacture and sales strategy to hold the profit of the supply chain. In this research fuzzy tabu research (FTS) is applied to help to build the uncertainty supply china control system.

中文摘要 3
英文摘要 4
致 謝 詞 5
圖目錄 8
表目錄 9
第一章 緒論 10
1.1 研究背景 10
1.1.1 世界各國奈米紡織產業概況 10
1.1.2 奈米紡織研究範疇 10
1.1.3 奈米紡織產業的不確定性 11
1.1.4 奈米紡織產業供應鏈與一般產業供應鏈比較 12
1.2 研究動機與目的 13
1.2.1 研究動機 13
1.2.2 研究目的 14
第二章 文獻探討 15
2.1 模糊理論 15
2.1.1 模糊數的運算原則 15
2.1.2 模糊化與解模糊化 (Fuzzification and Defuzzication) 16
2.2 需求不確定 18
2.3 製造及供給不確定 20
2.4 模糊禁忌搜尋法（Fuzzy Tabu Search） 21
第三章 研究方法 24
3.1 研究步驟 24
3.2 研究限制與假設 25
第四章 模式推導與系統建立 30
4.1 目標式的推導 30
4.2 模式與條件 31
4.2.1 模式一 供應鏈需求大於零售商現貨量 31
4.2.2 模式二 供應鏈零售商現貨量大於需求時 31
4.2.3 條件一 生產能力可符合需求 31
4.2.4 條件二 配送至零售點的產品量與配送至物流中心的產品量一致時 31
4.3不確定性供應鏈控制系統概念圖 32
4.4 不確定性供應鏈狀況彙整 32
4.4.1 供應鏈狀況一 33
4.4.2 供應鏈狀況二 34
4.4.3 供應鏈狀況三 35
4.4.4 供應鏈狀況四 36
4.4.5 供應鏈狀況五 37
4.4.6 供應鏈狀況六 38
4.4.7 供應鏈狀況七 39
4.4.8 供應鏈狀況八 40
第五章 參數設計與實驗分析 43
5.1 參數設計環境 43
5.2 參數分析 44
5.3 實驗結果分析 51
5.3.1 統計最佳化估計 51
5.3.2 實驗一：生產模糊範圍加大，需求、研發及配銷不變時 52
5.3.3 實驗二：配銷增加，生產、研發與需求範圍不變時 52
5.3.4 實驗三：需求模糊範圍增加，生產、研發與銷售範圍不變時 53
5.3.5 實驗四：研發費用變化，生產、需求與銷售範圍不變時 54
5.3.7 實驗六：生產、需求和配銷模糊範圍增加，研發不變時 56
5.3.9 小結 58
第六章 結論與未來研究方向 59
參考文獻 60

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