臺灣博碩士論文加值系統

技術的進步是為了解決製造上的問題，而“工業 4.0” 一詞連動到應用精實製造與六標準差的方法問題上，工業4.0是一種新興生產技術，能激勵工廠對未來在實現生產目標上有前所未有的成長。隨著工業 4.0 的興起，機器與人之間的關聯越來越密切，但文獻很少探討到精實六標準差與工業 4.0 的資料收集分析之研究以及工業 4.0 如何應用到精實六標準差之方法論，本研究應用混合模糊方法來找出印尼關鍵的工業4.0 關鍵技術。研究將運用模糊DEMATEL法、模糊BWM法和模糊分析網路程序法，進行資料收集分析。此外，模糊分析的結果將決策哪種最能影響工業4.0技術與結合六標準差的計算，找尋最佳關鍵技術的方法。在本文實驗中最後以模糊計算分析結果，可以看出大數據、物聯網、CPS在工業4.0技術中排名最高。

Solving problems in the industry to deal with technological advances, the term "industry 4.0" has raised many questions about using Lean manufacturing and Six Sigma methodologies. Industry 4.0 is a new paradigm that can encourage an extraordinary improvement for factories in the future. With the emergence of industry 4.0, the connectivity between machines and humans is increasing. There is not much literature that discusses the integration of leanosix sigma with industry 4.0 or how industry 4.0 can support the lean six sigma methodology. Therefore, this research used a hybrid fuzzy approach to find out the most crucial 4.0 technology in Indonesia. Fuzzy-DEMATEL, Fuzzy-BWM, and Fuzzy-ANP integration will be used in this research. Furthermore, the results of fuzzy calculations will determine which 4.0 technology is the most effective that can be integrated with lean six sigma. From the results of the fuzzy integration calculation above, it is stated that Big Data, IoT, and CPS get the highest rank among other industryo4.0 technologies.

Abstract......................................................i
摘要...........................................................ii
Acknowledgments................................................iii
Table of Contents..............................................iv
List of Figures................................................vi
List of Table..................................................vii
Chapter 1 Introduction.........................................1
1.1 Profile of Study...........................................1
1.1.1 Background...............................................1
1.1.2 Problem formulation and research objectives..............2
1.1.3 Definition of Terms......................................2
1.2 Methodology................................................3
1.3 Limitations of the Study...................................4
1.4 Significance of the Study..................................4
1.5 Structure of Thesis........................................4
Chapter 2 Literature Review....................................6
2.1 Lean Six Sigma.............................................6
2.2 Industry 4.0...............................................9
2.3 Indonesia 4.0..............................................11
2.4 Lean Six Sigma and Industry 4.0............................13
2.5 Industry 4.0 technologies impacts in the manufacturing.....14
2.6 A Hybrid Fuzzy.............................................16
Chapter 3 Methodology..........................................17
3.1 Introduction...............................................17
3.2 Data Collection............................................18
3.3 A Hybrid Fuzzy.............................................20
3.3.1 Fuzzy-DEMATEL............................................21
3.3.2 Fuzzy-BWM................................................22
3.3.3 Fuzzy-ANP................................................24
Chapter 4 Results and Discussion...............................26
4.1 Introduction...............................................26
4.2 Data Collection............................................26
4.3 Computing the Weight of the Criteria.......................28
4.3.1 Fuzzy-DEMATEL Implementation.............................28
4.3.2 Fuzzy-BWM Implementation.................................33
4.3.3 Fuzzy-ANP Implementation.................................38
4.4 Integrated Industry 4.0 and Lean Six Sigma.................39
Chapter 5 Conclusion and Suggestion............................41
5.1 Conclusion.................................................41
5.2 Recommendation for Future Research.........................42
Reference......................................................43
APPENDIX 1.....................................................48

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