研究生: |
陳軒甫 Chen, Hsuan-Fu |
---|---|
論文名稱: |
工業 4.0 實踐模式之探討-以食品業為例 An Investigation on the Practice Model of Industry 4.0 –Taking Food Industry as an Example |
指導教授: |
吳建瑋
Wu, Chien-Wei |
口試委員: |
王姿惠
Wang, Tzu-Hui 劉時玟 Liu, Shih-Wen |
學位類別: |
碩士 Master |
系所名稱: |
教務處 - 智慧製造跨院高階主管碩士在職學位學程 AIMS Fellows |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 中文 |
論文頁數: | 108 |
中文關鍵詞: | 工業4.0 、成熟度模型 、品質改善歷程法 、智慧製造 、數位轉型 、食品業 |
外文關鍵詞: | Industry 4.0, Industry 4.0 Maturity Model, QC Story, Smart Manufacturing,, Digital Transformation, Food Industry |
相關次數: | 點閱:2 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
工業4.0自2011年被提出後,世界強權積極投入軟硬體資源,期能在智慧製造領域獨占鰲頭,德國、美國、日本、中國都將其列為國家級的戰略重點。有鑑於前三次工業革命帶來的衝擊,台灣亦提出生產力4.0積極推動企業轉型、培育軟硬體人才、提升企業靈活度,以因應國際趨勢之變化。近年新冠肺炎疫情衝擊全球,斷鏈危機下已有許多台灣電子製造領域的企業透過工業4.0的導入提升了在市場的競爭力,此時導入工業4.0正是台灣企業轉型的契機。
國內許多傳統產業或中小企業雖有導入意願,卻對工業4.0的實踐模式缺乏方向,未先明確企業工業4.0目標與評估技術現況,便投入昂貴的資訊系統或機械設備,導致效益不彰。以食品業為例,近年全球食品業科技應用比重攀升,更是台灣製造業重點輔導產業,國內食品業卻未有成熟的工業4.0產業生態系。以台灣物聯網、大數據、人工智慧有相對全球成熟的環境,若有一套工業4.0實踐模式可提供企業明確步驟,釐清企業工業4.0目標與評估效益,將可提高企業導入意願,持續建立企業最佳的導入模式,提升台灣食品業在國際市場的競爭力。
本研究參考工業4.0實證研究、成熟度模型與品質改善歷程之文獻,先依產業特性設定重點之技術應用項目;其次透過與企業溝通工業4.0的概念與維度,釐清企業導入之動機,並透過技術應用維度評估企業工業4.0之成熟度,藉由與目標之望差,協助企業選定主題;主題確認後,採用課題達成型品質改善歷程法的方法論,藉由八大步驟的導入過程與工業4.0概念之結合,以個案研究的方式,探討台灣食品業導入工業4.0之實踐模式,使有意朝工業4.0發展之企業可依明確步驟,縮短尋找企業最適策略的時間,並持續累積案例供後續企業使用。
本研究以食品業為例進行實證,依個案需求選定食品安全透明化、生產製造數位化、營運管理智能化三個主題作為短期目標,透過自評與結構化步驟,在智慧服務、智慧機械、智慧生產維度,達到縮短問題食品追溯時間、提升生產效率、降低庫存成本等效益。
本研究之成果,期望協助後續企業在評估導入工業4.0時,可避免投入資源之錯置,提升導入之效益,並持續累積執行成果案例,供後續探討與研究。以個案為例,選定之主題仍有許多項目可持續改善,後續需不斷滾動式調整企業工業4.0的長期路徑,藉由短期目標達成與長期策略調整的不斷循環,持續改善組織文化、提升企業數位化管理能力與數位化工程能力,逐步實踐工業4.0。
Since Industry 4.0 was proposed in 2011, the leading countries in the development of the manufacturing industry, including Germany, the United States, Japan, and China, have actively invested in software and hardware resources, hoping to take the lead in the field of smart manufacturing, and have listed Industry 4.0 as a important strategic goals at the national level. In view of the impact brought by the industrial revolution in the past, the Taiwan government also proposed the Productivity 4.0 policy to actively promote the digital transformation of enterprises, cultivate software and hardware talents, and enhance the flexibility of enterprises in order to respond to changes in international trends. In recent years, the COVID-19 epidemic has affected the development of the global manufacturing industry. Many Taiwanese electronics manufacturing industries have improved their competitiveness in the market through the introduction of Industry 4.0 in this supply chain crisis. At this time, the introduction of Industry 4.0 is an opportunity for Taiwanese enterprises to transform.
Although many traditional industries or small and medium-sized enterprises in Taiwan are willing to invest in Industry 4.0, they have no direction for the practical model of Industry 4.0. They have not yet clearly defined the company's Industry 4.0 goals and assessed the current state of technology, so they have invested in expensive information systems or mechanical equipment, resulting in poor benefits. Take the food industry as an example. In recent years, the proportion of technology applications in the global food industry has increased, and it is an important guidance industry in Taiwan's manufacturing industry. However, the domestic food industry does not yet have a mature Industry 4.0 industrial ecosystem. Taiwan has a mature environment in the Internet of Things, big data, and artificial intelligence compared to the world. If there is an Industry 4.0 practice model that can provide companies with clear steps to help companies clarify Industry 4.0 goals and evaluate benefits, it will increase companies' willingness to invest, continue to establish the best investment model for companies, and enhance the competitiveness of Taiwan's food industry in the international market.
This study divides the Industry 4.0 practice model into two steps: Industry 4.0 pre-planning and Industry 4.0 QC story. The first step is to refer to the literature of Industry 4.0 empirical research, I4.0 maturity model and QC Story, and decide the key application projects for the enterprise according to the characteristics of the industry. Then communicate with the company about the concept and dimensions of Industry 4.0, clarify the motivation for investment, and evaluate the current state of the company's Industry 4.0 maturity. Based on the gap with the goal, help the company to confirm the theme and plan the overall blueprint.The second step adopts the methodology of the project-based QC story. Through the combination of the introduction process of eight steps and the concept of Industry 4.0, the practice mode of introducing Industry 4.0 in Taiwan's food industry is discussed in the form of case studies, so as to make the intention to develop towards Industry 4.0. Enterprises can follow clear steps to shorten the time to find the most suitable strategy for the enterprise, and continue to accumulate cases for subsequent enterprises to use.
This study conducts empirical research on the food industry, and selects three themes of transparency in food safety, digitalization of production and manufacturing, and intelligent operation management as short-term goals according to the needs of company L. Through self-assessment and structured steps, in the dimensions of smart service, smart machinery, and smart production, it can shorten the traceability of problematic food, improve production efficiency, and reduce inventory costs.
The results of this research are expected to assist subsequent enterprises in evaluating the introduction of Industry 4.0, avoid misplacement of input resources, improve the efficiency of the introduction, and continue to accumulate implementation results for subsequent discussion and research. Taking a case as an example, there are still many projects on the selected theme that can be continuously improved. In the follow-up, it is necessary to continuously adjust the long-term path of the enterprise's Industry 4.0. Through the continuous cycle of short-term goal achievement and long-term strategic adjustment, the organizational culture and enterprise digitalization can be continuously improved. Improve management capabilities and digital engineering capabilities, and gradually practice Industry 4.0.
中文文獻
1. 王豐盛(2020)。重大疫情影響下餐飲業者的因應策略。國立高雄科技大學行銷與流通管系碩士學位論文,高雄市。
2. 行政院科技會報辦公室(2015)。行政院生產力4.0發展方案。台灣經濟論衡,13(1),47-62.
3. 朱品樺(2019)。新冠肺炎疫情下消費者購買決策與行為探討。國立中正大學企業管理系研究所碩士學位論文,嘉義縣。
4. 杉浦忠、山田佳明(2003)。QC-Story的活用手法。台北市:財團法人中衛發展中心。
5. 李傑(2016)。工業大數據:工業4.0時代的智慧轉型與價值創新。台北市:天下雜誌。
6. 林秋香、王秀帆、周玉民、顏哲傑(2015)。我國民眾感染霍亂弧菌之流行病學探討。疫情報導,31(11),266-274。
7. 周恆昱(2019)。工業4.0浪潮下電子製造產業的策略宏觀變革-以財務績效指標探討。交通大學管理學院經營管理學程學位論文,新竹市。
8. 周韻榕(2020)。新冠肺炎對行動支付使用者習慣影響之研究。世新大學財務金融學研究所(含碩專班)碩士學位論文,台北市。
9. 洪志銘、莊雅晴(2016)。他山之石可以攻錯:借鏡國際推動中小企業智慧製造的作法。經濟前瞻,167,50-55。
10. 狩野紀昭(2015)。課題達成型品質改善歷程法。台北市:財團法人中衛發展中心。
11. 許元修(2021)。 Covid-19疫情對台灣保健食品消費行為變化調查分析。台北醫學大學管理學院生物科技高階管理碩士在職灣班碩士學位論文,台北市。
12. 黃秋香(2015)。智慧製造於食品產業應用之探討。台北市:財團法人食品工業發展研究所食品所。
13. 黃尚婷(2020)。新零售產業的現況與契機—科技及新冠毅情的影響,國立交通大學管理學院科技管理學程碩士學位論文,新竹市。
14. 楊仲興(2020)。探討新冠肺炎期間原油價格對橡膠產業股價之影響,中華大學企業管理學系碩士學位論文,新竹市。
15. 楊智翔(2020)。新冠肺炎疫情對金融業數位轉型的影響—以純網銀發展為例,國立臺灣科技大學財務金融研究所碩士學位論文,台北市。
16. 鄭伊婷(2021)。新冠肺炎疫情下之供應鏈管理個案研究。國立政治大學國際經營管理英語碩士學位學程(IMBA)碩士學位論文,台北市。
17. 賴美倫(2016)。臺灣中小企業製造業工業4.0落地之關鍵成功因素。中原大學企業管理研究所碩士學位論文,桃園市。
18. 蔡貴豐(2020)。新冠肺炎疫情對餐廳消費意願之影響。國立臺灣科技大學管理係碩士學位論文,台北市。
19. 謝琳萱(2020)。台灣地區產業工業4.0策略之探討:產業發展歷程及企業體質觀點。國立中央大學企業管理學系碩士學位論文,桃園市。
20. 簡相堂等人(2021)。2021食品產業年鑑。台北市:財團法人食品工業發展研究所。
21. 簡禎富、林國義、許鉅秉、吳政鴻(2016)。台灣生產與作業管理之相關期刊文獻回顧與前瞻:從工業3.0到工業3.5。管理學報,33(1),87-103
22. 葉芳瑜(2019)。洞察2030年智慧製造之關鍵技術領域發展趨勢。Research Portal科技政策觀點,2019(8),93-98。
23. 賴孟麗、陳麗婷(2015)。食品產業導入物聯網之發展現況及展望。台北市:財團法人食品工業發展研究院食品所。
24. 陳品媜(2020)。台灣地區工業4.0成熟度現況之探討。國立中央大學企業管理學系研究所碩士論文,桃園市。
25. 陳于琪(2022)。新世代「變」以占先機-劃定戰場,新創企業品牌逆勢突圍之路,臺灣經濟研究月刊,45(6),23-31
26. Puchan, J., Krischke, A., & Jun-Der, Leu.(2019)。全台首次566家公司智慧製造大調查:誰是最佳工業4.0企業﹖天下雜誌,665:72-86。
英文文獻
1. Anderl, R., Anokhin, O., Arndt, A. (2018). “Efficient Factory 4.0 Darmstadt—Industrie 4.0 Implementation for Midsize Industry.” The Internet of Things, München, Germany, 117–131.
2. Bauernhansl, T. (2014). “Die Vierte Industrielle Revolution. Der Weg in ein wertschaffendes Produktionsparadigma.”, Springer, Wiesbaden, 3-35.
3. Buer, S.-V., Standhagen, J., & Chan, F. (2018). “The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda.” International journal of Pronduction Research, 56(8), 2924-2940.
4. Donovan, P.O., Sullivan, D.T.J.O. and Bruton, K. (2016), “IAMM: ‘A maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities”, International Journal of Prognostics and Health Management, 7 (32), 1-11.
5. Faller, C., Feldmüller, D. (2015). “Industry 4.0 learning factory for regional SMEs” Procedia CIRP, 32 (2015), 88-91.
6. Hermann, M., Pentek, T., and Otto, B. (2016). “Design Principles for Industrie 4.0 Scenarios”, 2016 49th Hawaii International Conference on System Sciences (HICSS), 3928–3937.
7. Ivanov, D., Dolgui, A. and Boris Sokolov, B. (2019). “The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics” International Journal of Production Research, 57(3), 829-846.
8. Kagermann, H. (2015) “Change Through Digitization – Value Creation in the Age of Industry 4.0”, Management of Permanent Change, New York: Springer, 23-45.
9. Kagermann, H., Wahlster, W. and Helbig, J. (2013) “Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0 Working Group”, Frankfurt.
10. Kolla, S., Minufekr, M., & Plapper, P. (2019). “Deriving essential components of lean and industry 4.0 assessment model for manufacturing SMEs.” Procedia CIRP, 81,753-758.
11. Lasi, H., Fettke, P., Kemper, H.G., Feld, T. & Hoffmann, M. (2014) “Industry 4.0”. Business & Information Systems Engineering, 6, 239–242
12. Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E. andSchröter, M., IMPULS – Industrie 4.0 Readiness, VDMA’s IMPULS-Foundation, Aachen.
13. Narula, S., Prakash, S., Dwivedy, M., Talwar, V., & Tiwari, S. P. (2020). Industry 4.0 adoption key factors: An empirical study on manufacturing industry. Journal of Advances in Management Research, 17(5), 697– 725.
14. Rauch, E. , Unterhofer, M., Rojas,R.A., Gualtieri, L., Woschank, M., and Matt, D.T. (2020) “A Maturity Level-Based Assessment Tool to Enhance the Implementation of Industry 4.0 in Small and Medium-Sized Enterprises” Sustainability, 12 (9) , 3559
15. Santos, R.C., and Martinho, J.L. (2019). “An Industry 4.0 maturity model proposal”, Journal of Manufacturing Technology Management, doi: 10.1108/JMTM-09-2018-0284
16. Rossit, D.A., Tohmé, F. & Frutos, M. (2019). “Industry 4.0: Smart Scheduling.” International Journal of Production Research, 57(12), 3802-3813
17. Schumacher, A., Erol, S. and Sihn, W. (2016), “A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises”, Procedia CIRP, Vol. 52, pp. 161-166
18. Vernadat, F.B., Chan, F.T.S., Molina, A., Nof, S.Y., and Panetto, H. (2018). “Information systems and knowledge management in industrial engineering: recent advances and new perspectives.” International Journal of Production Research, 56(8), 829-846.
19. Yao, X., Zhou, J., Zhang J., and Boär, C. R. (2017) “From intelligent manufacturing to smart manufacturing for industry 4.0 driven by next generation artificial intelligence and further on”, Proc. 5th Int. Conf. Enterprise Syst. (ES), 311-318,
20. Zhan, Z.H., Liu,X.F., Gong, Y.J., Zhang, J.Z.,Chung, H. and Li, Y. (2015) “Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches” ACM Computing Surveys, 47:4(63), 1–33
網路資料
1. 【D Forum 2021智慧工廠論壇】DIGITIMES:智慧製造大調查 2021。
https://www.youtube.com/watch?reload=9&v=1DRSeSJty8I
( 瀏覽時間 May 2, 2022)
2. 台灣工業文化資產網,食品產業的歷史發展脈絡。 https://iht.nstm.gov.tw/form/index-1.asp?m=2&m1=3&m2=77&gp=21&id=12
( 瀏覽時間 June 15, 2022)
3. 張善政(2015)。2015行政院生產力4.0科技發展策略會議開幕致詞。
https://www.ithome.com.tw/news/96429
( 瀏覽時間 June 27, 2022)
4. 衛福部食藥署(2014)。「應建立食品及相關產品追溯追蹤系統之食品業者」。https://www.fda.gov.tw/TC/newsContent.aspx?id=11727&chk=005b0cc2-0ec3-4abe-a161-eb01551f75fb#.VrbwQ-FunMA
( 瀏覽時間 June 3, 2022)
5. EOL ISURVEY東方線上2021年3月份消費者動態速報。
https://www.isurvey.com.tw/2_event/detail.aspx?id=442
( 瀏覽時間 March 3, 2022)
6. Bevilacqua, E (2017).”Industry 4.0 per proiettare il manifatturiero europeo nel futuro.” NETWORKDIGITAL360, https://www.zerounoweb.it/cio-innovation/pa-digitale/industry-4-0-per-proiettare-il-manifatturiero-europeo-nel-futuro/(accessed June 27, 2022).
7. Schuh, G., Anderl, R., Gausemeier, J., ten Hompel, M. and Wahlster, W. (2017), “Industrie 4.0 maturity index”, Managing the Digital Transformation of Companies (Acatech Study), Herbert Utl Verlag, Munich, available at: https://en.acatech.de/wp-content/uploads/sites/6/2018/03/acatech_STUDIE_Maturity_Index_eng_WEB.pdf (accessed June 26, 2022).
8. International Electrotecnical Commission, British Standards Institution, 44.
[2]Insustrial Internet Consortium. (2019). The Industrial Internet of Things Volume G1: Reference Architecture. Retrieved from
https://www.iiconsortium.org/pdf/IIRA-v1.9.pdf (accessed June 3, 2022).