| 研究生: |
莊曜愷 Yao-Kai Zhuang |
|---|---|
| 論文名稱: |
工業4.0實踐模式之探討-以民生工業爲例 Exploration of Industry 4.0 Practice Model -Take Livelihood Industry as an Example |
| 指導教授: |
呂俊德
Jun-Der Leu |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 中文 |
| 論文頁數: | 85 |
| 中文關鍵詞: | 工業4.0 、實踐模式 、成熟度評估模型 |
| 外文關鍵詞: | Industry 4.0, practice model, maturity assessment model |
| 相關次數: | 點閱:14 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 |
德國工業4.0的出現帶動了全球性的工業發展浪潮,許多國家認識到工業發展的重要性,而中國大陸雖然被稱為“世界工廠”,但只是基於工業規模龐大, 在工業水平方面仍然較低。若中國大陸維持現有狀況停滯不前,則將與他國的工業差距越來越大,最終失去製造市場,因此中國大陸力求落實符合自身發展狀況的工業模式,改變原先較爲薄弱的工業基礎,將中國製造由大變强。
本研究通過工業4.0的觀念、内涵説明工業 4.0的定義及涉及的六個面向與實踐模式,並利用成熟度評估模型及問卷結果進行分析,找出個案公司的工業4.0模式實施缺口,并基於理論基礎對缺口提出建議,證明了工業4.0模式應用於個案公司的可行性。
The emergence of Industry 4.0 in Germany has led to a global wave of industrial development, and many countries have realized the importance of industrial development. Although mainland China is known as the "world factory", it is still low in terms of industrial level because of its huge industrial scale.If the current situation of mainland China remains stagnant, the industrial gap with other countries will widen and eventually lose the manufacturing market. Therefore, mainland China strives to implement the industrial model in line with its own development situation, change the original relatively weak industrial base, and transform Chinese manufacturing from big to strong.
Based on the concept and connotation of Industry 4.0, this study explains the definition of Industry 4.0 and the six aspects and practice model involved, and analyzes the maturity assessment model and questionnaire results to find out the implementation gap of Industry 4.0 model of the case company, and puts forward suggestions on the gap based on the theoretical basis, it proves the feasibility of applying the Industry 4.0 model to the individual company.
Achillas, C., Tzetzis, D., & Raimondo, M. O. (2017). Alternative Production Strategies Based on the Comparison of Additive and Traditional Manufacturing Technologies. International Journal of Production Research , 55(12). 3497–3509.
Alyahya, S., Wang, Q., & Bennett, N. (2016). Application and integration of an RFID-enabled warehousing management system–a feasibility study. Journal of Industrial Information Integration, 4, 15-25.
Anderl, R., Strang, D., Picard, A., & Christ, A. (2014). Integriertes Bauteildatenmodell für Industrie 4.0: Informationsträger für cyber-physische Produktionssysteme. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 109(1-2), 64-69.
Avis, J. (2018). Socio-technical imaginary of the fourth industrial revolution and its implications for vocational education and training: A literature review. Journal of Vocational Education & Training, 70(3), 337-363.
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57(15-16), 4719-4742, https://doi.org/10.1080/00207543.2017.1402140. Bittencourt, V., Alves, A. C., & Leão, C. P. (2021). Industry 4.0 triggered by Lean Thinking: insights from a systematic literature review. International Journal of Production Research, 59(5), 1496-1510.
Botthof, A., & Hartmann, E. A. (2015). Zukunft der Arbeit in Industrie 4.0. China Machine Press.
Brauckmann, O. (2015). Wertschöpfung durch Geschäftsmodelle. China Machine Press.
Breda, G., & Kiss, M. (2020). Overview of Information Security Standards in the Field of Special Protected Industry 4.0 Areas & Industrial Security. Procedia Manufacturing, 46, 580-590.
Buyya, R., Broberg, J., & Goscinski, A. M. (2010). Cloud Computing: Principles and Paradigms, New York: Wiley.
Chen, T., & Tsai, H. (2017). Ubiquitous manufacturing: Current practices, challenges, and opportunities. Robotics and computer-integrated manufacturing, 45, 126-132.
Cimini, C., Pezzotta, G., Pinto, R., & Cavalieri, S. (2018). Industry 4.0 technologies impacts in the manufacturing and supply chain Landscape: an overview. International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, 109-120.
Cocca, P., Marciano, F., Rossi, D., & Alberti, M. (2018). Business software offer for industry 4.0: The SAP case. IFAC-PapersOnLine, 51(11), 1200-1205.
Dalenogare, L. S., Benitez, Guilherme B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance.International Journal of Production Economics, 204, 383-394.
Danjou, C., Rivest, L., & Pellerin, R. (2017). Industrie 4.0: des pistes pour aborder l’ère du numérique et de la connectivité, CEFRIO.
Davies, R., Coole, T., & Smith, A. (2017). Review of socio-technical considerations to ensure successful implementation of Industry 4.0. Procedia Manufacturing, 11, 1288-1295.
De-Man, J. C., & Strandhagen, J. O. (2017). An Industry 4.0 research agenda for sustainable business models. Procedia Cirp, 63, 721-726.
ElMaraghy, H. A. (2005). Flexible and reconfigurable manufacturing systems paradigms. International journal of flexible manufacturing systems, 17(4), 261-276.
Foidl, H., & Felderer, M. (2015). Research challenges of industry 4.0 for quality management. Springer, 121-137. Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
Friedli, T., Lanza, G., Schuh, G., Reuter, C., Arndt, T., Fränken, B., Lützner, R., & Wenking, M. (2015). Industrie 4.0–ein Beitrag zur Entwicklung von “Smart Networks “. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 110(6), 378-382.
Gilchrist, A. (2016). Industry 4.0: the industrial internet of things. Springer.
Gorkhali, A., & Xu, L. D. (2016). Enterprise application integration in industrial integration: a literature review. Journal of Industrial Integration and Management, 1(4), 1650014.
Haddara, M., & Elragal, A. (2015). The Readiness of ERP Systems for the Factory of the Future. Procedia computer science, 64, 721-728.
He, W., & Li, D. X. (2012). Integration of distributed enterprise applications: A survey. IEEE Transactions on industrial informatics, 10(1), 35-42.
Hilty, L. M., & Aebischer, B. (2015). ICT for sustainability: An emerging research field. Springer, 3-36. Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386-402.
Ivanov, D., Dolgui, A. & 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, https://doi.org/10.1080/00207543.2018.1488086.
Janssen, M., van-der-Voort, Haiko., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338-345.
Jardim-Goncalves, R., Romero, D., & Grilo, A. (2017). Factories of the future: challenges and leading innovations in intelligent manufacturing. International Journal of Computer Integrated Manufacturing, 30(1), 4-14.
Jazdi, N. (2014). Cyber physical systems in the context of Industry 4.0. IEEE, 1-4.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425.
Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Do-Noh, S. (2016). Smart manufacturing: Past research, present findings, and future directions. International journal of precision engineering and manufacturing-green technology, (3)1, 111-128.
Kim, S. H., & Park, S. B. (2017). CPS(Cyber Physical System) based Manufacturing System Optimization. Procedia computer science, 122, 518-524.
Kiss, M., Breda, G., & Muha, L. (2019). Information security aspects of Industry 4.0. Procedia manufacturing, 32, 848-855.
Kowalkowski, C., Windahl, C., Kindström, D., & Gebauer, H. (2015). What service transition? Rethinking established assumptions about manufacturers' service-led growth strategies. Industrial marketing management, 45, 59-69.
Lee, J., Jin, C., Liu, Z., & Ardakani, H. D. (2017). Introduction to data-driven methodologies for prognostics and health management. Springer, 9-32.
Li, D. X. (2011). Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4), 630-640.
Li, D. X., & Lian, D. (2019). Big data for cyber physical systems in industry 4.0: a survey, Enterprise Information Systems, 13(2), 148-169, https://doi.org/10.1080/17517575.2018.1442934.
Li, D. X., Wu, H., & Li, S. C. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4), 2233-2243.
Li, D. X., Xu, E. L., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941-2962.
Li, Y., Cao, B., Xu, L., Yin, J., Deng, S., Yin, Y., & Wu, Z. (2013). An efficient recommendation method for improving business process modeling. IEEE Transactions on Industrial Informatics, 10(1), 502-513.
Liao, Y. X., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International journal of production research, 55(12), 3609-3629.
Liu, F., Tan, C., Lim, E. T., & Choi, B. (2017). Traversing knowledge networks: an algorithmic historiography of extant literature on the Internet of Things (IoT). Journal of Management Analytics, 4(1), 3-34.
Mantravadi, S., & Møller, C. (2019). An overview of next-generation manufacturing execution systems: How important is MES for industry 4.0? Procedia manufacturing, 30, 588-595. Meissner, H., Ilsen, R., & Aurich, J. C. (2017). Analysis of control architectures in the context of Industry 4.0. Procedia cirp, 62, 165-169.
Mohamad, A., Zainuddin, Y., Alam, N., & Kendall, G. (2017). Does decentralized decision making increase company performance through its Information Technology infrastructure investment? International Journal of Accounting Information Systems, 27, 1-15.
Pereira, A. C., & Romero, F. (2017). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206-1214.
Pereira, T., Barreto, L., & Amaral, A. (2017). Network and Information Security Challenges within Industry 4.0 Paradigm, Procedia manufacturing, 17, 1253-1260.
Perico, P., Arica, E., Powell, D. J., & Gaiardelli, P. (2019). MES as an Enabler of Lean Manufacturing. IFAC-PapersOnLine, 52(13), 48-53.
Phuyal, S., Bista, D., & Bista, R. (2020). Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. Sustainable Futures, 2, 100023. Prinz, C., Kreggenfeld, N., & Kuhlenkötter, B. (2018). Lean meets Industrie 4.0–a practical approach to interlink the method world and cyber-physical world. Procedia manufacturing, 23, 21-26.
Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for industry 4.0 and beyond. Procedia cirp. 52, 173-178.
Rajnai, Z., & Kocsis, I. (2018). Assessing industry 4.0 readiness of enterprises. 2018 IEEE 16th world symposium on applied machine intelligence and informatics (SAMI), 000225-000230.
Rossit, D. A., Tohmé, F., & Frutos, M. (2019). Industry 4.0: Smart Scheduling. International Journal of Production Research, 57(12), 3802-3813, https://doi.org/10.1080/00207543.2018.1504248.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia Cirp, 52, 161-166. Schumacher, A., Nemeth, T., & Sihn, W. (2018). Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises, Procedia Cirp, 79, 409-414.
Schumacher, A., & Sihn, W. (2020). A strategy guidance model to realize industrial digitalization in production companies, Procedia Cirp, 11, 14-25.
Schwab, K. (2016). The Fourth Industrial Revolution. China CITIC Press.
Sendler, U., Anderl, R., Anokhin, O., Arndt, A., Dumitrescu, R., Eigner, M., Ganz, C., Huber, A. S., Michels, J. S., Ruckert, T., Tian, S. B., & Stark, R. (2018). Industrie 4.0 Grenzenlos, China CITIC Press.
Shrouf, F., Ordieres, J., & Miragliotta, Giovanni. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. IEEE, 697-701.
Sony, M., (2018). Industry 4.0 and lean management: a proposedintegration model and research propositions. Production & Manufacturing Research, 6(1), 416-432.
Sony, M. (2020). Pros and cons of implementing Industry 4.0 for the organizations: a review and synthesis of evidence. Production & Manufacturing Research, 8(1), 244-272.
Sony, M., & Naik, S. (2019). Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. Benchmarking: An International Journal, 27(7), 1463-5771.
Sony, M., & Naik, S. (2020). Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model. Technology in Society, 61, 101248.
Tabaa, M., Monteiro, F., Bensag, H., & Dandache, A. (2020). Green Industrial Internet of Things from a smart industry perspectives. Energy Reports, 6, 430-446.
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94(9), 3563-3576.
Tao, F., Sui, F. Y., Liu, A., Qi, Q. L. Zhang, M., Song, B. Y., Guo, Z. R., Lu, S. C. Y., & Nee, A. Y. C. (2019) Digital twin-driven product design framework, International Journal of Production Research, 57(12), 3935-3953, https://doi.org/10.1080/00207543.2018.1443229.
Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., & Lennartson, Bengt. (2017). An event-driven manufacturing information system architecture for Industry 4.0. International journal of production research, 55(5), 1297-1311.
Thiede, S. (2021). Digital technologies, methods and tools towards sustainable manufacturing: does Industry 4.0 support to reach environmental targets? Elsevier, 98, 1-6.
Trappey, A. J., Trappey, C. V., Govindarajan, U. H., Chuang, A. C., & Sun, J. J. (2017). A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0. Advanced Engineering Informatics, 33, 208-229.
Vendrell-Herrero, F., Bustinza, O. F., Parry, G., & Georgantzis, N. (2017). Servitization, digitization and supply chain interdependency. Industrial Marketing Management, 60, 69-81.
Vernadat, F. B., Chan, F. T. S., Molina, A., Nof, S. Y., & Panetto H. (2018). Information systems and knowledge management in industrial engineering: recent advances and new perspectives. International Journal of Production Research, 56(8), 2707-2713, https://doi.org/10.1080/00207543.2018.1454615.
Waibel, M. W., Steenkamp, L. P., Moloko, N., & Oosthuizen, G. A. (2017). Investigating the effects of smart production systems on sustainability elements. Procedia Manufacturing, 8, 731-737.
Wang, S. Y., Wan, J. F., Li, D., & Zhang, C. H. (2016). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, 12(1), https://doi.org/10.1155/2016/3159805.
Wang, S. Y., Wan, J. F., Zhang, D. Q., Li, D., & Zhang, C. H. (2016). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158-168.
Weking, J., Stöcker, M., Kowalkiewicz, M., Böhm, M., & Krcmar, H. (2020). Leveraging industry 4.0–A business model pattern framework. International Journal of Production Economics, 225, 107588.
Weyer, S., Schmitt, M., Ohmer, M., & Gorecky, D. (2015). Towards Industry 4.0-Standardization as the crucial challenge for highly modular, multi-vendor production systems. Ifac-Papersonline, 48(3), 579-584.
Wu, W., Lu, J. F., & Zhang, H. (2019). Smart Factory Reference Architecture Based on CPS Fractal. IFAC-PapersOnLine, 52(13), 2776–2781.
Xia, Y. N., & Z, S. (2015). Industrie 4.0: The Present is The Processing Future. China Machine Press.
Xia, Y. N. & Z, S. (2016). China Manufacturing 2025. China Machine Press.
Yin, Y., Stecke, K. E., & Li, D. (2018). The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research, 56(1-2),848-861.
Yu, Y., & Madiraju, S. (2015). Enterprise Application Transformation Strategy and Roadmap Design: A Business Value Driven and IT Supportability Based Approach. IEEE, 66-71. Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630.
Žapčević, S., & Butala, P. (2013). Adaptive Process Control Based on a Self-Learning Mechanism in Autonomous Manufacturing Systems. The International Journal of Advanced Manufacturing Technology, 66(9–12), 1725–1743, https://doi.org/10.1007/s00170-012-4453-0.