Pemilihan Teknologi Baru Menuju Industri 4.0 Pada Perusahaan Manufaktur Menggunakan Analytical Hierarchy Process (AHP) New Technology Selection Towards Industry 4.0 Of A Manufacturing Company Using Analytical Hierarchy Process (AHP)
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Abstract
Adopsi teknologi baru sebagai bagian dari Industri 4.0 memberikan peluang bagi bisnis terlepas dari sekala dan ukurannya. UKM menghadapi tantangan dalam mengadopsi I4.0 meskipun tidak mengurangi manfaat yang akan dapat oleh perusahaan-perusahaan ini, yaitu lambatnya proses pengambilan keputusan untuk memperkenalkan teknologi canggih ke bisnis. Untuk membantu bisnis dalam menghasilkan keputusan tentang teknologi mana yang harus diinvestasikan, AHP akan digunakan dalam penelitian ini. Kriteria yang berbeda berdasarkan data yang dikumpulkan dari UKM akan dipertimbangkan dan 3 teknologi akan disajikan kepada pembuat keputusan utama perusahaan. Melalui perangkat lunak Super Decisions, setiap kriteria ditugaskan dengan bobot yang berbeda dengan cara melakukan wawancara dengan pembuat keputusan. Melalui hal ini, kesimpulan dari penelitian ini adalah keputusan yang tidak memihak dan objektif yang dapat membantu perusahaan dalam adopsi Industri 4.0.
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References
Asif, M. (2020). Are QM models aligned with Industry 4.0? A perspective on current practices. Journal of Cleaner Production, 258, 120820.
Daniyan, I., Mpofu, K., Ramatsetse, B., & Adeodu, A. (2020). Design and simulation of a robotic arm for manufacturing operations in the railcar industry. 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2020) (67-72). Athens: Procedia Manufacturing
Dogan, O. (2021). Process mining technology selection with spherical fuzzy AHP and sensitivity analysis. Expert Systems with Applications.
Elhusseiny, H. M., & Crispim, J. (2022). SMEs, Barriers and Opportunities on adopting Industry 4.0: A Review. Procedia Computer Science (864-871). CENTERIS - International Conference on ENTERprise Information Systems.
Ghobakhloo, M., & Iranmanesh, M. (2021). Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. Journal of Manufacturing Technology Management, 32(8), 1533-1556.
Gyasi, E. A., Kah, P., Penttila, S., Ratava, J., Handroos, H., & Sanbao, L. (2019). Digitalized automated welding systems for weld quality predictions and reliability. 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2019) (133-141). Limerick: Procedia Manufacturing.
Kilic, M., & Abdulvahitoglu, A. (2021). A new approach for selecting the most suitable oilseed for biodiesel production; the integrated AHP-TOPSIS method. Ain Shams Engineering Journal.
Kumar, S., Maithani, R., & Kumar, A. (2021). Optimal design parameter selection for performance of alumina nano-material particles and turbulence promotors in heat exchanger: An AHP-TOPSIS technique. Materials Today: Proceedings, 3152-3155.
Mojaver, M., Hasanzadeh, R., Azdast, T., & Park, C. B. (2022). Comparative study on air gasification of plastic waste and conventional biomass based on coupling of AHP/TOPSIS multi-criteria decision analysis. Chemosphere.
Rajput, V., Sahu, N. K., & Agrawal, A. (2021). Integrated AHP-TOPSIS methods for optimization of epoxy composite filled with Kota stone dust. Materials Today: Proceedings.
Ricci, R., Battaglia, D., & Neirotti, P. (2021). External knowledge search, opportunity recognition and industry 4.0 adoption in SMEs. International Journal of Production Economics.
Schonsleben, P., Fontana, F., & Duchi, A. (2017). What benefits do initiatives such as Industry 4.0 offer for production locations in high-wage countries? The 50th CIRP Conference on Manufacturing Systems 179-183. Zurich, Switzerland: Procedia CIRP.
Tang, Y., Sun, H., Yao, Q., & Wang, Y. (2014). The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytical hierarchy process): Case study of China. Energy, 474-482.
Turkyilmaz, A., Dikhanbayeva, D., Suleiman, Z., Shaikholla, S., & Shebab, E. (2021). Industry 4.0: Challenges and opportunities for Kazakhstan SMEs. CIRPe 2020 - 8th CIRP Global Web Conference - Flexible Mass Customisation 213-218. Elsevier B.V.
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0 - A Glimpse. 2nd International Conference on Materials Manufacturing and Design Engineering (233-238). Aurangabad, India: Procedia Manufacturing.
Wang, B., Song, J., Ren, J., Li, K., Duan, H., & Wang, X. (2019). Selecting sustainable energy conversion technologies for agricultural residues: A fuzzy AHP-VIKOR based prioritization from life cycle perspective. Resources, Convservation & Recycling.
Walter Cardoso Satyro, e. (2022). Industry 4.0 implementation: The relevance of sustainability and the potential social impact in a developing country. Journal of Cleaner Production.
QAT Global. (2022). Retrieved from 5 Important Things to Consider When Investing in New Technology: https://www.qat.com/5-things-to-consider-investing-in-new-technology/