DEVELOPMENT OF DATA ANALYTIC TOOLS IN MANUFACTURING SYSTEMS USING DESIGN THINKING METHOD

Arraz Naoval Viacenza, Andri D Setiawan

Abstrak


Currently, it is rare for Data analytic Tools to take a user-centric approach to their users. An approach to the user is needed by collaborating between domain experts and business managers in modeling problems, finding insights, and designing models before entering the implementation phase. The objectives of this study include identifying the needs of manufacturing industry players for the application of Data Analytic Tools in the manufacturing system and providing recommendations for the application of the Design Thinking approach in developing Data Analytic models in the Manufacturing Industry. The results of this research include the manufacturing industry has a need for Data Analytic Tools to monitor and document machine performance in real time and accurately, and can help identify errors or other abnormal situations then Design Thinking can make it easier for us to design products from various user perspectives. We can understand user needs, user motivation, and user behavior towards the products we develop. Design Thinking also offers various model frameworks that can help us understand the user.

Kata Kunci


Data Analytic; Design Thinking; Manufacture

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Referensi


Alhazmi and Shihong Huang. 2020. Integrating Design Thinking into Scrum Framework in the Context of Requirements Engineering Management. In Proceedings of the 2020 3rd International Conference on Computer Science and Software Engineering (CSSE 2020). Association for Computing Machinery, New York, NY, USA, 33–45. https://doi.org/10.1145/3403746.3403902

Caroll, N., Richardson, I. (2016). Aligning Healthcare Innovation and Software Requirements through Design Thinking. Austin: International Workshop on Software Engineering in Healthcare Systems.

Cheng, Y., Chen, K., Sun, H., Zhang, Y., & Tao, F. (2018). Data and knowledge mining with big data towards smart production. Journal of Industrial Information Integration, 9, 1–13. https://doi.org/10.1016/j.jii.2017.08.001

d.school Bootcamp Bootleg. (2013). Diakses melalui https://static1.squarespace.com/static/57c6b79629687fde090a0fdd/t/58890239db29d6cc6c3338f7/1485374014340/METHODCARDS-v3-slim.pdf

Ferreira Martins, H., Carvalho de Oliveira Junior, A., Dias Canedo, E., Dias Kosloski, R. A., Ávila Paldês, R., & Costa Oliveira, E. (2019). Design Thinking: Challenges for Software Requirements Elicitation. Information, 10(12), 371. https://doi.org/10.3390/info10120371

Gaspersz, Vincent, (1998), Statistical Proses Control Penerapan Teknik-Teknik Statistik dalam Manajemen Bisnis Total, Jakarta : Diterbitkan atas Kerja Sama Yayasan Indonesia Emas, Institut Vincent, PT Gramedia Pustaka Utama.

González, C.S., González, E.J., Cruz, V.M., & Saavedra, J.S. (2010). Integrating the Design Thinking into the UCD's methodology. IEEE EDUCON 2010 Conference, 1477-1480.

Häger, F., Kowark, T., Krüger, J., Vetterli, C., Übernickel, F., Uflacker, M. (2015). DT@Scrum: Integrating Design Thinking with Software Development Processes. In: Plattner, H., Meinel, C., Leifer, L. (eds) Design Thinking Research Understanding Innovation. Springer, Cham. https://doi.org/10.1007/978-3-319-06823-7_14

He, Q. P., & Wang, J. (2018). Statistical process monitoring as a big data analytics tool for smart manufacturing. Journal of Process Control, 67, 35–43. https://doi.org/10.1016/j.jprocont.2017.06.012.

Kenny, U., Regan, A., Hearne, D., & O’Meara, C. (2021). Empathising, defining and ideating with the farming community to develop a geotagged photo app for smart devices: A Design Thinking approach. Agricultural Systems, 194, Doi: https://doi.org/10.1016/j.agsy.2021.103248

Khalajzadeh, H., Simmons, J., A., Abdelrazek, M., Grundy, J., Hosking, J., & He, Q. (2020). An end-to-end model-based approach to support big data analytics development. Journal of Computer Languages, 58, 100964. 10.1016/j.cola.2020.100964

Laney, D. (2001) 3D Data Management: Controlling Data Volume, Velocity and Variety. META Group Research Note, 6.

Parizi, R., Prestes, M., Marczak, S., & Conte, T. (2022). How has Design Thinking being used and integrated into software development activities? A systematic mapping. The Journal of Systems & Software, 187, Doi: https://doi.org/10.1016/j.jss.2022.111217

S. Kuula, H. Haapasalo and J. -M. Kosonen, "Three Phases of Transforming a Project-Based IT Company Into a Lean and Design-Led Digital Service Provider," in IEEE Software, vol. 37, no. 2, pp. 41-48, March-April 2020, doi: 10.1109/MS.2019.2958012.

Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016b). 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. https://doi.org/10.1016/j.comnet.2015.12.017

Wang J, Yang J, Zhang J, Wang X, Zhang W (Chris). Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterp Information System 2018, 12:6, 714–732. https://doi.org/10.1080/17517575.2018.1450998.

Woo, Jungyub & Shin, Seung-Jun & Seo, Wonchul & Meilanitasari, Prita. (2018). Developing a big data analytics platform for manufacturing systems: architecture, method, and implementation. The International Journal of Advanced Manufacturing Technology. 99. 10.1007/s00170-018-2416-9.

W. v. d. Aalst and E. Damiani, "Processes Meet Big Data: Connecting Data Science with Process Science," in IEEE Transactions on Services Computing, vol. 8, no. 6, pp. 810-819, 1 Nov.-Dec. 2015, doi: 10.1109/TSC.2015.2493732.

Ying, C., Ken, C., Hemeng, S.,Yongping, Z., & Fei, T. (2018). Data and knowledge mining with big data towards smart production. Journal of Industrial Information Integration, 9, 1-13, Doi: https://doi.org/10.1016/j.jii.2017.08.001




DOI:

https://doi.org/10.36441/seoi.v4i2.1183

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