Visual Management Design in Business Processes for Power Transformer Factories Using Virtual Obeya
DOI:
https://doi.org/10.59188/eduvest.v6i3.52862Keywords:
Engineering to Order, Physical Obeya, System Usability Scale, Value Proposition Canvas, VirtualizationAbstract
Power transformer factories are an Engineering to Order (ETO) industry where the products produced have small volume characteristics but many variants. This is due to the need for a power transformer that adjusts to the needs of the customer's electrical system so that each transformer is designed custom. This business process requires a very massive and rapid exchange of information. It is necessary to have a platform to make the distribution of information structured. Currently, Physical Obeya is implemented using a large space and a board containing important data that can be viewed by all cross-functional teams. However, this board still has some drawbacks to accessibility that require a physical presence and a complicated update process. So, virtualization on Physical Obeya was carried out. Virtualization is done by gathering several inputs from cross-functional teams and mapping them into a Value Proposition Canvas to identify the goals and advantages and disadvantages of Physical Obedience that has been carried out so far. Then, the design of virtualization in Physical Obeya is carried out by understanding the business processes in the company to identify what are the process checkpoints in a project into a database, and visualized in a way that takes into account human factors and cognitive ergonomics. Thus, virtual platforms can focus on users. Based on the results of these tests, the platform can be put to good use according to the previously identified objectives.
References
Aasland, K. E. (2012). An analysis of the uses and properties of the Obeya.
Aasland, K. E. (2012). Virtualizing the Obeya. In NordDesign.
Bakas, O. (2023). Managing industry transitions in ETO: The case of yards intralogistics. 56th CIRP Conference on Manufacturing Systems (CIRP CMS ‘23), 120, 1369–1374.
Brito, E. C. D. D. (2018). Practical update on presenting health data in an effective way. European Journal of Public Health, 28(Suppl. 4), 306.
Diehl, C. (2022). Defining recommendations to guide user interface design: Multi-method approach. JMIR Human Factors, 9(3), 1–12.
Emmanouilidis, C. (2018). Taking the LEAP: The methods and tools of the Linked Engineering and Manufacturing Platform (LEAP). Production Planning & Control: The Management of Operations.
Gualtieri, L. (2023). Guidelines for the integration of cognitive ergonomics in the design of human-centered and collaborative robotics application. 56th CIRP Conference on Manufacturing Systems, 374–379.
Hugo, J. V. (2017). Human factors principles in information dashboard design. NPIC & HMIT.
Javadi, S. (2013). Supporting production system development through the Obeya concept. IFIP Advances in Information and Communication Technology.
Kolko, J. (2011). Thoughts on interaction design (2nd ed.). Morgan Kaufmann.
Lewis, J. R. (2018). The System Usability Scale: Past, present, and future. International Journal of Human–Computer Interaction, 577–590.
Mapokgole, J., & Mbohwa, C. (2013). The art of managing production disruptions in pump industry through visual management. 6th IFAC Conference on Management and Control of Production and Logistics, 25–31.
Marchi, L. de A. (2022). Project Management in an Electrical Distribution Application Center.
Nguyen, H. (2019). Project Management-Electrical Installation of a 50MW Solar Power Plant.
Osterwalder, A., & Pigneur, Y. (2010). Business model generation (1st ed.). John Wiley & Sons.
Pokorná, J. (2015). Value Proposition Canvas: Identification of pains, gains, and customer jobs at farmers' markets. Agris On-Line Papers in Economics and Informatics, VII, 123–130.
Sauro, J., & Lewis, J. R. (2010). Average task times in usability tests: What to report. In CHI 2010: Usability Methods and New Domains (pp. 2347–2350).
Sharfina, Z., & Santoso, H. B. (2016). An Indonesian adaptation of the System Usability Scale. ICACSIS, 146–148.
Strandhagen, J. W. (2018). Operationalizing lean principles for lead time reduction in engineer-to-order (ETO) operations: A case study. IFAC PapersOnLine, 51(11), 128–133.
Tezel, A. (2016). Visual management in production management: A literature synthesis. Journal of Manufacturing Technology Management, 27(6), 766–799.
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