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Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems

Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems

Irem Ucal Sari, Eliz Cafer, Umut Ak
Copyright: © 2021 |Pages: 17
ISBN13: 9781799885481|ISBN10: 1799885488|EISBN13: 9781799886075
DOI: 10.4018/978-1-7998-8548-1.ch038
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MLA

Sari, Irem Ucal, et al. "Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems." Research Anthology on Cross-Industry Challenges of Industry 4.0, edited by Information Resources Management Association, IGI Global, 2021, pp. 755-771. https://doi.org/10.4018/978-1-7998-8548-1.ch038

APA

Sari, I. U., Cafer, E., & Ak, U. (2021). Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems. In I. Management Association (Ed.), Research Anthology on Cross-Industry Challenges of Industry 4.0 (pp. 755-771). IGI Global. https://doi.org/10.4018/978-1-7998-8548-1.ch038

Chicago

Sari, Irem Ucal, Eliz Cafer, and Umut Ak. "Feasibility Analysis of Industry 4.0 Projects and an Application in Automotive Maintenance Systems." In Research Anthology on Cross-Industry Challenges of Industry 4.0, edited by Information Resources Management Association, 755-771. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8548-1.ch038

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Abstract

In this chapter, general feasibility analysis steps are redefined for the Industry 4.0 projects. In addition to the traditional feasibility analysis steps, for Industry 4.0 projects, scenario analysis and decision trees are implemented to feasibility analysis that enables us to identify the outcomes of several scenarios for the risky parameters. At the end of the chapter, proposed feasibility analysis procedure is applied to an Industry 4.0 project. Utilization of internet of the things on an automotive maintenance service system is selected as the case study. In this project, the proposed system for the automotive maintenance service sector is a web-based application, which warns driver and maintenance service provider at the same time before the failure happens and by this way enables drivers to have the maintenance before the failure occurs. The versions of the proposed system are analyzed, and the best version is selected at the end of the analysis.

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