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Applying Conceptual Modeling and Failure Data Analysis for "Actual Need" Exploration: Case Study for an Automated Parking System

Authors:
Haytham B. Ali
Gerrit Muller
Fahim A. Salim

Keywords: Conceptual modeling; failure data analysis; case study; actual need; value proposition.

Abstract:
In complex sociotechnical research, organizations tend to plan to implement new technologies or solutions which may not fully address the actual need. This study demonstrates the use of conceptual modeling to explore an industry's "actual need" through a case study for a medium-sized company that delivers Automated Parking System (APS). Company plans the introduction of Condition-Based Maintenance (CBM). Conceptual modeling facilitated the exploration of the Company's actual need behind the plan, which is increasing APS reliability. We collected failure data to understand APS reliability in this context. We find that the combination of conceptual modeling and data analysis facilitates exploring and understanding the Company's actual need. The conceptual modeling supports communication and understanding, while the data analysis guides the modeling. This study concludes with suggestions regarding using a combination of data analysis and conceptual modeling as a short-term vision to increase the system’s reliability. On the other hand, this short-term vision may support the CBM as a long-term vision.

Pages: 27 to 34

Copyright: Copyright (c) IARIA, 2022

Publication date: July 24, 2022

Published in: conference

ISBN: 978-1-68558-021-6

Location: Nice, France

Dates: from July 24, 2022 to July 28, 2022