alexa Prioritizing Sensor Performance Characteristics for Automotive Seat Weight Sensors in Quality Function Deployment (QFD)
ISSN: 2167-7670

Advances in Automobile Engineering
Open Access

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Research Article

Prioritizing Sensor Performance Characteristics for Automotive Seat Weight Sensors in Quality Function Deployment (QFD)

Derya Haroglu1,2*, Nancy Powell1 and Abdel-Fattah M Seyam1

1College of Textiles, North Carolina State University, Raleigh, USA

2Department of Industrial Design Engineering, Erciyes University, Kayseri, Turkey

*Corresponding Author:
Derya Haroglu
Department of Industrial Design Engineering
Erciyes University, Kayseri, Turkey
Tel: +90 352 207 66 66
E-mail: [email protected]

Received date: November 02, 2016; Accepted date: November 28, 2016; Published date: December 03, 2016

Citation: Haroglu D, Powell N, Seyam AFM (2016) Prioritizing Sensor Performance Characteristics for Automotive Seat Weight Sensors in Quality Function Deployment (QFD). Adv Automob Eng 5:153. doi: 10.4172/2167-7670.1000153

Copyright: © 2016 Haroglu D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Quality function deployment (QFD), a key tool to convert the customer needs into product features, is generally integrated into the New Product Development (NPD) process at the design stage. Prioritizing customer needs in a QFD process leads to using the resources (time, money, and staffing) effectively by eliminating the unimportant customer needs. The overall goal of the research was to develop a textile-based optical fiber sensor for automotive seat occupancy. The findings of this paper were focused on the design of experiments in our previous publication. In this paper, a research study was conducted to better understand market demands in terms of sensor performance characteristics for automotive seat weight sensors, as a part of the QFD House of Quality (HOQ) analysis. A survey was sent to more than 20 companies operating in the field of automotive seat weight sensors, and Original Equipment Manufacturers (OEM) via e-mail. Only five companies participated in this study due to competitive concerns and confidentiality reasons. However, the companies responded to the survey were of quality relevant to the research and could be perceived as representative of the group of experts. All 5 companies participated in the survey agreed on the first 5 most important sensor characteristics: reproducibility, accuracy, selectivity, aging, and resolution, where The Analytic Hierarchy Process (AHP) was applied to prioritize the sensor characteristics.


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