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A KE and FMEA based approach for library book transfer robot development

In the past, robot-related research is primarily focused on the functionality of robots, considering product aesthetics and images have been overlooked. So that we adopted a product image analysis used in Kansei Engineering(KE) to analyze consumers’ preferences regarding product design images and a Failure Mode and Effects Analysis(FMEA) for product design and production planning. An implementation of using Kansei Engineering and a Failure Mode and Effects Analysis to create mobile robot and help library to transfer books. | Journal of Automation and Control Engineering Vol. 6, No. 2, December 2018 A KE and FMEA Based Approach for Library Book Transfer Robot Development Shih-Wen Hsiao, Chien-Nan Wu Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan Email:swhsiao@mail.ncku.edu.tw, patricwu258@msn.com used the semantic differential (SD) method of Kansei Engineering to identify factors that satisfy consumer preferences, which can be used by designers to achieve an optimal product design. This study also adopted Failure Mode and Effects Analysis (FMEA) to evaluate the factors that cause product defects during production, thereby enabling product designs to reach perfection. Abstract—The return of the book is the most annoying task for library operations,This study designs and develops mobile robot to solve book transfer and collaboration. In the past, robot-related research is primarily focused on the functionality of robots, considering product aesthetics and images have been overlooked. So that we adopted a product image analysis used in Kansei Engineering(KE) to analyze consumers’ preferences regarding product design images and a Failure Mode and Effects Analysis(FMEA) for product design and production planning. An implementation of using Kansei Engineering and a Failure Mode and Effects Analysis to create mobile robot and help library to transfer books. II. A. Kansei Engineering Kansei Engineering is highly efficient for quantitatively evaluating user experiences. In designrelated experiments, Kansei Engineering can be applied to assess the emotional aspect of users’ needs for designing products that can closely meet user requirements[7]. The process of Kansei assessment involves engineers, designers, or users evaluating actual design processes for specific products or services by using perceptual or emotional words [8]. The major contribution of using Kansei Engineering in product design is that prior to entering the market, designers can grasp the