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    An artificial immune algorithm for ergonomic product classification using anthropometric measurements

    Tavana, M, Kazemi, MR, Vafadarnikjoo, A ORCID logoORCID: https://orcid.org/0000-0003-2147-6043 and Mobin, M (2016) An artificial immune algorithm for ergonomic product classification using anthropometric measurements. Measurement, 94. pp. 621-629. ISSN 0263-2241

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    Abstract

    © 2016 Elsevier Ltd Product classification using anthropometric measurements leads to ergonomic product design and user satisfaction. We propose an effective artificial immune algorithm (AIA) to classify ergonomic products with multi-criteria anthropometric measurements and tune the AIA parameters with a full factorial experimental design approach. We demonstrate the applicability and efficacy of the proposed algorithm by considering the anthropometric measurements of the hand, developing an ergonomic computer mouse, and classifying consumers into three categories. The resulting classifications are compared with expert opinions to facilitate the conformity of the computer mouse to user requirements.

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