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A fuzzy expected value-based goal programing model for product planning using quality function deployment

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Product planning is one of four important processes in new product development using quality function deployment (QFD), which is a widely used customer-driven approach. In this article, a hierarchical framework for product planning using QFD is developed. To tackle the fuzziness in functional relationships between customer requirements and engineering characteristics (ECs) in product planning, the least squares method is incorporated into fuzzy regression to investigate those functional relationships, by which a more central tendency can be obtained. Furthermore, a fuzzy expected value-based goal programing model is proposed to specify target values of ECs. Different from some fuzzy product planning approaches for QFD, the proposed programing model has unambiguous interpretations. An illustrated example of a quality improvement problem of emulsification dynamite-packing machine design is given to demonstrate the application and performance of the proposed approach. © 2005 Taylor & Francis.
    Original languageEnglish
    Pages (from-to)633-647
    JournalEngineering Optimization
    Volume37
    Issue number6
    DOIs
    Publication statusPublished - Sept 2005

    Research Keywords

    • Fuzzy linear regression
    • Least squares regression
    • Product planning
    • Quality function deployment

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