A Multicriteria Selection Model for Developing New Color Calibration Device

نویسندگان

  • Ying-Chieh Fang
  • Chiuh-Cheng Chyu
چکیده

Color Calibration Device is a key component for the performance of Medical Display Monitor (MDM). MDMs have been extensively used in hospitals in the past decades. The technological requirements of MDMs are higher than those of general purpose display monitors, but the gross profit margins of MDMS are larger as well. The purpose of this research is to build a hybrid multiple criteria decision making (MCDM) model useful in developing new color calibration device for the MDM industry. The proposed MCDM model uses fuzzy Kano method to filter the performance criteria, and then apply the analytic network process (ANP) in selecting the best alternative among three new products. In this study, gray relation analysis (GRA) is used to build a relations-structure for ANP criteria. The paper also presents a case study on model implementation in a LCD high-tech company.

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تاریخ انتشار 2013