A Multicriteria Selection Model for Developing New Color Calibration Device

Ying-Chieh Fang, Chiuh-Cheng Chyu

Abstract


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.

 

DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4799


Keywords


fuzzy Kano model; analytic network process; medical display monitor; color calibration device; GRA

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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