FMEA Using ITHWD Measure and Its Application to Blood Transfusion
In this chapter, we propose a new risk priority model using interval 2-tuple hybrid weighted distance (ITHWD) measure to solve the problems and improve the performance of the traditional FMEA method. The new model can not only handle the uncertainty and d
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FMEA Using ITHWD Measure and Its Application to Blood Transfusion
In this chapter, we propose a new risk priority model using interval 2-tuple hybrid weighted distance (ITHWD) measure to solve the problems and improve the performance of the traditional FMEA method. The new model can not only handle the uncertainty and diversity of FMEA team members’ risk assessments but also consider the subjective and objective weights of risk factors in the risk ranking process. Moreover, it has exact characteristic and can avoid information distortion and loss in the linguistic information processing. Finally, a case study of blood transfusion is provided to demonstrate the effectiveness and benefits of the proposed FMEA method.
3.1 Introduction FMEA is a reliability analysis technique used to define, identify, and eliminate known and/or potential failures, problems, and errors from a system, design, process, and/or service before they reach customers (Stamatis 2003). It consists of a methodology for examining all possible ways in which a system failure can occur, potential effects of failures on system performance and safety, and the seriousness of these effects (Zafiropoulos and Dialynas 2005). The main purposes of FMEA are to provide support information for making risk management decisions (Pillay and Wang 2003) that may enhance safety and reliability of a simple product or even complex systems (Liu et al. 2013a). Conventionally, failure modes are assessed based on three risk factors (O, S, and D) and ranked for corrective actions through the RPN method. The failures with higher RPNs are assumed to be more important and will be given higher priorities for corrections. Although the traditional FMEA is an attractive safety analysis technique, it has been criticized for having many shortcomings in the literature (Pillay and Wang 2003; Wang et al. 2009; Gargama and Chaturvedi 2011; Liu et al. 2014c; Anes et al. 2019; Liu et al. 2019), and the most important ones are as follows: (1) The relative importance among O, S, and D is not taken into consideration; (2) different combinations of risk factors may produce exactly © Springer Nature Singapore Pte Ltd. 2019 H.-C. Liu, Improved FMEA Methods for Proactive Healthcare Risk Analysis, https://doi.org/10.1007/978-981-13-6366-5_3
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3 FMEA Using ITHWD Measure and Its Application to Blood Transfusion
the same value of RPN, but their hidden risk implications may be totally different; (3) the three risk factors are difficult to be precisely estimated in real situations; (4) the mathematical formula for calculating RPN is questionable and debatable. To address the shortcomings of the conventional RPN method and enhance the assessment capability of FMEA, a variety of alternative methods have been suggested in the literature, such as gray relational analysis (GRA) (Chang et al. 2001), technique for order preference by similarity to ideal solution (TOPSIS) (Braglia et al. 2003), decision-making trial and evaluation laboratory (DEMATEL) (SeyedHosseini et al. 2006), rule-based system (
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