FMEA Using ITL-ELECTRE Approach and Its Application to Proton Beam Radiotherapy
In this chapter, we describe the application of an ELimination Et Choix Traduisant la REalité (ELECTRE)-based outranking approach for FMEA within the interval 2-tuple linguistic environment. Considering different types of FMEA team members’ assessment inf
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FMEA Using ITL-ELECTRE Approach and Its Application to Proton Beam Radiotherapy
In this chapter, we describe the application of an ELimination Et Choix Traduisant la REalité (ELECTRE)-based outranking approach for FMEA within the interval 2tuple linguistic environment. Considering different types of FMEA team members’ assessment information, we employ a hybrid weighted averaging (HWA) to construct the group assessment matrix and use a modified ELECTRE method to analyze the group interval 2-tuple linguistic data. Furthermore, the new risk ranking model deals with the subjective and objective weights of risk factors concurrently, considering the degree of importance that each concept has in the risk analysis. The practicality and applicability of the proposed FMEA method are demonstrated by applying it to a risk evaluation problem of proton beam radiotherapy and further validated by a comparative study with some existing FMEA models.
5.1 Introduction FMEA is a widely used proactive reliability analysis tool for identifying, prioritizing and eliminating known and/or potential failures, problems, errors, and so on from systems, designs, processes, and/or services before they occur (Stamatis 2003). The main objective of FMEA is to allow risk analysts to identify where and how a specific product or system might fail and to assess the frequency, effects and potential causes of different failure modes, in order to determine which failures should be removed first. Since its appearance, FMEA has been applied to product design and production process in the context of concurrent engineering and has become an integral tool in Six Sigma process improvement (Wu et al. 2010; Inman et al. 2013; Liu et al. 2018a). As a result of its application, FMEA helps to transform past design experience into the ability to foresee future problems and to avoid or mitigate them at the early stages of the design. Properly done, FMEA can anticipate and prevent failures, reduce costs, shorten product development cycle, and improve the reliability, quality, and safety of systems, products, and services. © 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_5
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5 FMEA Using ITL-ELECTRE Approach and Its Application to Proton …
Although FMEA method proves to be the most prevalent early preventative approach, it still suffers from a lot of deficiencies, as pointed out in (Franceschini and Galetto 2001; Pillay and Wang 2003; Liu et al. 2013a, 2014a, 2018b; Zhang et al. 2018). To address the shortcomings of the traditional FMEA, many useful and valuable developments have been demonstrated in the literature. However, to the best of our knowledge, no research has applied the ELECTRE (Roy and Vincke 1981; Roy 1991), a prominent outranking multiple criteria decision-making (MCDM) technique, to FMEA. The purpose of this chapter is to propose an integrated FMEA approach to surmount the problems associated with the traditional FMEA and improve its per
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