Risk prioritization based on the combination of FMEA and dual hesitant fuzzy sets method

Abstract

The quality management processes seek to cope with changes in an increasingly complex and dynamic environment while ensuring that organizations are able to deliver products and services that comply and satisfy their customers (Fonseca, 2015). The ISO 9000 series of international standards has become an important reference and a key management structure for all types of organizations around the world (Fonseca & Domingues, 2017). The update of the ISO 9001: 2015 standard presents a thinking based on risk management and process-based approaches, which highlights the growing emphasis on risk management within quality management programs (Sitnikov et al., 2017).Failure Modes and Effects Analysis (FMEA) is one of the most well-known quality management tools used to deal with risk assessment in continuous improvement programs for products, processes, and services (Kumru & Kumru, 2013). The literature presents a large number of studies that apply the FMEA in several problems, such as: applications to reduce medical errors (

Penerapan Fmea Dan Fuzzy Fmea Dalam Penilaian Risiko Lean Waste Di Industri Manufaktur

“…FMEA juga dapat digunakan untuk meningkatkan proses dan meningkatkan kualitas produk di setiap tahap produksi (Hayati & Reza Abroshan, 2017). Mode kegagalan yang berbeda diprioritaskan berdasarkan occurance (O), severity (S), dan detection (D) yang akan menghasilkan Risk Priority Number (RPN) (Calache et al, 2021;Liu & Li, 2021). S merupakan tingkat keparahan dampak yang disebabkan oleh potential cause, O merupakan kemungkinan terjadinya potential failure dengan melihat potential cause, dan D adalah tingkat efektivitas prosedur deteksi yang bertujuan untuk mencegah potential failure (de Souza & Carpinetti, 2014).…”

“…Konsep fuzzy pada algoritma FMEA memberi kemungkinan bahwa data yang digunakan, berupa data linguistik maupun data numerik, pada setiap datanya akan mempunyai nilai keanggotaan pada setiap atributnya (Laali, 2021). Pendekatan fuzzy FMEA adalah fondasi terbaik untuk mendapatkan tanggapan yang akurat (Calache et al, 2021;Gargama & Chaturvedi, 2011).…”

“…SOP merupakan pedoman atau acuan berupa dokumen tertulis bagi tenaga kerja untuk melaksanakan tugas dan pekerjaannya dapat terkontrol secara sistematis (Taufiq, 2019). Kegiatan di perusahaan dapat dilaksanakan dengan baik sesuai kemauan perusahaan apabila tersedia SOP (Calache et al, 2021;Gabriele, 2018). Perusahaan telah memiliki SOP bagi setiap departemennya, namun SOP belum dilaksanakan dengan baik.…”

Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System

“…The following systematic review [3] of papers on this topic, produced in the period between 1998 and 2018, points to a very quick increase in annual publications on FMEA improvement in the past two decades, after the publication of the review article by the above mentioned authors in 2013. The majority of papers selected the fuzzy logic system in an attempt to eliminate the disadvantages of the traditional FMEA based on "if-then" rules formed in fuzzy inference system (FIS) and improve upon calculated fuzzy RPN and risk prioritization, for example, for milling machines [4,5], environmental waste water treatment plant [6], automotive industry [7,8] and other industries [9][10][11][12][13][14][15]. For determining risk levels and prioritizing mitigation action for the risks, some authors have taken into account additional variables, for example, costs based on economic impact [16][17][18] or impact of assets, people, environment and/or reputation [19,20].…”