A likelihood‐based ORESTE method for failure mode and effect analysis (FMEA) based risk analysis problem under interval type‐2 fuzzy environment

Traditionally, in the automotive industry, the risk posed by failures in manufacturing is based on the conventional process failure mode and effect analysis. The market changes, as well as limited financial resources dedicated to business improvement, induce the need for employment of advanced management tools. The rating of failures is derived from the research using the suggested fuzzy classification method based on the Pareto analysis. It is assumed that the classification criterion should be determined as the product of the overall product choice and the risk priority numbers given by applying the traditional process failure mode and effect analysis. All the uncertainties that exist in the problem under consideration are represented by linguistic expressions that are modeled on the interval type-2 triangular fuzzy numbers. The overall product choice is based on a fuzzy analytical hierarchy process with interval type-2 triangular fuzzy numbers. The execution of management initiatives based on the priority of failures can result in the improvement of the manufacturing process and overall business efficiency. The proposed model is tested using real-life data from a single vehicle manufacturer operating in the Western Balkans and representing a part of a global automotive supply chain.

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An evaluation of ship investment in interval type-2 fuzzy environment

Journal of the Operational Research Society ◽

10.1080/01605682.2021.1944826 ◽

2021 ◽

pp. 1-19

Author(s):

Ercan Akan ◽

Sibel Bayar

Keyword(s):

Fuzzy Environment ◽

Interval Type

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A novel failure mode and effect analysis model for machine tool risk analysis

Reliability Engineering & System Safety ◽

10.1016/j.ress.2018.11.018 ◽

2019 ◽

Vol 183 ◽

pp. 173-183 ◽

Cited By ~ 39

Author(s):

Huai-Wei Lo ◽

James J.H. Liou ◽

Chun-Nen Huang ◽

Yen-Ching Chuang

Keyword(s):

Risk Analysis ◽

Machine Tool ◽

Failure Mode ◽

Analysis Model ◽

Effect Analysis

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An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection

Information Sciences ◽

10.1016/j.ins.2019.07.032 ◽

2019 ◽

Vol 504 ◽

pp. 546-560 ◽

Cited By ~ 4

Author(s):

Xiuzhi Sang ◽

Yingheng Zhou ◽

Xianyu Yu

Keyword(s):

Information Fusion ◽

Fusion Method ◽

Stock Selection ◽

Fuzzy Environment ◽

Interval Type ◽

Probability Information

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A novel navigational risk analysis method using interval type-2 fuzzy sets

Safety and Reliability – Safe Societies in a Changing World ◽

10.1201/9781351174664-212 ◽

2018 ◽

pp. 1689-1697

Author(s):

C.L. Fan ◽

D. Zhang ◽

J.F. Zhang ◽

H.J. Yao

Keyword(s):

Risk Analysis ◽

Fuzzy Sets ◽

Analysis Method ◽

Interval Type

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Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting

Kybernetes ◽

10.1108/k-02-2021-0152 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

İlker Gölcük

Keyword(s):

Failure Modes ◽

Fuzzy Inference ◽

Real Life ◽

Effect Analysis ◽

Inference System ◽

Content Type ◽

Proposed Model ◽

Interval Type

PurposeThis paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, which in turn, may cause a loss of information and valuable individual opinions. The proposed integrated IT2F-FMEA model aims to calculate risk priority numbers from the experts' evaluations and then fuse experts' judgments using a novel integrated model.Design/methodology/approachThis paper presents a novel failure mode and effect analysis (FMEA) model by integrating the fuzzy inference system, best-worst method (BWM) and weighted aggregated sum-product assessment (WASPAS) methods under interval type-2 fuzzy (IT2F) environment. The proposed FMEA approach utilizes the Mamdani-type IT2F inference system to calculate risk priority numbers. The individual FMEA results are combined by using integrated IT2F-BWM and IT2F-WASPAS methods.FindingsThe proposed model is implemented in a real-life case study in the furniture industry. According to the case study, fifteen failure modes are considered, and the proposed integrated method is used to prioritize the failure modes.Originality/valueMamdani-type singleton IT2F inference model is employed in the FMEA. Additionally, the proposed model allows experts to construct their membership functions and fuzzy rules to capitalize on the experience and knowledge of the experts. The proposed group FMEA model aggregates experts' judgments by using IT2F-BWM and IT2F-WASPAS methods. The proposed model is implemented in a real-life case study in the furniture company.

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