dP-FMEA: An innovative <i>Failure Mode and Effects Analysis</i> for distributed manufacturing processes

Maisano, Domenico Augusto Francesco; Franceschini, Fiorenzo; Antonelli, Dario

doi:10.1080/08982112.2020.1729991

Cited by 19 publications

(17 citation statements)

References 31 publications

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“…For instance, Braband 17,35 developed the ARPN with a very simple addition formula of risk factors, which results in the continuous integer values without holes and the low sensitive for risk factors. 20 In order to derive risk factors' weights, the AHP was used by Mzougui and Elfelsoufi 36 and Carmignani, 22 and the fuzzy AHP as an extension of AHP was used by Hu et al 37 Combining with risk factors' weights, a new ARPN 36,38 was proposed using the weighted sum of risk factors, which can be easily integrated with other important factors such as security and environment 36 as well as declaration statement and use frequency as severity. 37 Carmignani 22 calculated the risk level of a certain failure mode by the weighted summation of the ratio of the failure mode to all failure modes for each risk factor.…”

Section: Literature Reviewmentioning

confidence: 99%

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Wang

Ran

et al. 2021

Quality & Reliability Eng

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Failure mode and effects analysis is a widely applied risk assessment method in various engineering and management domains. However, the identification of failure modes is difficult and uncountable. Therefore, a function-motion-action (FMA) decomposition method is developed to identify failure modes from the perspective of motion and extraordinarily suitable for mechatronic products. In the typical risk assessment, the ranking orders of failure modes are determined by risk priority number (RPN), which has been criticized for several drawbacks and improved by some alternative RPNs, but some drawbacks still exist, such as duplicate values, narrow admissible value range, and missing failure modes' and risk factors' weights. This study formulates several alternative weighted RPNs to overcome the above drawbacks, and the final ranking orders of failure modes are garnered through the integrated RPN (IRPN). First, failure modes are identified via the proposed FMA decomposition method and evaluated with crisp values, whose weights are aggregated from the basic failure modes' weights. Second, the weights of the basic failure modes, risk factors and different RPN methods are derived from analytic hierarchy process. Third, the conditional weights of risk factors are determined by incorporating risk factors' weights and failure modes' conditional weights deduced from Shannon entropy. Next, several alternative weighted RPNs and IRPN are formulated to rank failure modes' risk levels. Finally, an illustrative example about computer numerical control machine center is presented to demonstrate the application and effectiveness of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Wang

Ran

et al. 2021

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Condition 1: Acceptable advantages: Q(A (2) ) − Q(A (1) ) ≥ 1/m -1, where A (2) is an alternative to the second in order by Q j .…”

Section: Calculate the Subjective Weightsmentioning

confidence: 99%

“…If only one condition is met, then a compromise is needed. When condition 1 is satisfied and condition 2 is not satisfied, then A (1) and A (2) are compromise solutions.…”

Section: Calculate the Subjective Weightsmentioning

confidence: 99%

“…. , A (m) are compromise solutions, which can be determined by the relation Q(A (2) ) −Q(A (1) ) < 1/m − 1, where m is the maximum value that satisfies this relation.…”

Section: Calculate the Subjective Weightsmentioning

confidence: 99%

“…Failure mode and effect analysis (FMEA) is used to analyze each subsystem or process in product or process design stage and determine potential failure modes for taking necessary precautionary measures. [1][2][3][4] FMEA was first proposed by the National Aeronautics and Space Administration in the 1960s and has been widely used in the risk analysis of automotive, aerospace, healthcare, and other fields because of its simplicity and high efficiency. 5,6 FMEA needs a cross-functional team composed of members with different specialties.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Yang

et al. 2021

Quality & Reliability Eng

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Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method.

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Ranking Aggregation Techniques

Franceschini

Maisano

Mastrogiacomo

2022

International Series in Operations Research &Amp; Management Science

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dP-FMEA: An innovative Failure Mode and Effects Analysis for distributed manufacturing processes

Cited by 19 publications

References 31 publications

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Ranking Aggregation Techniques

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