A remanufacturing process optimization method based on integrated fuzzy QFD and FMEA

Shi, Junli; Ren, Ming; Shu, Fangli; Xu, Huanhuan; Cui, Jipei

doi:10.1007/s13243-022-00123-8

Cited by 4 publications

(4 citation statements)

References 31 publications

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“…There exist several types of fuzzy numbers, however, the triangular fuzzy number (TFN) is the most widely adopted among the various shapes of fuzzy numbers [ 60 ]. The following section outlines the necessary conditions for fuzzy numbers that will be utilized in the upcoming sections.…”

Section: Methodsmentioning

confidence: 99%

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA

Sabripoor,

Ghousi,

Najafi

et al. 2024

PLoS ONE

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Nowadays, most fatal diseases are attributed to the malfunction of bodily. Sometimes organ transplantation is the only possible therapy, for instance for patients with end-stage liver diseases, and the preferred treatment, for instance for patients with end-stage renal diseases. However, this surgical procedure comes with inherent risks and effectively managing these risks to minimize the likelihood of complications arising from organ transplantation (maximizing life years from transplant and quality-adjusted life years) is crucial. To facilitate this process, risk ranking is used to identify and promptly address potential risks. Over recent years, considerable efforts have been made, and various approaches have been proposed to enhance Failure Modes and Effects Analysis (FMEA). In this study, taking into account the uncertainty in linguistic variables (F-FMEA), we introduce an approach based on Fuzzy Multi Criteria Decision Making (F-MCDM) for effectively evaluating scenarios and initial failure hazards. Nevertheless, the results of ranking failure modes generated by different MCDM methods may vary. This study is a retrospective study that suggests a comprehensive unified risk assessment model, integrating multiple techniques to produce a more inclusive ranking of failure modes. Exploring a broad spectrum of risks associated with organ transplant operations, we identified 20 principal hazards with the assistance of literature and experts. We developed a questionnaire to examine the impact of various critical factors on the survival of transplanted organs, such as irregularities in immunosuppressive drug consumption, inappropriate dietary habits, psychological disorders, engaging in strenuous activities post-transplant, neglecting quarantine regulations, and other design-related factors. Subsequently, we analyzed the severity of their effects on the durability of transplanted organs. Utilizing the Mamdani algorithm as a fuzzy inference engine and the Center of Gravity algorithm for tooling, we expressed the probability and severity of each risk. Finally, the failure mode ranking obtained from the F-FMEA method, three fuzzy MCDM methods, and the proposed combined method were identified. Additionally, the results obtained from various methods were evaluated by an expert team, demonstrating that the highest consistency and effectiveness among different methods are attributed to the proposed method, as it achieved a 91.67% agreement with expert opinions.

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Section: Methodsmentioning

confidence: 99%

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA

Sabripoor,

Ghousi,

Najafi

et al. 2024

PLoS ONE

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“…This strategic application optimized resource allocation and testing protocols. Contributing to sustainable practices, Shi et al . (2023) presented a method for remanufacturing process optimization.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…This strategic application optimized resource allocation and testing protocols. Contributing to sustainable practices, Shi et al (2023) presented a method for remanufacturing process optimization. Integrating fuzzy QFD with FMEA, they devised strategies to enhance product life cycles effectively.…”

Section: Integrating Fuzzy Logic and Fmeamentioning

confidence: 99%

Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector

Resende,

Dedini,

Eckert

et al. 2023

IJQRM

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PurposeThis study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.Design/methodology/approachBased on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.FindingsThe results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.Practical implicationsThis study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.Originality/valueThis paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.

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“…Currently, some studies have analyzed the relationship between remanufacturing process and performance, cost, and carbon emission. Existing research has mainly focused on remanufacturing process optimization from sustainability aspects [14], the optimization of remanufacturing process routes oriented toward eco-efficiency [15], an integrated optimization control method for the remanufacturing assembly system [16], and multiprocess-routes-based re-manufacturability assessment [17]. These studies investigated the impact of remanufacturing processes on factors such as quality, cost, and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

Ke,

Chen,

Gan

et al. 2024

Processes

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The design for the remanufacturing process (DFRP) is a key part of remanufacturing, which directly affects the cost, performance, and carbon emission of used product remanufacturing. However, used parts have various failure forms and defects, which make it hard to rapidly generate the remanufacturing process scheme for simultaneously satisfying remanufacturing requirements regarding cost, performance, and carbon emissions. This causes remanufactured products to lose their energy-saving and emission-reduction benefits. To this end, this paper proposes an integrated design method for the used product remanufacturing process based on the multi-objective optimization model. Firstly, an integrated DFRP framework is constructed, including design information acquisition, the virtual model construction of DFRP solutions, and the multi-objective optimization of the remanufacturing process scheme. Then, the design matrix, sensitivity analysis, and least squares are applied to construct the mapping models between performance, carbon emissions, cost, and remanufacturing process parameters. Meanwhile, a DFRP multi-objective optimization model with performance, carbon emission, and cost as the design objectives is established, and a teaching–learning based adaptive optimization algorithm is employed to solve the optimization model to acquire a DFRP solution satisfying the target information. Finally, the feasibility of the method is verified by the DFRP of the turbine blade as an example. The results show that the optimized remanufacturing process parameters reduce carbon emissions by 11.7% and remanufacturing cost by USD 0.052 compared with the original process parameters, and also improve the tensile strength of the turbine blades, which also indicates that the DFPR method can effectively achieve energy saving and emission reduction and ensure the performance of the remanufactured products. This can greatly reduce the carbon emission credits of the large-scale remanufacturing industry and promote the global industry’s sustainable development; meanwhile, this study is useful for remanufacturing companies and provides remanufacturing process design methodology support.

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A remanufacturing process optimization method based on integrated fuzzy QFD and FMEA

Cited by 4 publications

References 31 publications

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA

Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector

An Integrated Design Method for Used Product Remanufacturing Process Based on Multi-Objective Optimization Model

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