Failure mode and effect analysis with extended grey relational analysis method in cloud setting

Liu, Hu‐Chen; Wang, Li‐En; You, Xiao‐Yue; Wu, Song‐Man

doi:10.1080/14783363.2017.1337506

Cited by 66 publications

(30 citation statements)

References 50 publications

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“…Findings suggest there is a need to explore the connection of cyber-physical systems to the IoT to support smart remanufacturing, whilst aligning with evolving information and communication infrastructures and circular economy business models. Liu et al present failure modes and effects analysis (FMEA) as a useful technique for managing quality that is used in various industrial sectors for increasing the reliability and security of systems, products, processes, and services [14]. And yet traditional FMEA was criticized for numerous internal defects when evaluating failure modes and identifying risk factors and the order of failure modes that weaken its accuracy and effectiveness during application.…”

Section: Resultsmentioning

confidence: 99%

Global communication environment For B2B markets

Hes

2020

SHS Web Conf.

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Currently, there is an unprecedented development of modern communication technologies in B2B markets. In the context of Industry 4.0, globalization influences are increasingly reflected in the new information technologies that are becoming the domain of communication in B2B markets. The manufacturing environment is shaped by the ability to work with Big Data Analysis, use computer simulation tools and augmented reality and today’s phenomenon is evolving in the processing and business environment - linking the Internet of Things, Services and People to Potential production environment. An important role in this global interconnection of both manufacturing and processing - business environments is played by the communication conditions determined by sufficient capacity computing power. One of the real preconditions for B2B markets is to make full use of the cloud-based platform based on the establishment of dedicated data centres with the possibility of using high level of Service Level Agreement for B2B business partners. The paper deals with the evaluation and analysis of the possibilities of digitalization development in the company space, to examine the new global communication environment by using cloud computing and its impact on the quality of information service for customers. The influence of intercultural communication on the behaviour of business partners is examined.

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Section: Resultsmentioning

confidence: 99%

Global communication environment For B2B markets

Hes

2020

SHS Web Conf.

View full text Add to dashboard Cite

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“…Liu et al 20 proposed a new FMEA model combining the cloud model theory with extended gray relational analysis (GRA). This is an imprecision and partial ranking technique that can produce more accurate fuzzy RPNs and enhance the reliability of the evaluation process under uncertainty.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Helvacioglu and Ozen 19 overcame the shortcomings of the uncertainty and subjectivity of FMEA based on the fuzzy multiattribute team decisionmaking (FMAGDM) method, in which its performance was illustrated through a yacht system design case. Liu et al 20 proposed a new FMEA model combining the cloud model theory with extended gray relational analysis (GRA). They expressed uncertain linguistic assessments given by experts based on a cloud model and obtained the risk priority of the failure modes by the extended GRA.…”

Section: Literature Reviewmentioning

confidence: 99%

An interval probability‐based FMEA model for risk assessment: A real‐world case

Ouyang

Zheng

Zhu

et al. 2019

Quality & Reliability Eng

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Failure mode and effect analysis (FMEA) is an effective quality tool to eliminate the risks and enhance the stability and safety in the fields of manufacturing and service industry. Nevertheless, the conventional FMEA has been criticized for its drawbacks in the evaluation process of risk factors or the determination of risk priority number (RPN), which may lead to inaccurate evaluation results. Therefore, in this paper, we develop a novel FMEA method based on rough set and interval probability theories. The rough set theory is adopted to manipulate the subjectivity and uncertainty of experts' assessment and convert the evaluation values of risk factors into interval numbers. Meanwhile, the interval exponential RPN (ERPN) is used to replace the traditional RPN due to its superior properties, eg, solving the problems of duplicate numbers and discontinuity of RPN values. Furthermore, an interval probability comparison method is proposed to rank the risk priority of each failure mode for avoiding the information loss in the calculation process of RPN. Finally, a real case study is presented, and the comparison analysis among different FMEA methods is conducted to demonstrate the reliability and effectiveness of the proposed FMEA method.

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“…On the other hand, to improve the performance of FMEA in the prioritization of failure modes, many studies considered MCDM techniques for developing new risk priority algorithms. Some important MCDM methods used in FMEA include the TOPSIS, the VIKOR, the gray relational analysis (GRA), and the weighted aggregated sum product assessment (WASPAS) . Currently, MCDM methods can be divided into two categories: the ones based on complete rationality and the ones based on bounded rationality.…”

Section: Literature Reviewmentioning

confidence: 99%

A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development

Wang

Liu

et al. 2019

Quality & Reliability Eng

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Failure mode and effects analysis (FMEA) is a widely used risk management technique for identifying the potential failures from a system, design, or process and determining the most serious ones for risk reduction. Nonetheless, the traditional FMEA method has been criticized for having many deficiencies.Further, in the real world, FMEA team members are usually bounded rationality, and thus, their psychological behaviors should be considered. In response, this study presents a novel risk priority model for FMEA by using interval twotuple linguistic variables and an integrated multicriteria decision-making (MCDM) method. The interval two-tuple linguistic variables are used to capture FMEA team members' diverse assessments on the risk of failure modes and the weights of risk factors. An integrated MCDM method based on regret theory and TODIM (an acronym in Portuguese for interactive MCDM) is developed to prioritize failure modes taking experts' psychological behaviors into account. Finally, an illustrative example regarding medical product development is included to verify the feasibility and effectiveness of the proposed FMEA. By comparing with other existing methods, the proposed linguistic FMEA approach is shown to be more advantageous in ranking failure modes under the uncertain and complex environment.KEYWORDS failure mode and effects analysis (FMEA), interval two-tuple, medical product development, regret theory, TODIM method

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Failure mode and effect analysis with extended grey relational analysis method in cloud setting

Cited by 66 publications

References 50 publications

Global communication environment For B2B markets

Global communication environment For B2B markets

An interval probability‐based FMEA model for risk assessment: A real‐world case

A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development

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