Abstract:
The failure mode and effect analysis (FMEA) is a method to identify and
mitigate different problems in many manufacturing processes, its effectiveness is
questionable unless it is more closely linked to solve difficult problems. In addition, the
disruptions experienced in the production process are interrelated and cannot be
considered independently of each other. Instead, they are intertwined, and without
adequate attention to this relationship, research will reflect the accuracy of its
conclusions. It is therefore important to determine not only the significance of the faults,
but also the nature of the faults. This course includes the use of cloud modeling theory
and the evaluation of decision-making experiments and test models to meet the needs
of the business and overcome the limitations of traditional practices. Three
contributions of this approach are: First, using Cloud Model Theory to solve the
problem of random and uncertain decisions. Second, decision-making and trial
evaluation laboratory (DEMATEL) has been extended to consider cloud model
configuration to detect critical errors. Third, a case study is presented to demonstrate
the advantages and effectiveness of the approach. The integration of Cloud Model
Theory and DEMATEL reveals the novelty of this work by extending the failure model
and related analysis, realizing its applicability in the system production process. This
approach ensures that managers are aware of the biggest risk areas and take precautions
in advance. As a result, losses resulting from negative effects are minimized and
production processes become efficient and effective.
