Using Statistical Model of Failure Mode Effect Analysis for Risk Factors in Industrial Logistics

The paper presents Six-Sigma methodologies, which is powerful method for increasing quality and development of manufacturing, by understanding risk factors, can suggest proper and thoughtful decision-making that may protect the business plan from causes. This study examines a framework of improved performance under the possible influence of different failure modes. Econometric verification presents statistical assumptions for the application of estimated procedures in the area of logistics, especially in the area of industrial logistics. The statistical method for the methodology is to test statistical reliability and the significance of estimated parameters for the analysis of numerical values of risk priority.

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