Author/Authors :
Baro Tijerina, Manuel Industrial and Technology Department - Instituto Tecnológico Superior de Nuevo Casas Grandes, Casas Grandes, México , Román Piña Monarrez, Manuel Industrial and Manufacturing Department - Institute of Engineering and Technology - Autonomous University of Ciudad Juarez; Ciudad Juarez, Mexico
Abstract :
With technological advances, companies are allowed to integrate digital data, physical supplies, and human resources, and all
this integration capability can be done thanks to Industry 4.0. This concept, also called the fourth industrial revolution, refers to smart
companies that work with intelligent cyber-physical systems. Industry 4.0enables automation, data interchange, and big data
processing, among others. Then, the process decision-making, efficiency, and productivity improvement for companies will become
faster and more accurate, thanks to real-time data processes and all supply chain integration allowed by Industry 4.0. However, the
implementation of Industry 4.0 carries several challenges for companies to have success in the transformation of a normal industry
into an Industry 4.0, like the necessity of adding new hardware, software, and other technologic devices. Because of this, the
implementation and control of Industry 4.0 come with new issues to handle and new failure modes for both hardware and electronic
devices. These problems can be faced using reliability engineering tools. Then the object of this research is the use of reliability
engineering methodology stress-strength Weibull analysis, highlighting that the behavior of frequency emitted by electronics devices
follows a Weibull distribution most of the time. Also, a stress-strength Weibull with a different shape parameter close solution is
presented to increase the efficiency and productivity in Industry 4.0 electronic devices.
Keywords :
Reliability engineering , Industry 4.0 , Big data , Weibull distribution