Stress-Strength Weibull Analysis Applied to Estimate Reliability Index in Industry 4.0

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.

What is Industry 4.0: a Review of the Literature Using the Conceptual Bibliographic Method

“…The semantic grouping organization was created with the meaning that Industry 4.0 is the driving force in human groupings that have at least one objective in common. This phenomenon shows its more significant potential in organizations, as shown by studies by Baro-Tijerina et al (2021) and , considering that the types and forms of organizations are practically infinite, both in formal and informal forms. However, factories (Câmara, 2020) are the producing and radiating center of Industry 4.0 transformations.…”

“…The first group formed procedures. This grouping specifies that Industry 4.0 is structured into a set of procedures (Bataglini, 2021;Checa & Alvarado, 2018;Steffens, 2020), procedures that are also present in organizational processes (Gonçalves et al, 2022) and projects (Ferreira, 2019) and control (Baro-Tijerina et al, 2021;. The conception of procedure concerns the specification of how a given idea or project should be materialized, something like a rule that considers that what is going to be done will serve as input for another project or idea, and so on.…”

“…The study by Baro-Tijerina et al (2021) shows that Industry 4.0 tends to exert a new reorganization and level of control over the entire value chain. The study by Ivascu (2020) presents the concepts of value applied to technology combinations that can be applied to The third semantic grouping created was market.…”

Monitoreo de la confiabilidad del sistema hombre-máquina del área de mecanizado mediante la distribución de Weibull

“…If how the system evolved is not deterministic, but caused by some random mechanism, then X t can be a random variable for each value of the index t. This collection of random variables is the definition of a stochastic process and serves as a model to represent the random evolution of a system over time [2]. In general, the random variables that make up a process are not independent of each other but are related to each other in some particular way [3]. A continuous random variable can take any value in an interval and it is represented by a set of real numbers.…”