The technological evolution of manufacturing systems and statistical science
Abstract
Since the first industrial revolution, manufacturing systems have continuously evolved from the development of concepts to the methods, tools, and technologies available to produce goods or services. One of the main characteristics of the fourth industrial revolution has been the development and application of information and communication technologies permeating all manufacturing systems, which has caused the generation of large volumes of data. These developments are changing the nature of applying Statistical Science. This manuscript aims to provide a general description of the technological evolution of the industrial revolutions and statistics through a qualitative description of a bibliographic and documentary nature to identify how manufacturing systems have evolved and how statistics are becoming involved in the fourth industrial revolution. This analysis shows that the transition from industrial revolutions was due to the massive implementation of technological and scientific innovations that were implemented in the different manufacturing systems. From the context of statistics, the fourth industrial revolution has created new technological and scientific trends to collect, organize, and analyze data. From the perspective of the data itself, it is shown that machine learning, operations research, methods and algorithms, and data mining, and big data techniques are aligned to address new challenges characterized by the complexity, volume, and complexity heterogeneous nature of the data.
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