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Industry 4.0 from the MIS Perspective

Edited By Sevinc Gülseçen, Zerrin Ayvaz Reis, Murat Gezer and Çiğdem Erol

Nowadays, an end-to-end industrial transformation called Industry 4.0 sets new goals for manufacturing and impacts on business outcomes. With some of its characteristic elements such as IoT (Internet of Things), digital twin simulation models, advanced robots, big data analytics, and virtual/augmented reality, Industry 4.0 is «de facto» going further. The book aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of Management Information Systems (MIS) with the scope of Industry 4.0. The strategic role of Industry 4.0 in the distributed business environment and the necessity to protect and properly utilize its key elements at different levels of organizations as well as in society are discussed.

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Vehicle Sales Prediction Using Neural Fuzzy Logic Method in Industry 4.0 (Umut Kaya / Atınç Yılmaz / Kadir Keskin)


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Umut Kaya, Atınç Yılmaz* and Kadir Keskin

Vehicle Sales Prediction Using Neural Fuzzy Logic Method in Industry 4.0

1.  Introduction

There have been three main revolutions in the industrial sector since the 18th century. The first one is the usage of steam-powered machines, the second one is the mass production of Ford in automobile industry and the last one is the development of Internet technologies and usage of computer-controlled systems. Every revolution has changed the whole business world structures in that time, respectively (URL1).

With the occurrence of rapid technological developments and the industrial revolutions, the human factors are tried to be eliminated or it is aimed to make these work machines to remove the mistakes originating from the people.

The greatest example of this is the industrial revolution, Industry 4.0. The interaction of machine with Industry 4.0 is evident, and the next generation of intelligent machines is manifesting in the whole realm of human life.

The automotive sector is a large industrial sector that deals with many industries in the field of economy and industry all over the world, and it is a continuously growing sector. For countries, the automotive sector is one of the parameters for development. Wang and colleagues, using neural fuzzy logic and artificial neural networks for predicting automobile sales in Taiwan, have shown that the neural fuzzy logic model yields better results (Wang et al., 2011). According...

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