**3. Conclusions**

In this work, the deployment of recent technological advances relating to the fourth industrial revolution particularly the use of robotic and additive manufacturing solutions for mass production in the rail industry was discussed. A dual arm, 12-axis welding robot with advance sensors, camera and algorithm as well as intelligent control system was designed in the Solidworks 2017 environment and simulated using the adaptive neuro-fuzzy interference system (ANFIS) in order to evaluate the performance of the robot and determine the kinematic motion of the robotic arm. The simulation results showed the smooth motion of the robot and its suitability to carry out the welding operations for mass production of components during rail car manufacturing. In addition, the prospects of additive manufacturing for mass production in the rail manufacturing industry can be harnessed due to its ability to fabricate several physical models directly from digital data through additive manufacturing. This is a key factor in ensuring mass production and rapid product development cycle.

**165**

**Author details**

Daniyan Ilesanmi1

and Nwankwo Samuel<sup>2</sup>

Pretoria, South Africa

University, Ado Ekiti, Nigeria

provided the original work is properly cited.

\*, Oyesola Moses1

\*Address all correspondence to: afolabiilesanmi@yahoo.com

, Mpofu Khumbulani1

1 Department of Industrial Engineering, Tshwane University of Technology,

2 Department of Mechanical and Mechatronics Engineering, Afe Babalola

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*Application of the Fourth Industrial Revolution for High Volume Production in the Rail Car…*

Furthermore, the deployment of virtual and augmented reality (VAR), with machine vision and light-based communication technologies (LiFi); artificial intelligence (AI) and digital solutions in rail car manufacturing as well as monitoring systems with low-cost sensor networks and smart algorithms are will boost mass production, cost effectiveness, process improvement, reliability and safety in the railway industry. It will also make the supply chain faster and flexible with attendant increase in productivity and efficiency due to access to real time data, digital business models and virtual simulation tools. This will also bring about significant improvement in the developmental stages of the rolling stock, which encompasses

*DOI: http://dx.doi.org/10.5772/intechopen.88703*

design, fabrication and optimization.

**4. Recommendations**

*Application of the Fourth Industrial Revolution for High Volume Production in the Rail Car… DOI: http://dx.doi.org/10.5772/intechopen.88703*
