AN APPROACH TOWARDS ADVANCED SCM SYSTEM THROUGH AI AND INDUSTRY 4.0

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e-ISSN: 2582-5208 International Research Journal of Modernization in Engineering Technology and Science Volume:03/Issue:03/March-2021

Impact Factor- 5.354

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AN APPROACH TOWARDS ADVANCED SCM SYSTEM THROUGH AI AND INDUSTRY 4.0 Pushpit Tiwari *1, Prof. Dr. Dinesh Shringi *2 *1Research

Scholar, Department of Mechanical Engineering, M.B.M. Engineering College, Jodhpur, Rajasthan, India. *2Professor and Head, Department of Mechanical Engineering, M.B.M. Engineering College, Jodhpur, Rajasthan, India.

ABSTRACT This research paper focuses on the study of the present utilization along with the technological implementation gap of AI and Industry 4.0 in SCM, by going through this research work we will be able to determine the potential of AI techniques that can enhance both the study and practice of SCM. This research paper will help us to understand the relation between Supply Chain 4.0 and Industry 4.0 along with the impact of their implementation on companies’ performance. This work explains the various concepts and definitions of SCM around global platforms, this also includes the discussion about the digitization of SCM process, use of AI, and Industry 4.0 concepts in all different sectors of industries. This provides us brief information about the first industrial revolution. The research methodology includes pilot research, Locating studies, and Study selection and evaluation. We also emphasize the concept of AI and Machine Learning in the field of supply chain management which will lead to improved productivity and responsiveness of the process. Keywords: SCM, AI, Industry 4.0, Supply Chain 4.0, Industrial Revolution, Artificial Intelligence.

I.

INTRODUCTION

SC 4.0 or Supply Chain 4.0 is the re-arrangement of design and planning, production process, distribution process, consumption, and reverse logistics in supply chains with the help of technologies that comes under the umbrella of “Industry 4.0”. Technologies, which emerged in the 21st century such as automation, big data, AI, etc are largely implemented by firms that prominent in terms of supply chain management in high-income countries. Recent developments such as big data, the Internet of Things (IoT), Industry 4.0, Artificial Intelligence (AI), and other digital technologies are transforming Supply Chains, allowing them to operate based on autonomous decisions analyzing collected data in real-time modus. Thus, granting access to previously inaccessible software solutions and new levels of automation. All major industries are pushed to explore new ways to digitize their operations due to the current situation in the world because of the pandemic of the covid-19 virus; this digital transformation is considered as a strategic weapon, Industry 4.0 and Smart Factory are the terms that are being used for digital transformation [1]. Industry 4.0 is the source of these new technologies, it includes additive manufacturing, advanced robotics, and robots, artificial intelligence, augmented reality, human-machine interfaces, machine-to-machine communication, blockchain, internet of thing, cloud-stored data, internet of services, digital transformation, autonomous vehicles, drones, etc [2]. The Industries which deals with automation and use automated industrial processes plays a important role in the growth and advancement of technological development and its application in various fields, despite that, there is requirement of more advanced research literature, only limited researches and writings that deal with SC 4.0 in this industry [3]. Real benefits are given to the plants where the industry 4.0 technologies are implemented, such as performance, improvement, costs, and delay reductions, most of these technologies could be implemented in the automotive factories and affect all of the processes within this type of industry such as production logistics, engineering industries, management, etc. [2]. The researches on SCM 4.0 is more Europe-centric at the moment this concept is researched in developed rather than emerging countries, the author concluded that the countries which are aware of the importance of www.irjmets.com

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