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Industry 4.0: Skills & Up Skilling for the Future Employment in Manufacturing Industries


Affiliations
1 Asst Professor, JSPM’s, JIMS, Pune, Research Scholar at Neville Wadia Institute of Management Studies & Research, Pune, India
2 Research Guide- Commerce & Management - Neville Wadia Institute of Management Studies & Research, Pune, India
 

Today manufacturing industries are changing rapidly by implementing & adopting new technology like Industry 4.0. The Industry 4.0 comprises of cyber physical system, IoT, Artificial Intelligence, Big data, cloud computing, Robotics, Augmented reality and additive manufacturing to convert the present factory into smart factory. Therefore organization need to update themselves with current and most demanding skill sets by acquiring new technology. In this scenario traditional skill sets are important but adopting new technology and skills to the existing employees becomes more challenging & crucial. Up skilling is the technique of imparting and learning new skills, methods & techniques to improve work environment. This will ensure the employees to acquire the latest skills for better prospect considering the demand of the industry. Current research study will be conducted on analysing the future demand of employment in manufacturing industries with emergence of Industry 4.0 and its effect on employee skills. This paper will try to highlight on skill requirement in Industry 4.0 technology landscape & up skilling will help the industries to cope up with future employment. This study will be of descriptive in nature. Survey will be conducted to collect the primary data. Secondary data from various research papers, journals and research articles. Purposive sampling method will be applied. Data analysis will be conducted using statistical software (SPSS) and suitable recommendations will be provided.

Keywords

Industry 4.0, Skills, Up Skilling, Employment, Upgrading Skills, Education, Skill Sets
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Abstract Views: 200

PDF Views: 80




  • Industry 4.0: Skills & Up Skilling for the Future Employment in Manufacturing Industries

Abstract Views: 200  |  PDF Views: 80

Authors

Prof. Shamsunder Malgikar
Asst Professor, JSPM’s, JIMS, Pune, Research Scholar at Neville Wadia Institute of Management Studies & Research, Pune, India
Dr. Laxman Shitole
Research Guide- Commerce & Management - Neville Wadia Institute of Management Studies & Research, Pune, India

Abstract


Today manufacturing industries are changing rapidly by implementing & adopting new technology like Industry 4.0. The Industry 4.0 comprises of cyber physical system, IoT, Artificial Intelligence, Big data, cloud computing, Robotics, Augmented reality and additive manufacturing to convert the present factory into smart factory. Therefore organization need to update themselves with current and most demanding skill sets by acquiring new technology. In this scenario traditional skill sets are important but adopting new technology and skills to the existing employees becomes more challenging & crucial. Up skilling is the technique of imparting and learning new skills, methods & techniques to improve work environment. This will ensure the employees to acquire the latest skills for better prospect considering the demand of the industry. Current research study will be conducted on analysing the future demand of employment in manufacturing industries with emergence of Industry 4.0 and its effect on employee skills. This paper will try to highlight on skill requirement in Industry 4.0 technology landscape & up skilling will help the industries to cope up with future employment. This study will be of descriptive in nature. Survey will be conducted to collect the primary data. Secondary data from various research papers, journals and research articles. Purposive sampling method will be applied. Data analysis will be conducted using statistical software (SPSS) and suitable recommendations will be provided.

Keywords


Industry 4.0, Skills, Up Skilling, Employment, Upgrading Skills, Education, Skill Sets

References





DOI: https://doi.org/10.17697/ibmrd%2F2022%2Fv11i2%2F172621