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Original Article

The Role of Employee Engagement in Enhancing Operational Efficiency in Manufacturing Plants

  • Paper ID 982
  • Volume 6, Issue 5
  • Pages 30-34
  • Published Online: September-October 2025
  • 3 Views
Open Access Peer Reviewed

Authors

  • Anil Kumar K C1
  • Soumya Nagaraj Gouda2

1Assistant Professor, Department of Management Studies, Faculty of Engineering Management and Technology (BGSIT), Adichunchanagiri University, BG Nagara, Mandya, Karnataka, India. 2 Student, Department of Management Studies, Faculty of Engineering Management and Technology (BGSIT), Adichunchanagiri University, BG Nagara, Mandya, Karnataka, India.

Article Information

DOI
No DOI
Published Online
September-October 2025
Pages
30-34
Article Type
Original Article
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Abstract

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The study aims to examine how engaged employees contribute to improving productivity, quality, and safety within the manufacturing environment. This study focuses on evaluating the impact of employee involvement, communication, and motivation on streamlining processes, reducing defects, and minimizing operational disruptions and conflicts. It aims to assess how engagement initiatives-such as improved communication channels, leadership visibility, and feedback mechanisms-affect worker’s commitment, productivity, and adherence to quality and safety standards. However, despite investments in technology and process optimization, variations in employee engagement can noticeably impact productivity, quality, and safety outcomes on the shop floor. Poor involvement may lead to absenteeism, higher error rates, and reduced motivation, ultimately affecting the company’s ability to deliver on its commitments. The study examines how employee engagement influences operational efficiency manufacturing plants, aiming to identify the specific engagement factors that enhance performance and to recommend strategies for fostering a more engaged and productive workforce. The study is focusing specifically on the unique challenges and opportunities of employee engagement in the manufacturing context. It discovers how factors such as workplace safety, leadership support, recognition, and communication directly impact operational KPIs like throughput, cycle time, and overall equipment effectiveness (OEE).

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