Analysis of the Impact of Quality control as an effective tool in product Standardization at Topworth Urja & Metals Limited in Nagpur
DOI:
https://doi.org/10.52783/jns.v14.3463Keywords:
Quality control, product standardization, manufacturing processes, consistency, inspection, testing, operational data, defects, regulatory compliance, competitive advantageAbstract
The role of quality control in product standardization is crucial for ensuring consistency, efficiency, and customer satisfaction in manufacturing processes. At Topworth Urja & Metals Limited, a leader in the steel production industry, implementing rigorous quality control measures has proven to be an effective strategy for enhancing product standardization. This research aims to investigate the impact of quality control practices on the standardization of products within the company. Through a combination of qualitative and quantitative methods, the study explores how quality control techniques, such as inspection, testing, and process monitoring, contribute to minimizing production variability and ensuring uniformity in product quality. By analysing operational data and gathering insights from key stakeholders, the study provides a comprehensive understanding of the relationship between quality control and product standardization. Findings indicate that robust quality control mechanisms lead to improved consistency in product specifications, reduce defects, and enhance the company's ability to meet regulatory and customer requirements. Moreover, the research highlights the importance of continuous training, technological advancements, and employee involvement in maintaining effective quality control systems. The outcome of this study emphasizes the significance of quality control as an integral tool for ensuring high standards and competitive advantage in the industry. This research also offers valuable recommendations for other manufacturing organizations seeking to improve product standardization and maintain high-quality output
Downloads
Metrics
References
Books:
Juran, J.M. (1992). Juran's Quality Control Handbook (5th ed.). McGraw-Hill.
Montgomery, D.C. (2009). Introduction to Statistical Quality Control (7th ed.). Wiley.
Chandra, S. (2013). Total Quality Management (2nd ed.). PHI Learning.
Evans, J.R., & Lindsay, W.M. (2014). Operations Management: Quality and Performance Excellence (11th ed.). Cengage Learning.
Deming, W.E. (1986). Out of the Crisis. MIT Press.
Research Papers:
Kumar, V., & Gupta, S. (2020). "The Role of Statistical Process Control in Quality Improvement," International Journal of Quality & Reliability Management, 37(4), 310-324.
Singh, A., & Sharma, R. (2019). "Impact of Quality Control on Operational Efficiency: A Case Study," Journal of Manufacturing Processes, 34(7), 530-544.
Patel, R., & Kothari, P. (2021). "Implementation of Quality Control Systems in Indian Manufacturing Firms," International Journal of Quality and Reliability, 38(5), 1220-1234.
Kumar, R., & Verma, N. (2018). "Lean Manufacturing and Quality Management Integration: A Comprehensive Review," International Journal of Lean Six Sigma, 9(3), 210-225.
Gupta, D., & Thakur, M. (2017). "Analysing the Effectiveness of Total Quality Management in Steel Manufacturing," International Journal of Quality & Reliability, 36(2), 75-85
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
