Smart Lean Execution and Enhancement Technology for Productivity Optimization in Textile Manufacturing
Smart Lean Execution and Enhancement Technology for Productivity Optimization in Textile Manufacturing |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-8 |
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| Year of Publication : 2025 | ||
| Author : S. Saravanan, Partha Sarathi Chakraborty, S. Nallusamy, V. Kumar, K. Manogar | ||
| DOI : 10.14445/22315381/IJETT-V73I8P102 | ||
How to Cite?
S. Saravanan, Partha Sarathi Chakraborty, S. Nallusamy, V. Kumar, K. Manogar, "Smart Lean Execution and Enhancement Technology for Productivity Optimization in Textile Manufacturing," International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.14-27, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P102
Abstract
In India’s current production scenario, the textile manufacturing sector has recently grown, especially in the southern region; yet, the nation still suffers from inefficiencies brought on by antiquated techniques and Non-Value-Added (NVA) activities. Designed for the methodical finding, evaluation, and removal of waste and production bottlenecks in textile operations, the Smart Lean Execution and Enhancement Technique (SLEET) is a fresh approach to proposing a new model. This research study contributes to the body of knowledge on lean implementation by demonstrating how to integrate workstation redesign, Value Stream Mapping (VSM), 5S, and cellular manufacturing into a cohesive whole. Using the SLEET framework allowed a real-world textile production environment to lower operator trip distance from 153 to 117 feet and cycle time from 472 to 438 seconds. Furthermore, the disciplined lean implementation helped to raise overall productivity by 4.84%. Focusing on constant layout reconfiguration, real-time waste monitoring, and dynamic feedback loops, SLEET offers a proposed model that can scale and adapt to meet the dynamic demands of textile manufacturing, unlike traditional lean approaches. The research findings show that a systematic and phased lean implementation strategy may help to achieve both significant productivity improvements and operational efficiency.
Keywords
Lean technique, Value Stream Mapping, Workstation design, Continuous improvement, Waste minimization, Textile manufacturing.
References
[1] Pramod Kumar et al., “Integration between Lean, Six Sigma and Industry 4.0 Technologies,” International Journal of Six Sigma and Competitive Advantage, vol. 13, no. 1-3, pp. 19-37, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Luana Sposito Valamede, and Alessandra Cristina Santos Akkari, “Lean 4.0: A New Holistic Approach for the Integration of Lean Manufacturing Tools and Digital Technologies,” International Journal of Mathematical, Engineering and Management Sciences, vol. 5, no. 5, pp. 851-868, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Gautam Dutta et al., “Overcoming the Barriers of Effective Implementation of Manufacturing Execution System in Pursuit of Smart Manufacturing in SMEs,” Procedia Computer Science, vol. 200, pp. 820-832, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Hardik Majiwala, Suresh Sharma, and Pankaj Gandhi, “Lean and Industry 4.0 Strive to Create Smart Factory through Integration of Systems: An Exploratory Review,” 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT), pp. 184-195, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Jos A.C. Bokhorst et al., “Assessing to What Extent Smart Manufacturing Builds on Lean Principles,” International Journal of Production Economics, vol. 253, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Benedictus Rahardjo et al., “Lean Manufacturing in Industry 4.0: A Smart and Sustainable Manufacturing System,” Machines, vol. 11, no. 1, pp. 1-17, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Varun Tripathi et al., “Development of a Data‐Driven Decision‐Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study,” Mathematical Problems in Engineering, vol. 2022, no. 1, pp. 1-20, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[8] G. Citybabu, and S. Yamini, “Lean Six Sigma 4.0 - A Framework and Review for Lean Six Sigma Practices in the Digital Era,” Benchmarking: An International Journal, vol. 31, no. 9, pp. 3288-3326, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Paulo Peças et al., “Lean Methods Digitization towards Lean 4.0: A Case Study of e-VMB and e-SMED,” International Journal on Interactive Design and Manufacturing, vol. 16, no. 4, pp. 1397-1415, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Varun Tripathi et al., “Lean, Green, and Smart Manufacturing: An Ingenious Framework for Enhancing the Sustainability of Operations Management on the Shop Floor in Industry 4.0,” Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, vol. 238, no. 4, pp. 1976-1990, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Ahmad Abdullah, Shantanu Saraswat, and Faisal Talib, “Impact of Smart, Green, Resilient, and Lean Manufacturing System on SMEs’ Performance: A Data Envelopment Analysis (DEA) Approach,” Sustainability, vol. 15, no. 2, pp. 1-26, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Hung-Wen Tsai et al., “Use of the Smart Lean Method to Conduct High-Quality Integrated Perioperative Management before Hospitalization,” International Journal of Environmental Research and Public Health, vol. 18, no. 24, pp. 1-16, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Varun Tripathi et al., “A Sustainable Productive Method for Enhancing Operational Excellence in Shop Floor Management for Industry 4.0 using Hybrid Integration of Lean and Smart Manufacturing: An Ingenious Case Study,” Sustainability, vol. 14, no. 12, pp. 1-21, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Venkata Saiteja Kalluri et al., “Enhancing Manufacturing Efficiency: Leveraging CRM data with Lean-based DL Approach for Early Failure Detection,” Bulletin of Electrical Engineering and Informatics, vol. 14, no. 3, pp. 2319-2329, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Mohammad Shahin et al., “Integration of Lean Practices and Industry 4.0 Technologies: Smart Manufacturing for Next-Generation Enterprises,” The International Journal of Advanced Manufacturing Technology, vol. 107, no. 5-6, pp. 2927-2936, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Attia Hussien Gomaa, “LSS 4.0: A Conceptual Framework for Integrating Lean Six Sigma and Industry 4.0 for Smart Manufacturing Excellence,” Indian Journal of Management and Language (IJML), vol. 5, no. 1, pp. 8-29, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Michele Fiorello et al., “Towards A Smart Lean Green Production Paradigm to Improve Operational Performance,” Journal of Cleaner Production, vol. 413, pp. 1-18, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Attia Hussien Gomaa, “Lean 4.0: A Strategic Roadmap for Operational Excellence and Innovation in Smart Manufacturing,” International Journal of Emerging Science and Engineering, vol. 13, no. 5, pp. 1-20, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[19] D. Sobya, and S. Jeyabalan, “Enhancement of Production Rate and Flexibility in an Assembly Line by Execution of Various Lean Techniques - A Case Study,” International Journal of Engineering Research in Africa, vol. 51, pp. 15-27, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Sarah Lonsdale, Wildly Different: How Five Women Reclaimed Nature in a Man’s World, Manchester University Press, 2025.
[Google Scholar] [Publisher Link]
[21] Stephen Tyler Urchick, “Realism by Rail: Art and Mobilities in Late Imperial Russia,” Ph.D. Dissertation, Yale University, pp. 1-24, 2023.
[Google Scholar] [Publisher Link]
[22] Joseph M. Henning, Interpreting the Mikado's Empire: The Writings of William Elliot Griffis, 1st ed., Bloomsbury Academic, pp. 1-230, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Kathleen Griffith, Build Like a Woman: The Blueprint for Creating a Business and Life You Love, St. Martin's Essentials, pp. 1-288, 2024.
[Google Scholar] [Publisher Link]
[24] Andrew Lock, “‘They Learn Best by Teaching and Making their Own Mistakes, not by Lectures from Superiors.’ An Assessment of the British Expeditionary Force’s Infantry Tactical Progress on the Somme Front, September 1916 - April 1917,” Doctoral Thesis, University of East Anglia, pp. 1-273, 2023.
[Google Scholar] [Publisher Link]
[25] Michael Crawley, To the Limit: The Meaning of Endurance from Mexico to the Himalayas, 1st ed., Bloomsbury Publishing, pp. 1-272, 2024.
[Google Scholar] [Publisher Link]
[26] Marco Iansiti, and Karim R. Lakhani, Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Harvard Business Review Press, 2020.
[Google Scholar] [Publisher Link]
[27] M. Mohan Prasad et al., “A Framework for Lean Manufacturing Implementation in Indian Textile Industry,” Materials Today: Proceedings, vol. 33, pp. 2986-2995, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Hanifah Hatif, Khai Loon Lee, and Gusman Nawanir, “Improving Employee and Workplace Performance via Lean Manufacturing Practices: A Case Study in a Textile Company,” International Journal of Industrial Management, vol. 18, no. 1, pp. 43-59, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Ahmad Ali Yame, “System Throughput Optimization and its Interaction with Waste under Lean Manufacturing Considerations,” Lawrence Technological University, pp. 1-24, 2021.
[Google Scholar] [Publisher Link]
[30] Arash Solgi, Productivity Prediction of Garment Employees, 2021. [Online]. Available: https://www.kaggle.com/code/arashsolgi/productivity-prediction-of-garment-employees