A Study on Implementation of Lean Manufacturing Techniques and MOST (Maynard Operation Sequence Technique) to Improve Production Efficiency with Reference to Escorts Kubota Limited, Delhi and UMAS India Pvt. Ltd.

Abstract

This research paper investigates the implementation of Lean Manufacturing Techniques and Maynard Operation Sequence Technique (MOST) as integrated strategies to enhance production efficiency in manufacturing organizations. The study is conducted with specific reference to Escorts Kubota Limited, Delhi — a leading tractor and agri-machinery manufacturer — and UMAS India Pvt. Ltd., a precision engineering component supplier. Lean Manufacturing, rooted in the Toyota Production System, focuses on the systematic elimination of waste (Muda) from production processes, including overproduction, excess inventory, unnecessary motion, waiting, defects, over-processing, and underutilized talent. MOST, a predetermined time system, provides a structured analytical method for establishing accurate work standards by sequencing human motions into defined activity models. Together, these methodologies form a powerful framework for identifying inefficiencies, standardizing work, and driving continuous improvement. The research adopts a mixed-methods approach, incorporating both qualitative observations through plant visits and process mapping, and quantitative data collection through time study analysis and production metrics. Key findings indicate that the integration of Lean tools — including Value Stream Mapping (VSM), 5S, Kaizen, Just-in-Time (JIT), and Total Productive Maintenance (TPM) — with MOST-based work measurement leads to significant reductions in cycle time, improved Overall Equipment Effectiveness (OEE), and enhanced labor productivity. At Escorts Kubota Limited, the application of VSM and JIT resulted in a measurable reduction in work-in-progress inventory and throughput time. At UMAS India Pvt. Ltd., MOST analysis facilitated precise method improvement and standardized time setting, resulting in increased operator efficiency. The study concludes that a synergistic application of Lean Manufacturing and MOST is highly effective in improving production efficiency, reducing operational costs, and creating a culture of continuous improvement. The paper also highlights practical challenges such as resistance to change, training requirements, and the need for sustained management commitment, and offers recommendations for successful implementation in the Indian manufacturing context.

Introduction

The study examines how combining Lean Manufacturing techniques and the Maynard Operation Sequence Technique (MOST) can improve production efficiency in manufacturing firms, with case studies from Escorts Kubota Limited and UMAS India Pvt. Ltd.

Lean Manufacturing focuses on eliminating waste in production processes, while MOST provides a structured method for measuring work and setting standard times based on motion analysis. Together, they help identify inefficiencies, standardize operations, and support continuous improvement.

Using a mixed-methods approach involving plant visits, process mapping, and time studies, the research finds that integrating Lean tools (such as 5S, Kaizen, JIT, VSM, and TPM) with MOST leads to:

• Reduced cycle and throughput times
• Lower inventory levels
• Improved labor productivity
• Higher Overall Equipment Effectiveness (OEE)

Case results show that Escorts Kubota improved inventory and flow efficiency through Lean tools, while UMAS India achieved better standardization and operator efficiency using MOST-based analysis.

The study concludes that combining Lean Manufacturing with MOST significantly enhances operational efficiency and cost reduction, though successful implementation requires training, change management, and strong leadership support.

Conclusion

This research paper has demonstrated that the integrated application of Lean Manufacturing techniques and MOST work measurement is an effective and proven approach to improving production efficiency in Indian manufacturing organizations. Through the detailed study of Escorts Kubota Limited and UMAS India Pvt. Ltd., the research has provided empirical evidence of measurable improvements across multiple performance dimensions — including cycle time, WIP inventory, OEE, operator efficiency, and defect rates. Lean Manufacturing\'s systematic approach to waste identification and elimination, when combined with MOST\'s rigorous method analysis and work standardization capabilities, creates a comprehensive framework for operational excellence. MOST provides the analytical foundation — accurate work standards and method improvement insights — upon which Lean\'s flow-improvement and pull-based systems can be effectively built and sustained. The study also highlights that technical tools alone are insufficient for sustained improvement. Organizational factors — including management commitment, employee engagement, training, and a culture of continuous improvement — are equally critical determinants of success. For Indian manufacturers competing in an increasingly demanding global environment, the strategic adoption of Lean and MOST represents not merely a productivity initiative but a fundamental transformation in operational capability and competitive positioning. Future research could explore the integration of digital technologies — such as IoT-based real-time tracking, digital VSM tools, and AI-driven MOST analysis — into the Lean-MOST framework, building upon the Industry 4.0 transformation currently underway in the Indian manufacturing sector.

References

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Copyright

Copyright © 2026 Rahul Madhukar Sable, Mr. Uday Sudhakarrao Gadhe. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.