Introduction

This in-depth case study depicts the change process of an internationally acclaimed maker and provider of plastic woven fabric machinery. With growing demand for circular loom machines, the client felt the need to bring about efficiency in their production processes, align manpower utilization, and automate work procedures. They engaged Production Modeling India (PMI), a top operations consulting and industrial engineering company, to solve these problems. The objective was obvious: improve efficiency and productivity through the application of disciplined procedures like PMTS, distribution of work, and line balancing. A comprehensive, cooperative, and fact-based intervention followed, one that re-engineered the client's assembly line performance to set the ground for long-term progress.

Client Profile and Project Background

The customer is a worldwide leader in designing and manufacturing machinery involved in the manufacturing of plastic woven fabrics. Having a healthy market position and growing order book, the firm was under strain to deliver on time without sacrificing quality or price. Their loom machine assembly conveyor line, however, had a few operating bottlenecks. The issues were:

• Lack of standard work instructions throughout the line.
• Sub-assembly lines operating in an ad-hoc and inefficient manner.
• Lack of unidirectional flow in the assembly process, causing confusion and delays.
• Underutilized manpower in some stations and overburdened teams in others. • Difficulty in estimating accurate work content due to variability in tasks.

In summary, the client needed a structured and scientific approach to assess the existing conditions, identify inefficiencies, and build a framework that would improve productivity while maintaining operational discipline.

PMI’s Diagnostic Approach

PMI initiated the project with a kickoff meeting involving all key stakeholders. A cross-functional team was formed, comprising client representatives from production, quality, maintenance, and HR, along with PMI’s industrial engineering experts. The first step was to develop a thorough understanding of the current process.

To achieve this, PMI did exhaustive video recording of activities on the assembly line of the loom machine, both the main assembly and sub-assembly processes. Meticulous analysis was done on these recordings to dissect every activity into its constituent tasks. PMI used the Predetermined Motion Time System (PMTS) technique for allocating standard time values to each task on the basis of motion and effort.

Concurrently, PMI made a request for and assembled operating records from field supervisors for verification of data entered. All data collected were then organized into detailed elemental activity charts, which were forwarded to the client for observation and verification. This joint exercise ensured all assumptions and calculations were consistent with realities on the ground and had acceptance at the responsibility end.

Driving Efficiency in Loom Machine Assembly: A PMI Success Story

Analytical Framework and Execution

Having elemental data validated, PMI went ahead to examine work content in the whole assembly line. An analysis was done and showed there were major imbalances. Some of the stations had wasted time, while others were overloaded, resulting in unequal production levels and occasional bottlenecks.

PMI used this knowledge to design three scenarios for the assembly line:

• Current Condition: Reflected the current imbalances, idle time, and delays.
• Suggested Condition 1: An improvement plan with moderate improvement that reworked tasks with few changes in manpower or resources.
• Suggested Condition 2: An optimized setup that is redistributed more equitably among stations so that with the same or less resources, improved productivity is enabled.

In all three situations, PMI measured the line's capacity, operator utilization, and cycle time. Simulations were conducted comparing possible gains in throughput and labor waste savings. Furthermore, particular emphasis was placed on creating unidirectional flow in the sub-assembly zone, where it had been a major cause of confusion and inefficiency.

Results & Improvements Achieved

The combined efforts of PMI with the customer produced tangible and quantifiable improvements:

In general, the adoption of standard work and balanced lines resulted in increased productivity, variability reduction, and a more respectful manufacturing culture. The client also experienced enhanced interdepartmental coordination and higher confidence in achieving production targets.

Driving Efficiency in Loom Machine Assembly: A PMI Success Story

Conclusion & Future Outlook

This case study illustrates how data-driven approaches, when coupled with pragmatic industrial engineering techniques, can drive revolutionary change in manufacturing processes. PMI's systematic approach, beginning from observation to validation, analysis, and joint implementation, ensured not only the client had short-term successes but also established a scalable system for ongoing improvement.

The customer is now armed with precise work standards that can be duplicated across comparable lines or plants. With visibility into task durations and manpower requirements, they are well placed to manage varying demand levels and future expansion. For the next step, PMI suggested incorporating these standards in a computer-based performance monitoring system and performing periodic audits to validate compliance and spot additional areas for lean optimization.

Through this interaction, PMI reaffirmed its dedication to providing real, lasting results to customers in the entire manufacturing domain. The success of this project in the loom machine sector is a powerful testimonial to the strength of strategic industrial engineering interventions in achieving business excellence.

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