In today’s brutally competitive manufacturing environment, the difference between a thriving plant and a shuttered one often comes down to a single, uncomfortable truth: productivity improvement is no longer optional it is the price of survival.
Labor costs are spiraling. Customer delivery windows are shrinking by the week. Profit margins are being squeezed from every direction raw material inflation, energy costs, and relentless pricing pressure from global competitors who operate leaner, faster, and smarter. The old ways of managing a shop floor gut instinct, tribal knowledge, and rough estimates are no longer enough to stay afloat, let alone grow.
The manufacturers who are winning aren’t necessarily the ones with the biggest budgets or the newest machines. They are the ones who measure what others ignore.
This is precisely where Time and Motion Studies one of the oldest yet most devastatingly effective tools in industrial engineering are making a dramatic comeback in modern manufacturing. Far from being a relic of the Frederick Taylor era, today’s structured time study methodologies, supercharged with digital tools, wearable sensors, and AI-assisted analytics, are delivering 15% to 35% productivity gains on shop floors around the world often without a single rupee or dollar of major capital investment.
Think about what that means in practice. A plant running at 65% efficiency doesn’t need a new production line it needs a time study. A workforce logging excessive idle time, unnecessary motion, and bloated cycle times doesn’t need to be replaced it needs to be scientifically observed, measured, and restructured.
In this article, we go beyond theory. We dive deep into real-world case studies from automotive, FMCG, textile, and heavy engineering sectors that prove the transformative power of structured performance measurement. We break down the proven frameworks from MOST (Maynard Operation Sequence Technique) to MTM (Methods-Time Measurement) that industrial engineers swear by. And we walk through expert-backed methodologies that show, step by step, how a rigorous time study program can permanently transform your operational performance.
Why Time & Motion Study Matters Today
Research shows manufacturing productivity can improve by 20–30% through structured operational optimization.
When implemented correctly, industrial time study enables:
- Accurate operator performance rating
- Improved capacity utilization
- Reduction in idle time
- Balanced line efficiency
- Scientific manpower planning
Real Case Studies: Productivity Gains Through Time & Motion Study
Below are real-world examples from Faber Infinite Consulting engagements.
Case Study 1: Automotive Sector
Problem
The client (an OEM supplier of cooling systems, gaskets & rubber products) faced several shop floor challenges across all 4 production and assembly lines:
-
- Shop floor efficiency issues across all production lines
- Imbalanced operations creating Muda (waste), Mura (unevenness), and Muri (overburden)
- Ergonomic workstation design issues
- Absence of standard operating procedures (SOPs)
Approach (Time and Motion Analysis)
| Step | Action Taken |
|---|---|
| Time & Motion Study | Defined standard times per ILO standards; video-recorded operations; broke tasks into sub-elements |
| Waste Analysis | Identified and eliminated Muda, Mura & Muri across all lines |
| Line Balancing | Identified bottleneck operations; created workstation combinations to reduce manpower |
| Workstation Design | Redesigned for ergonomics to cut fatigue and excess movement |
| NVA Elimination | Removed non-value-adding activities (excess walking, tool search, improper tools) using 5S, Kanban, VSM |
| Changeover Reduction | Applied Quick Changeover (SMED) tools |
Result
| Metric | Radiator Lines | Compressor Line |
|---|---|---|
| Productivity Improvement | +20% (avg. across 8 models) | +50% (2 → 3 units/shift) |
| Labor Cost Reduction | 25% | 50% |
| Work Content Reduction | — | 40% |
| Workstations Reduced | 4 per model (avg.) | 10 ergonomic stations designed |
Sustenance Plan
Results were maintained through Daily Work Management (DWM) and Systematic Audit & Improvement Loop (SAIL) to ensure continuous monitoring and long-term stability.
Case Study 2: Engineering Sector
Challenge
• Assembly line was unable to meet increased market
demand
• Rising issues of product quality
• No standard operating procedure in place
• Imbalanced operations creating Muda, Mura, Muri
• Work station design issues
Approach
| Tool / Method | Details |
|---|---|
| Time & Motion Study | Define standard times (fair day’s work) per ILO standards; list work elements; video shoot operations; calculate cycle time with performance & allowance factors |
| Waste Study | Study all Muda, Mura, Muri in the process and find ways to eliminate them |
| Lean Tools | Apply SMED, 5S (+safety), Kanban, 2 Bin system, Layout design, Incentive scheme, Logistics management to eliminate NVA |
| Line Balancing | Calculate TAKT time based on customer demand; rebalance the line accordingly |
| Workstation Design | Redesign workstations to eliminate fatigue and improve ergonomics |
Results
| Metric | Result |
|---|---|
| Throughput | Improved from 2 compressors/shift → 3 compressors/shift |
| Work Content | Reduced by 40% |
| Total Labor Cost | Reduced by 50% |
| Productivity | Improved by 50% |
| Workstation Layouts | 10 workstation layouts designed as per ergonomic standards |
Common Mistakes to Avoid
- Measuring without method study
- Ignoring performance rating
- Not including allowances
- Poor communication with operators
- Treating it as a cost-cutting exercise only
Trust and transparency are critical for success.
Actionable Takeaways
- Start with one critical bottleneck process.
- Conduct structured work measurement study.
- Apply motion economy principles.
- Set realistic standard times.
- Align with Lean manufacturing goals.
- Track productivity weekly.
- Reinforce with continuous improvement culture.




