Part 3A: Performance Improvement Fundamentals – Eliminating Speed Losses and Maximizing Throughput

A Comprehensive Guide for Pharmaceutical Manufacturing Excellence

Table of Contents

1. Introduction to Performance in OEE
2. Understanding the Performance Component
3. Why Performance Matters in Pharmaceutical Manufacturing
4. Performance Losses and Hidden Factory
5. Major Causes of Performance Losses
6. Ideal Cycle Time
7. Actual Operating Speed
8. Performance Calculation Methodology
9. Minor Stops and Micro-Stoppages
10. Reduced Speed Losses
11. Bottleneck Identification
12. Line Balancing
13. Performance KPIs
14. Pharmaceutical Case Study
15. GMP & Regulatory Considerations
16. Performance Improvement Strategies
17. Key Takeaways

1. Introduction to Performance in OEE

After improving Availability by minimizing equipment downtime, the next challenge is ensuring that equipment operates at its validated and designed speed. A machine may be available throughout the shift, but if it runs below its ideal cycle time or experiences frequent micro-stoppages, overall productivity suffers.

The Performance component of Overall Equipment Effectiveness (OEE) measures how efficiently equipment converts operating time into productive output.

Performance losses are often hidden because equipment appears to be running. However, reduced speed, frequent short stops, operator interventions, and process instability gradually erode production capacity. These losses, commonly referred to as the Hidden Factory, can significantly impact throughput without being immediately visible.

2. Understanding the Performance Component

Performance measures how closely equipment operates to its ideal production rate.

Formula

Performance (%) = (Ideal Cycle Time × Total Units Produced ÷ Operating Time) × 100

Alternatively:

Performance (%) = (Actual Output ÷ Ideal Output) × 100

Where:

• Ideal Cycle Time: The shortest validated time required to manufacture one unit under normal operating conditions.
• Operating Time: Planned production time minus downtime.
• Ideal Output: Maximum output achievable at the validated speed during operating time.

Example

• Operating Time = 420 minutes
• Ideal Speed = 300 tablets/minute
• Actual Output = 120,000 tablets

Ideal Output = 420 × 300 = 126,000 tablets

Performance = (120,000 ÷ 126,000) × 100 = 95.2%

This indicates that the equipment operated at 95.2% of its validated production capability.

3. Why Performance Matters in Pharmaceutical Manufacturing

Unlike many industries, pharmaceutical manufacturing operates within validated process limits. Equipment cannot simply be accelerated to increase output, as speed changes may affect:

• Tablet hardness
• Weight variation
• Coating uniformity
• Capsule fill weight
• Blend homogeneity
• Packaging integrity
• Product quality
• Regulatory compliance

Performance improvement therefore focuses on eliminating unnecessary losses while maintaining validated operating conditions.

Benefits include:

• Increased throughput
• Reduced production cycle time
• Improved schedule adherence
• Lower manufacturing cost
• Higher OEE
• Better asset utilization

4. Performance Losses and the Hidden Factory

The Hidden Factory refers to production capacity lost through inefficiencies that are not immediately apparent.

Common hidden losses include:

• Running below validated speed
• Frequent operator adjustments
• Short machine interruptions
• Material feeding delays
• Sensor interruptions
• Minor jams
• Temporary alarms
• Waiting for inspections
• Cleaning interruptions
• Tool wear

Although each event may last only a few seconds or minutes, their cumulative impact can be substantial.

5. Major Causes of Performance Losses

Equipment-Related

• Worn tooling
• Bearing wear
• Conveyor misalignment
• Drive slippage
• Sensor contamination
• Vacuum instability
• Pneumatic pressure fluctuations

Process-Related

• Frequent adjustments
• Poor granule flow
• Inconsistent material feeding
• Product change complexity
• Batch size variation

Human Factors

• Inadequate operator training
• Delayed response to alarms
• Inconsistent machine settings
• Manual intervention

Material Factors

• Poor raw material flow
• Packaging material variability
• Carton dimensional variation
• Foil feeding issues

Environmental Factors

• Humidity variation
• Temperature fluctuation
• Dust accumulation
• Utility instability

6. Ideal Cycle Time

The Ideal Cycle Time represents the fastest validated production rate under normal operating conditions.

Tablet Compression Example

Validated speed = 320 tablets/minute

Ideal Cycle Time = 60 seconds ÷ 320

= 0.1875 seconds per tablet

Ideal cycle time must always be based on validated process parameters and approved manufacturing instructions.

7. Actual Operating Speed

Actual operating speed is the real production rate achieved during manufacturing.

Example

Validated Speed = 300 tablets/minute

Actual Production = 270 tablets/minute

Speed Loss = 30 tablets/minute

Performance = (270 ÷ 300) × 100 = 90%

This 10% speed loss directly reduces production capacity.

8. Performance Calculation Methodology

Example: Tablet Compression Machine

• Operating Time = 450 minutes
• Ideal Speed = 300 tablets/minute
• Actual Production = 126,000 tablets

Ideal Output = 450 × 300 = 135,000 tablets

Performance = (126,000 ÷ 135,000) × 100 = 93.3%

Example: Blister Packaging Line

• Operating Time = 480 minutes
• Ideal Speed = 250 blisters/minute
• Actual Production = 114,000 blisters

Ideal Output = 480 × 250 = 120,000 blisters

Performance = (114,000 ÷ 120,000) × 100 = 95.0%

9. Minor Stops and Micro-Stoppages

Minor stops are brief interruptions—typically lasting a few seconds to a few minutes—that often escape formal downtime recording but collectively reduce performance.

Common Examples

Tablet Compression

• Hopper bridging
• Tablet sticking
• Weight adjustment
• Sensor reset
• Punch cleaning

Capsule Filling

• Capsule separation issues
• Powder feeding interruptions
• Vacuum fluctuations

Blister Packaging

• Carton jams
• Foil splice adjustments
• Vision system resets
• Product misalignment

Bottle Packaging

• Bottle accumulation
• Label skew
• Cap feeding interruptions
• Conveyor blockages

Impact

A line experiencing 120 micro-stoppages of 20 seconds each loses approximately 40 minutes of productive time in a shift.

10. Reduced Speed Losses

Equipment may operate below validated speed due to:

• Conservative machine settings
• Tool wear
• Frequent adjustments
• Material inconsistencies
• Operator caution
• Mechanical degradation

Example

Validated Speed = 350 tablets/minute

Actual Speed = 320 tablets/minute

Daily Operating Time = 8 hours

Potential Production = 168,000 tablets

Actual Production = 153,600 tablets

Daily Loss = 14,400 tablets

Over one year, this represents millions of tablets in lost production capacity.

11. Bottleneck Identification

A bottleneck is the slowest process in the production line, limiting overall throughput.

Example: Tablet Manufacturing Line

Compression is the bottleneck, as it has the lowest capacity.

Bottleneck Improvement Strategies

• Optimize equipment settings
• Improve preventive maintenance
• Reduce minor stops
• Enhance operator training
• Improve material flow
• Balance upstream and downstream processes

12. Line Balancing

Line balancing ensures that each process step has sufficient capacity to support the overall production rate.

Objectives

• Minimize waiting time
• Eliminate idle equipment
• Synchronize production flow
• Improve throughput
• Reduce work-in-process (WIP)

Practical Approaches

• Redistribute tasks among operators
• Standardize work methods
• Optimize material handling
• Adjust staffing levels
• Improve equipment reliability

13. Performance KPIs

Monitoring the right Key Performance Indicators (KPIs) enables continuous improvement.

Regular KPI reviews help identify trends and prioritize improvement efforts.

14. Pharmaceutical Case Study

Scenario

A tablet compression line consistently achieved an OEE Performance score of 89%.

Investigation Findings

• Frequent hopper blockages
• Punch wear
• Manual weight adjustments
• Delayed replenishment of granules
• Operators using inconsistent machine settings

Improvement Actions

• Installed low-level hopper sensors.
• Standardized machine setup parameters.
• Increased punch inspection frequency.
• Improved granule flow characteristics.
• Conducted operator training.

Results After Three Months

15. GMP & Regulatory Considerations

Performance improvement initiatives must maintain validated process conditions and comply with GMP.

Key considerations include:

• Do not exceed validated equipment speeds.
• Document any approved parameter changes through change control.
• Verify product quality after process adjustments.
• Maintain complete records of machine settings and performance data.
• Ensure electronic records comply with ALCOA+ data integrity principles.
• Confirm that performance improvements do not compromise critical quality attributes (CQAs).

16. Performance Improvement Strategies

To maximize the Performance component of OEE:

• Establish validated ideal cycle times for all critical equipment.
• Monitor actual speed continuously using MES or SCADA.
• Capture and analyze minor stops.
• Eliminate recurring micro-stoppages through Root Cause Analysis.
• Standardize machine setup and operating parameters.
• Optimize material flow to prevent starvation and blockages.
• Improve tooling management and inspection practices.
• Train operators on rapid troubleshooting and standardized work.
• Use real-time dashboards to monitor speed losses and throughput.
• Review performance KPIs during daily production meetings.

17. Key Takeaways

• Performance measures how efficiently equipment operates relative to its validated production capability.
• Minor stops, reduced speed, and process instability are often hidden losses that significantly impact OEE.
• Identifying bottlenecks, balancing production lines, and standardizing operating practices are essential for improving throughput.
• Continuous monitoring of Performance KPIs, combined with Lean Manufacturing and Root Cause Analysis, enables sustainable productivity gains.
• All performance improvements in pharmaceutical manufacturing must preserve validated process conditions, product quality, and regulatory compliance.

Coming in Part 3B: Lean Manufacturing & Process Optimization

The next installment will focus on advanced methods for eliminating waste and optimizing production flow, including:

• Lean Manufacturing Principles in Pharma
• The Eight Wastes (TIMWOODS)
• Value Stream Mapping (VSM)
• Kaizen and Continuous Improvement
• 5S Workplace Organization
• Visual Management
• Standard Work
• Line Balancing and Capacity Optimization
• Statistical Process Control (SPC)
• Practical Pharmaceutical Case Studies
• Lean Implementation Roadmap, Templates, and Best Practices for achieving world-class manufacturing performance.