Flow and capacity baseline
Mapped the process, measured cycle times and OEE, and identified the loading and inspection constraints limiting end-to-end throughput.
Production Output Growth Through Process Reengineering
Case Study
Production Output Growth through Process Reengineering
With rising demand for key calibres and limited capacity expansion options, the client needed to increase output without increasing headcount or machinery. Key challenges included bottlenecks in loading and inspection, shift inefficiencies, high WIP, and delayed order fulfilment.
Optimized existing operations to boost production output without adding new machinery or manpower, addressing capacity constraints effectively.
Resolved key bottlenecks in loading and inspection stages, improving flow efficiency and reducing cycle times.
Streamlined workflows and shift utilization, resulting in lower work-in-progress levels and faster order fulfilment.
Project Info
Confidential
Operations Lead / Continuous Improvement Advisor
Operational Efficiency & Process Reengineering
Operational performance and process improvement
Production Flow and Output Improvement
Increasing output from existing assets through process reengineering, line balancing and daily performance control.
40%higher daily output
98%on-time delivery
50%less changeover waste
0additional machines
The challenge
A clear operational constraint with measurable consequences.
Rising demand for key calibres had created pressure on capacity, but the client needed to improve output without adding machinery or headcount. Bottlenecks in loading and inspection, inconsistent shift utilisation, high work in progress and delayed order fulfilment were limiting performance.
The engagement combined process observation, time and motion analysis, capacity assessment and line balancing. Workstations, operator allocation, flow controls and shift routines were redesigned around the actual constraint, supported by visual management and daily feedback.
Engagement approach
Structured from evidence to sustained control.
The work was organised into three connected stages so that diagnosis, implementation and internal capability developed together.
Line balancing and scheduling
Reallocated operators, redesigned workstation flow and introduced FIFO and kanban controls to reduce queues and work in progress.
Daily management
Introduced shift huddles, tier boards, takt-based pacing and operator feedback so that performance issues could be identified and acted on quickly.
Methods and controls
Practical tools selected for the operating environment.
Methods were applied to support decisions, strengthen internal ownership and create repeatable management controls.
Time and motion analysisLean layoutOEETakt timeTheory of ConstraintsFIFOKanbanVisual management
Outcome
The redesigned operating model increased daily output without additional capital equipment or staffing. It also improved order fulfilment, reduced changeover losses and created a repeatable approach for future production expansion.
Measured improvement supported by clearer ownership, stronger controls and practical workforce engagement.
Results shown reflect the stated client baseline and engagement scope. Client identity remains confidential, and outcomes may vary according to operating conditions, available data and implementation ownership.
Approach & Execution
Phase 1: Baseline Assessment
Conducted OEE benchmarking and tracked MTTR/MTBF across key assets.
Phase 2: Line Rebalancing & Scheduling Redesign
Operator reallocation, kanban boards, workstation redesign, FIFO flow
Phase 3: Operator Empowerment & KPI Feedback
Training on takt flow, daily briefings, tier boards, and pacing tools
Tools & Frameworks
- Time-Motion Analysis, Lean Layout Design
- OEE, Takt Time, Visual Management
- Theory of Constraints (TOC)
Workforce Engagement
Daily shift huddles and performance boards
Operator input on layout redesign
Green/red KPI flags and feedback loop
Results
40% increase in daily output across lines
OTIF improved from 76% to 98%
50% reduction in changeover waste
Improved space utilization and WIP consolidation
Repeatable model for future expansions