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Systematic approach to analyze and improve processes to increase efficiency, quality, and throughput.
Process optimization refers to systematic methods for analyzing and improving workflows to increase efficiency, quality, and throughput. It includes measurement, bottleneck identification, intervention design, and iterative evaluation. Applied across operations, product development, and organizational change, it balances short-term gains with sustainable process resilience.
Time from process start to completion of an item; central to measuring flow efficiency.
Number of completed units per time period; measures productivity.
Share of tasks completed correctly without rework; indicator of quality.
Reducing setup times and reorganizing part supply increased throughput by 20%.
Improved pipeline and clear definition-of-done halved time-to-release.
Automated checks and standard documents reduced dropouts and costs.
As-is analysis: document processes and collect data.
Bottleneck analysis: identify and prioritize bottlenecks.
Solution planning: design and pilot interventions.
Rollout: deploy improvements incrementally and measure.
Continuous improvement: establish feedback loops.