First-Time-Right

Core meaning

First-Time-Right (FTR) refers to completing a task, process, or production step correctly on the first attempt, without the need for rework, repair, or repeat processing. In manufacturing and industrial operations, it is commonly used as a quality performance metric indicating how often units pass all required checks in their first run through a process.

FTR focuses on:

– Doing the specified work correctly the first time
– Meeting defined requirements, specifications, and acceptance criteria
– Avoiding repeat operations, corrections, or scrap caused by process errors

Use in manufacturing and regulated environments

In industrial and regulated settings, First-Time-Right commonly refers to:

– **Production processes**: Percentage of work orders, batches, or units that meet quality requirements without rework or deviation handling.
– **Quality control**: Alignment between defined methods (SOPs, work instructions) and actual execution, such that inspections, tests, and verifications are passed initially.
– **Documentation and records**: Batch records, electronic records, or device history records completed without corrections, data entry errors, or missing information that would require clarification or rework.
– **Engineering and change execution**: Modifications, setups, or recipes implemented correctly so they run to completion without additional adjustment to meet specification.

FTR is often tracked as a KPI at the level of:

– Individual process steps or work centers
– Production lines or value streams
– Product families, SKUs, or batch types

Measurement and data sources

Organizations commonly measure First-Time-Right as a percentage, for example:

– Units that pass all in-line and final inspections the first time
– Batches released without needing reprocessing, blending, or deviation-driven rework
– Work orders closed without quality holds, rework operations, or corrective loops

Typical data sources include:

– MES (Manufacturing Execution Systems) records for rework operations and holds
– Quality systems (eQMS, LIMS) for test failures and retests
– OT data from machines for reject counts and automatic scrap
– ERP for returns, scrap postings, and additional operations booked against the same order

The exact calculation method is organization-specific and should be defined clearly in procedures or KPI definitions.

Boundaries and what it is not

First-Time-Right:

– **Is about execution quality**, not total output volume.
– **Includes the impact of process capability and human performance**, but does not by itself explain the root cause of failures.
– **Typically excludes intentional repeats** (e.g., planned multi-pass processes) from being labeled as rework, as long as they are part of the defined standard process.

It is **not** the same as:

– **Yield**: Yield often considers the ratio of good units to total units, possibly after rework; FTR focuses on success in the first pass without rework.
– **Right-First-Time (RFT)** as used in some administrative or service contexts, which may emphasize documentation or transactional accuracy rather than physical product processing.

Common confusion and misuse

– **Confusion with yield or OEE**: FTR is sometimes incorrectly equated with overall yield or Overall Equipment Effectiveness. While they are related, FTR isolates how often the process delivers conforming output at the first attempt.
– **Ignoring rework that is not explicitly labeled**: If rework is hidden as normal operations, FTR metrics can appear artificially high. Accurate usage depends on clearly defining what counts as rework, repair, or repeat processing.
– **Over-narrow focus on scrap only**: FTR includes both scrap and rework; a unit that is eventually good but required extra processing is still a First-Time-Right failure.

Application in site context

Within industrial operations and manufacturing systems, First-Time-Right is used to:

– Assess process robustness and repeatability on the shop floor
– Monitor quality performance across shifts, lines, and sites
– Support continuous improvement, root cause analysis, and problem-solving methods (e.g., 5-Why, DMAIC)
– Evaluate the impact of digital systems (MES, automation, recipe management) on operational quality

In regulated environments, improving FTR can reduce deviations, investigations, and documentation corrections, provided that process changes are controlled and properly documented in compliance with applicable procedures and standards.