Electronics manufacturing services

Quality analytics for EMS manufacturers.
Keep every program in context.

Bring production and test data into a clearer view of customer programs, product revisions and sites. QualityLine helps electronics manufacturing services teams investigate losses and prepare quality reviews with consistent evidence.

Contract manufacturing complexity

One factory average can hide very different programs.

Customer requirements, product mix and test coverage change the meaning of a quality number. Keep that context visible when prioritizing engineering work or preparing a customer update.

Multiple customer programs

Define which products, revisions and production records belong in each review. Keep the reporting scope clear before combining results.

Frequent product changes

Separate new-product introduction (NPI), engineering changes and mature production. Review test-limit and sequence changes alongside yield trends.

Several sites and stations

Compare equivalent products and test processes. Different product mixes, fixtures or counting rules can make a site comparison misleading.

Customer questions and escalations

Bring the affected units, failed measurements and repair history into the discussion. Make the data behind the report available to the investigation team.

Program reporting

Make each quality review traceable to its records.

Structure the review around a defined customer program. QualityLine’s connected data and analytics support the investigation; your team agrees the scope, definitions and response.

1 / SCOPE

Identify the production group

Use available customer or program references, product revisions, sites and dates. Resolve missing or inconsistent identifiers before comparing results.

2 / DEFINITIONS

Agree how yield is counted

Define the process step, eligible units and first-attempt rules. Keep retests and final yield visible separately so a recovered unit does not erase its original failure.

3 / INVESTIGATION

Follow the result into detail

Review the measurements, station context and recorded repair findings behind the trend. Assign engineering follow-up and check the outcome after an approved change.

Sites, transfers and changeovers

Compare like with like before choosing an action.

For assembly programs, SMT analytics connects inspection and process evidence to the yield investigation. A program may run on different lines or move between factories. Start with a common product and test definition, then investigate differences in stations, fixtures, materials or repair outcomes.

For a new revision, establish its own baseline before comparing it with a mature build. Engineering can then decide which differences justify a process or test investigation.

See how root cause investigation works

  • Match the production contextProduct revision, process step, test sequence, specification limits and period.
  • Check the volume behind the rateShow the eligible-unit count and failure count. Small builds need different interpretation from high-volume production.
  • Review the measurement setupCheck station, fixture and calibration context before treating a test difference as a product defect.

A practical first scope

Start with one program and a defined quality question.

Choose an investigation that matters to both operations and the customer team. Confirm these three areas before expanding to more products or sites.

Data and ownership

Identify the source systems, available fields and who can provide access. Agree the unit, program and revision mappings with the people who own the records.

Users and reporting

Agree which programs, sites and users should be in scope. Validate access permissions and customer-reporting requirements with your IT and quality teams before rollout.

Evaluation and follow-up

Set a baseline, review period and engineering owner. Track the chosen quality metric and investigation effort using the same definitions throughout the evaluation.

Discuss the required deployment, access model and reporting format during scoping. A program filter alone does not establish customer-data isolation or satisfy a customer quality agreement.

Review the platform and implementation scope

The OEM perspective

Visibility matters on both sides of a manufacturing relationship.

STANLEY Healthcare

PCBA quality and NPI

Oversight of outsourced production

Published as a Stanley Black & Decker customer case study.

Connecting production, engineering and design

The case describes an OEM’s need to monitor PCBA quality from contract manufacturers and improve new product introduction before outsourcing production.

It also describes unit-level investigation, alerts and feedback between production, engineering and design teams. The customer account shows the information an OEM needs when reviewing outsourced manufacturing.

Business goals: page 2. Investigation and feedback workflow: pages 3–5.

Common questions

Planning analytics for an EMS operation

What does EMS mean here?

EMS means electronics manufacturing services: companies that manufacture, assemble or test electronic products for other businesses. This page focuses on the quality-data and reporting needs of that operating model.

Can we compare quality across different customer programs?

Start within a comparable product and process group. Programs may have different test coverage, specifications and counting rules. Keep those definitions visible before using an aggregate result to prioritize engineering work.

How should we handle retests in a customer yield report?

Agree the process step and eligible-unit population first. First-pass yield counts units that pass on their first attempt; retests and final yield should be reported separately. Preserve attempt order and make exclusions visible.

What should we prepare for an EMS analytics demo?

Choose one program and quality question. Bring a description of the source systems, product revisions, sites, unit identifiers and reporting definitions. Include your access and deployment requirements so the team can scope a suitable evaluation.

Start with a customer program

Bring your next quality-review question.

Discuss the program, sites, reporting definitions and available test data. Review how QualityLine could help your team investigate the issue and measure progress.