Project

PRJ-0218

Industry

Pharmaceuticals & Life Sciences

Application

Inspection & controlled handling

Commissioned

May 24, 2024

Status

Supported

6,000 vials/h inspected automatically, with glass breakage at transfer points reduced from 0.12 % to 0.03 %.

Project

PRJ-0218

Industry

Pharmaceuticals & Life Sciences

Application

Inspection & controlled handling

Commissioned

May 24, 2024

Status

Supported

6,000 vials/h inspected automatically, with glass breakage at transfer points reduced from 0.12 % to 0.03 %.

Plan drawing of vial transfer and inspection

FIG. 1

Inspection & controlled handling

PRJ-0218

01

Commissioning results

Measured outcome

01

Commissioning results

Measured outcome

Inspection rate

6,000

vials/h

Continuous, 2 ml and 10 ml vial formats

Inspection rate

6,000

vials/h

Continuous, 2 ml and 10 ml vial formats

Challenge-set detection

99.4

%

2,484 of 2,500 defect vials · 5 classes, each ≥ 98.0 %

Challenge-set detection

99.4

%

2,484 of 2,500 defect vials · 5 classes, each ≥ 98.0 %

Glass breakage at transfer

0.12

→

0.03

%

3 months after SAT vs. prior 3 months

Glass breakage at transfer

0.12

→

0.03

%

3 months after SAT vs. prior 3 months

Inspectors per shift

3

→

1

One operator for reject review; two redeployed

Inspectors per shift

3

→

1

One operator for reject review; two redeployed

02

Engineering record

Challenge, approach and architecture

02

Engineering record

Challenge, approach and architecture

Challenge

Context. A fill-finish line for injectable products in 2 ml and 10 ml glass vials, operated by a contract manufacturer for several clients.

Existing process. Three inspectors per shift checked vials manually against a light box. Results varied between inspectors, and glass breakage at two manual transfer points created particle risk.

Constraints.

  • Every requirement traced from the client's user requirement specification to a test.

  • Reject handling must be segregated and lockable.

  • The client remains responsible for qualification; our documentation had to support their IQ/OQ.

Challenge

Context. A fill-finish line for injectable products in 2 ml and 10 ml glass vials, operated by a contract manufacturer for several clients.

Existing process. Three inspectors per shift checked vials manually against a light box. Results varied between inspectors, and glass breakage at two manual transfer points created particle risk.

Constraints.

  • Every requirement traced from the client's user requirement specification to a test.

  • Reject handling must be segregated and lockable.

  • The client remains responsible for qualification; our documentation had to support their IQ/OQ.

Engineering approach

We worked from the client's URS to a functional and design specification, then agreed a challenge set of 2,500 defect vials in five classes, with acceptance at ≥ 98.0 % detection per class.

Scope. Star-wheel transfer replacing two manual steps; four-station camera inspection (360° cracks and cosmetic, stopper and crimp, fill level); locked reject bins; batch reports with user management and audit trail; FS, DS, traceability matrix and FAT/SAT protocols.

Engineering approach

We worked from the client's URS to a functional and design specification, then agreed a challenge set of 2,500 defect vials in five classes, with acceptance at ≥ 98.0 % detection per class.

Scope. Star-wheel transfer replacing two manual steps; four-station camera inspection (360° cracks and cosmetic, stopper and crimp, fill level); locked reject bins; batch reports with user management and audit trail; FS, DS, traceability matrix and FAT/SAT protocols.

System architecture

  • Handling: star-wheel infeed and transfer with guided vial contact.

  • Inspection: 4 stations, 7 cameras in total — 360° glass inspection, stopper and crimp, fill level — with dedicated lighting per defect class.

  • Control: safety PLC and HMI with role-based access and audit trail.

  • Records: batch report per lot with images of rejected vials.

System architecture

  • Handling: star-wheel infeed and transfer with guided vial contact.

  • Inspection: 4 stations, 7 cameras in total — 360° glass inspection, stopper and crimp, fill level — with dedicated lighting per defect class.

  • Control: safety PLC and HMI with role-based access and audit trail.

  • Records: batch report per lot with images of rejected vials.

Deployment & commissioning

FAT was executed against the agreed protocols with the client's quality representatives in our hall. SAT followed on site, and we supported the client's IQ and OQ execution. Performance qualification and release were carried out by the client.

Deployment & commissioning

FAT was executed against the agreed protocols with the client's quality representatives in our hall. SAT followed on site, and we supported the client's IQ and OQ execution. Performance qualification and release were carried out by the client.

  1. INInfeedStar-wheel
  2. CAM 1–2Glass 360°4 cameras
  3. CAM 3–4Closure & fill3 cameras
  4. REJRejectLocked bin
  5. RECBatch recordAudit trail
FIG. 3 · Signal path · Rev A

03

Specification & results

Specification, acceptance and results

03

Specification & results

Specification, acceptance and results

Rate

6,000 vials/h

Rate

6,000 vials/h

Formats

Change parts per format

2 ml · 10 ml

Formats

Change parts per format

2 ml · 10 ml

Stations

7 cameras

4

Stations

7 cameras

4

Challenge set

5 classes × 500

2,500 vials

Challenge set

5 classes × 500

2,500 vials

Records

Audit trail, role-based access

Batch report

Records

Audit trail, role-based access

Batch report

Parameter

Specified

Measured

Result

Detection · cracks / chips

≥ 98.0 %

99.4 %

Pass

Detection · cracks / chips

Specified

≥ 98.0 %

Measured

99.4 %

Result

Pass

Detection · cosmetic scratches

≥ 98.0 %

98.6 %

Pass

Detection · cosmetic scratches

Specified

≥ 98.0 %

Measured

98.6 %

Result

Pass

Detection · stopper position

≥ 98.0 %

100 %

Pass

Detection · stopper position

Specified

≥ 98.0 %

Measured

100 %

Result

Pass

Detection · crimp defects

≥ 98.0 %

99.2 %

Pass

Detection · crimp defects

Specified

≥ 98.0 %

Measured

99.2 %

Result

Pass

Detection · fill level

≥ 98.0 %

99.6 %

Pass

Detection · fill level

Specified

≥ 98.0 %

Measured

99.6 %

Result

Pass

False rejects · 2,000 good vials

≤ 1.0 %

0.55 %

Pass

False rejects · 2,000 good vials

Specified

≤ 1.0 %

Measured

0.55 %

Result

Pass

Results

Measure

Before

After

Inspection

Manual, 3 inspectors per shift

Automated, 1 reviewer per shift

Rate

Limited by inspectors

6,000 vials/h

Transfer

2 manual steps

Star-wheel transfer

Breakage at transfer

0.12 %

0.03 %

Detection by class: cracks / chips 99.4 %, cosmetic scratches 98.6 %, stopper position 100 %, crimp defects 99.2 %, fill level 99.6 % (500 vials per class). False rejects on 2,000 known-good vials: 11 (0.55 %).

Results

Measure

Before

After

Inspection

Manual, 3 inspectors per shift

Automated, 1 reviewer per shift

Rate

Limited by inspectors

6,000 vials/h

Transfer

2 manual steps

Star-wheel transfer

Breakage at transfer

0.12 %

0.03 %

Detection by class: cracks / chips 99.4 %, cosmetic scratches 98.6 %, stopper position 100 %, crimp defects 99.2 %, fill level 99.6 % (500 vials per class). False rejects on 2,000 known-good vials: 11 (0.55 %).

04

Drawings

Layout and detail drawings

Original technical drawings prepared for this record. Illustrative, not to scale.

04

Drawings

Layout and detail drawings

Original technical drawings prepared for this record. Illustrative, not to scale.

Plan drawing of vial transfer and inspection

FIG. 1 · Vial transfer and inspection, plan

Bar chart of challenge-set detection by defect class

FIG. 2 · Challenge-set results by defect class

The documentation arrived in the structure our validation team asked for, which is not something we can take for granted.

Validation Lead

Client · contract manufacturer (anonymized)

PRJ-0218

05

Related

Solutions, platforms and resources

05

Related

Solutions, platforms and resources

A

Related solutions

B

Technology stack

C

Related resource

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