Siemens Opcenter Execution Pharma

Siemens' pharmaceutical MES for paperless manufacturing and full electronic batch recording in GMP production.

Opcenter Execution Pharma is the pharmaceutical manufacturing execution system from Siemens Digital Industries Software (US software headquarters in Plano, Texas; Siemens AG is publicly listed). It provides paperless manufacturing with full electronic batch recording, weighing and dispensing, and equipment management, and integrates with Siemens' broader automation and digitalization stack. Siemens documents how the product supports 21 CFR Part 11-compliant electronic records — conformance support rather than a certification. This profile covers the Opcenter Execution Pharma product line, not Siemens as a whole.

Headquarters
Plano, United States
Compliance
21 CFR Part 11
Deployment options
on-premise, cloud
Website
https://plm.sw.siemens.com/en-US/opcenter/execution/pharma/

Categories

AI Use Cases

  • Manufacturing Process Optimization
  • Manufacturing Quality Control

Vendor Scorecard

64% — Partial coverage. Coverage score — how completely Atlas documents Siemens Opcenter Execution Pharma across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

21 CFR Part 11

Deployment & Hosting — Documented

on premise, cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, IT / Digital, Data Management

Solution Scope — Documented

Manufacturing Process Optimization, Manufacturing Quality Control

Company Viability — Partially documented

Public

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • How does Opcenter Execution Pharma integrate with our existing DCS and automation layer?
  • What does a typical multi-site MES rollout and validation timeline look like?
  • Which pre-built content exists for our modality (biologics, oral solid dose, cell and gene)?
  • How do licensing and support work across the Siemens Xcelerator portfolio?