Fragmented product information
Keeping formulas, materials and specifications in separate files undermines a single source of truth.
/ SIEMENS OPCENTER
05
Opcenter Research, Development and Laboratory
Manage product information and quality decisions in one digital flow, from formulation through laboratory results.
Manage specifications, formulations, samples, tests, instruments and usage decisions with traceability and compliance using Siemens Opcenter RD&L and Laboratory.
Explore the product
Transform fragmented formula, specification and test records into reusable knowledge and faster quality decisions.
Extended testing cycles
Release is delayed when sample, instrument, analyst and approval workflows are not visible.
Compliance and data integrity
Versions, audit trails, competencies and electronic approvals must be managed under control.
/ RD&L AND LABORATORY BACKBONEMove knowledge from experiment to product,
Move knowledge from experiment to product,
and from product to production.
Opcenter RD&L manages formulated-product development, specifications and enterprise knowledge. Opcenter Laboratory provides comprehensive LIMS processes from sample request through verified result.
DesignDevelop formulas and specifications
TestManage samples and analyses
ReleaseTransfer decisions to production
- Single source of truthMaterials, formulas, specifications and project data are maintained under version control.
- Laboratory efficiencyRequests, samples, instruments, analysts and test queues become fully visible.
- Closed-loop qualityLaboratory usage decisions are transferred to MES quickly and traceably.
Knowledge matures,
and every decision advances with evidence.
Development objectives become formulas and specifications, while laboratory requests become verified results and usage decisions.
CONTEXTDECISIONRESULT
/ CAPABILITIESShared data and process management
Shared data and process management
for R&D and laboratory operations.
The modules address the distinct needs of formulated-product development and manufacturing quality control through a common information backbone.
Project and knowledge management
Objectives, teams, experiments and lessons learned are retained in an electronic project record.
Formulation
Alternative formulas, targets and properties are compared.
Specification management
Material, product and packaging requirements are managed centrally.
Test management
Request, sample, method, result and approval workflows are executed digitally.
Instruments and competencies
Calibration, maintenance and operator qualifications are controlled.
Data integrity
Version histories, audit trails and electronic-signature records are protected.
Do more than record test results;
turn them into production decisions.
Sample results are evaluated against specifications, while deviations, retesting and usage decisions are connected directly to MES processes.
Sample and method
The testing scope is defined.
→Instrument and analyst
Analysis is performed using qualified resources.
→Limits and SQC
Results are assessed against defined rules.
→Release
Approval is transferred to production and inventory.
From information model to live laboratory,
in six controlled steps.
- 01Define the scope
R&D, quality control and validation use cases are separated.
- 02Establish master data
Materials, methods, specifications and codes are standardised.
- 03Design the workflow
Request, sample, analysis, approval and deviation steps are modelled.
- 04Connect instruments
Result transfer and instrument suitability checks are automated.
- 05Validate compliance
Authorisation, audit trail, signature and reporting scenarios are tested.
- 06Close the loop with MES
Usage decisions are connected to production and inventory processes.
Traceable product information
from concept to serial production.
Formulated-product R&D
Food, chemical, cosmetics and consumer-product development.
Quality control laboratories
Raw-material, in-process and finished-product testing.
Design verification
Validating prototype and product performance against specifications.
Regulated laboratories
Operations requiring GMP compliance, data integrity and auditability.
How we turned a similar need
into an operating solution.
Customer and facility information has been anonymized to meet confidentiality obligations.
Let’s assess MES/MOM fit
for your production operation.
We will review your current systems, priority use cases and integration needs with the relevant engineering team.
Request an MES fit assessment Your request is routed directly to the relevant engineering team.