Manufacturing
Manufacturing Quality, Reliability, and Functional Safety on the PeakAvenue Digital Thread
Modern manufacturing runs on the orchestration of Uptime, Overall Equipment Effectiveness, Total Productive Maintenance, and Six Sigma quality discipline, supported by an integrated software stack that connects requirements, FMEA, SPC, supplier quality, and production data on a single working data model. TMG delivers the PeakAvenue software portfolio (eQMS Platform, FMEA Software, iqs Quality Center, System and Function Analysis, and Supply Chain Management) and the implementation discipline that turns a software installation into a working quality system.
Built for the standards your customers, regulators, and auditors apply
The platform we deliver is configured against the working set of standards that govern manufacturing quality, functional safety, failure analysis, and operating discipline today.
Uptime, OEE, TPM, and Six Sigma: the working language of modern manufacturing
Four interlocking disciplines define how a high-performing manufacturing operation measures itself, organises itself, and improves itself. Each is a complete subject in its own right; each depends on the others to deliver value at the operating level. The PeakAvenue software stack TMG implements is configured to support all four together rather than any one in isolation.
Uptime
The fraction of scheduled production time the equipment is actually running. Uptime is the foundation metric below OEE and the working language of the maintenance-economics conversation, anchoring lifecycle-cost analysis, capital-investment decisions, and the trade-off between planned shutdown and unscheduled failure.
Overall Equipment Effectiveness
OEE is the product of Availability, Performance, and Quality, the single most-used aggregate metric in modern manufacturing. World-class OEE sits near 85 per cent; typical operating sites report 60 per cent. Improving OEE means improving one or more of three independently measured pillars, each diagnostic of a different operating constraint.
Total Productive Maintenance
TPM is the operating discipline that moves maintenance ownership from the maintenance team into the operator team. The eight TPM pillars (autonomous maintenance, planned maintenance, focused improvement, early management, education and training, quality maintenance, office TPM, safety and environment) reframe the shop floor as an integrated operating system rather than a sequence of handoffs.
Six Sigma and Lean Six Sigma
The DMAIC discipline (Define, Measure, Analyze, Improve, Control) targeting 3.4 defects per million opportunities. Combined with Lean, the resulting Lean Six Sigma programme eliminates variability and waste in parallel. The statistical rigour of Six Sigma and the elimination-focused logic of Lean are complementary; the combined programme is the operational backbone of high-performing manufacturing sites.
The challenges we address
Variant complexity overwhelms classical FMEA
Model diversity, configuration options, and customer-specific variants multiply the number of slightly different process steps that have to be evaluated. Traditional spreadsheet FMEAs become resource-heavy without producing a proportional gain in risk insight, and the variant work consumes engineering capacity that should reach the product.
DFMEA to PFMEA traceability drifts under revision pressure
Design FMEA outputs are supposed to flow into Process FMEA inputs, and from there into the control plan and the inspection plan. Without a connected data model, the traceability path is reconstructed manually at every revision, and the drift between what the DFMEA identified and what the PFMEA controls becomes the gap that defects fall through.
Data silos between development, production, quality, and supply chain
When requirements, design intent, FMEA outputs, inspection criteria, production data, and supplier quality signal sit in disconnected systems, traceability fails. Recalls, rework, and warranty cost rise; root-cause analysis takes longer than it should; and audit preparation becomes a multi-week internal scramble.
Functional safety evidence runs on parallel paperwork
ISO 26262, IEC 61508, and IEC 50126 each impose evidence requirements that, in practice, the same engineering team produces. Maintaining three parallel documentation sets for one product family is unsustainable and the divergences that creep in are exactly what auditors find.
Five connected modules on one data model, not five disconnected installations
The PeakAvenue Software portfolio TMG implements is built around a single data model that spans engineering, quality, supply chain, and requirements. Each module below carries its own documentation page, but the operational gain comes from the connection between them, the digital thread the eQMS maintains across the product lifecycle.
PeakAvenue eQMS Platform
The PeakAvenue eQMS unifies engineering, FMEA, quality control, supply chain, and requirements management on a single connected digital thread across the product lifecycle. DFMEA, PFMEA, control plan, inspection plan, supplier quality records, and production data reference the same data model, eliminating the rekeying and reconciliation cycles that fragment quality programmes today.
FMEA Software (PLATO e1ns and APIS IQ-Software)
PLATO e1ns provides cloud-based product and process FMEA with full AIAG / VDA harmonisation. APIS IQ-Software handles the deep functional-safety analysis required for ISO 26262, IEC 61508, and IEC 50126 compliance, including the FMEDA quantitative safety analysis that those standards expect. The DFMEA to PFMEA traceability path is preserved across product variants and revision cycles by construction.
iqs Quality Center (CAQ / QMS)
The iqs Quality Center covers the complete quality-control cycle: incoming-goods inspection, in-process Statistical Process Control, audit management, 8D complaint handling, PPAP production part approval, corrective and preventive action tracking, and quality KPIs. The result is a closed-loop quality system that catches process drift before it becomes scrap.
System and Function Analysis
Structured system models that connect requirements, functions, and failure modes into a coherent engineering foundation. Model-Based Systems Engineering connects what the customer needs to what the design delivers, with traceability through to the FMEA and the verification plan. Reduced development time, improved FMEA completeness, and a single source of truth for the requirements baseline.
Supply Chain Management
Transparent, structured collaboration with suppliers through centralised processing, real-time status visibility, standardised quality procedures, and automated communication. Supplier quality moves from email-tracking to systematic execution, with administrative burden reduced on both sides of the chain and the supplier audit trail integrated into the eQMS.
Each module is documented in depth on its own page: eQMS Platform, FMEA Software (PLATO e1ns plus APIS IQ-Software), iqs Quality Center, System and Function Analysis, and Supply Chain Management. The integration between them is the working deliverable; TMG provides the implementation, configuration, and operational discipline that turns the integrated stack into the working quality system the standards expect.
What manufacturing sites implementing the PeakAvenue stack realise
The figures below are the platform-vendor-reported gains achieved by manufacturing sites that implemented the programme to depth. Realisation in any given engagement depends on the operating discipline that sustains the implementation, which is the work TMG is engaged for.
Engage TMG for your Manufacturing programme
The Mantua Group implements the full PeakAvenue software portfolio for manufacturers operating under IATF 16949, AS9100, ISO 9001, ISO 13485, ISO 26262, IEC 61508, and IEC 50126. We bring the analytical rigour, the regulatory familiarity, and the implementation discipline that turns a software platform into a working quality system, with the operating-discipline focus on Uptime, OEE, TPM, and Six Sigma that production economics actually depend on.
