Electronics & Semiconductor
Electronics & Semiconductor: Smart Quality Management at the Thousand-Step Scale
Electronics and semiconductor production runs on a thousand process steps where the consequences of any one going wrong are bounded by the resilience of the system around it. TMG implements PeakAvenue's eQMS, FMEA, variant management, and simulation-based maintenance tooling for fabs, OSATs, and electronics manufacturers, converting ISO 9001, VDA 6.3, and ISO 26262 requirements into the operational discipline that yield, availability, and supply-chain resilience actually require.
Certified quality and stable processes, aligned with the standards your customers require
The platform we deliver is configured against the working set of standards that govern electronics and semiconductor quality, safety, and traceability.
The challenges we address
Process complexity at the thousand-step scale
Semiconductor and electronics manufacturing routinely involves more than a thousand process steps per product. Even a small undetected deviation propagates to scrap, yield loss, or batch failure long after the originating step.
Subprocess silos hide cross-step dependencies
Stakeholders typically own one part of the process. The systemic dependencies between subprocesses, the ones that produce the most consequential failures, are not anyone's primary responsibility.
Repetitive variant analysis in classical FMEA
Slightly different process steps repeated across many product variants overwhelm traditional FMEA approaches. The team spends time replicating analysis rather than identifying genuinely new risks.
Capital tied up in highly automated equipment
Highly automated equipment (MAE) ties up substantial capital. Short downtimes and low utilisation translate directly into lost throughput. Maintenance strategy is, at this scale, a profitability decision rather than an operational one.
Risk, yield, and availability on a single working platform
TMG configures the PeakAvenue platform for the actual workflow your process, quality, and maintenance teams run. The deliverable is a working system that connects DFMEA, SPC, and maintenance strategy on the same data foundation.
Structured risk analysis tied to process control
TMG implements a methodical mapping of functional groups to underlying processes, so DFMEA, Design-for-Manufacturing, and Statistical Process Control reference a common structure. Risks are identified early, the corrective actions land on the right step, and the SPC programme catches the drift before it produces scrap.
Holistic process understanding through model-based FMEA
A model-based approach visualises functional relationships and root causes across the value chain. Linking FMEA to function and failure networks creates a transparency the spreadsheet-based approach cannot reach in highly complex production environments.
Variant configuration from approved templates
Variant management makes new product variants a controlled assembly of approved processes rather than a fresh round of analysis. Product-specific process diagrams configure quickly and consistently, with full AIAG/VDA compliance preserved.
Simulation-based maintenance and lifecycle optimisation
TMG deploys simulation-based maintenance strategy, including servicing intervals, spare-parts holdings, and lifecycle cost evaluation, with reliability-centred maintenance as the underlying logic. The result is predictable availability, transparent cost, and targeted prevention of unplanned downtime on the equipment that matters most.
What electronics and semiconductor sites have realised
The figures below are the platform-vendor-reported gains realised by electronics and semiconductor sites that implemented the programme to depth. Realisation in any given engagement depends on the operating discipline that sustains the implementation.
Engage TMG for your Electronics and Semiconductor programme
The Mantua Group implements PeakAvenue's eQMS, FMEA, and risk-management platform on behalf of clients in regulated industries. We bring the analytical rigour, the regulatory familiarity, and the implementation discipline that turns a software platform into a working quality system.