Industrial automation fails quietly long before it fails loudly. Our approach targets the quiet failures—ambiguous scope, untested interfaces, missing rollback, and documentation that diverges from reality on the first shift after handover.
Phase 1 — Discover and constrain
Every engagement begins with listening on the plant floor, not in a boardroom alone. We walk the line, watch changeovers, and ask operators what alarms they ignore. We review existing drawings with scepticism: the as-built is whatever is running, not whatever is framed on the wall. Discovery outputs are a constraints memo: production windows, hygiene rules, spares policy, network rules, and the non-negotiable safety functions.
For consulting-only work, discovery may end with a decision record—retrofit, replace, or defer—and a costed roadmap. For implementation work, discovery feeds a functional description that both maintenance and production can sign without needing a software manual translation.
Phase 2 — Define with testable language
Specifications use testable language. Instead of “system shall be user friendly,” we write “operator can acknowledge a jam and restart zone three in under two actions from the default run screen.” Sequences are modelled as state diagrams where complexity warrants it. Interface documents list tags, update rates, failure modes, and ownership when data is stale.
We align definitions with your internal change management. If you require HAZOP or management-of-change tickets before logic changes, we schedule workshops early so engineering does not outrun governance.
Phase 3 — Prove off the critical path
Bench simulation, FAT, or staged integration in a non-production VLAN are not luxuries—they are how we protect your shutdown window. We bring test scripts that map directly to acceptance criteria. Failures in FAT are celebrated because they are cheap; failures on Sunday night are not.
Software is version-controlled. PLC and HMI exports are tagged to revision numbers recorded in the handover pack. When a site hotfix is unavoidable, it follows the same discipline: change record, backup, apply, verify, update documentation.
Phase 4 — Deploy with rollback
Cutover plans include rollback triggers. If migration exceeds the agreed window or critical KPIs breach thresholds, we revert to the last known-good image rather than improvising under pressure. Night-shift support is planned, not assumed. Communication paths—who authorises a logic change at 2 a.m.—are written down before startup.
Phase 5 — Sustain through hypercare
Hypercare is structured: daily trend reviews, alarm rationalisation tickets, and a punch list with owners. Training is scenario-based—jam recovery, sanitation mode, manual run—not button tours. At hypercare end we deliver an as-built package: logic exports, network diagrams, tag databases, and a short “first faults” guide for new operators.
Risk registers we maintain during delivery
Live risk registers are not bureaucracy—they prevent Friday afternoon surprises. We track technical risks (untested interfaces, long-lead hardware), schedule risks (shared shutdown with mechanical), and organisational risks (pending management approval for bypass removal). Each item has owner, mitigation, and trigger for escalation. Clients receive a summary suitable for project steering meetings without wading through ticket systems.
Vendor and OEM coordination
Machine builders often ship proprietary programs. We define interface bits and handshake timing in writing before integration week. OEM remote support sessions are scheduled in advance with clear agendas; ad hoc VPN marathons are discouraged. When OEM logic must change, we capture version notes in the handover pack so you are not locked to one integrator’s informal relationship with the vendor.
Metrics that matter
We avoid vanity metrics. Useful measures include unplanned stop count attributable to controls changes, alarm rate per shift, integration tag staleness alarms, and punch-list age distribution. During hypercare we review these weekly with maintenance. If metrics do not improve, we stay until root causes are addressed or scope is formally changed—not until calendar hypercare expires.
Commitment
Methodology is only valuable if it shortens the distance between intent and running code. We measure our approach by whether your next project—possibly years later—starts from trustworthy documentation instead of archaeology.