Identify the immediate failure risks
Machines can look flawless on a spec sheet and still shut down a production run. Ask what single-point failures they’ve observed on similar lines and how those were fixed. I’ve led fault-analysis sessions on device lines where a cheap sensor cost an entire shift; concrete examples and corrective actions show competence, not marketing. Notice whether they record failure modes, not just uptime percentages. A supplier who tracks root causes will spot problems before you call them.
How will they validate sterility and contamination control?
Controlling contamination on automated medical equipment is a tight requirement. Get details on their validation methods: environmental monitoring, bio-burden tests, and how they trace contamination back to a module. Ask for test protocols, accepted limits, and a recent validation report. If their answers are vague, the risk falls on your quality team later.
What is their software update and cybersecurity policy?
Automation is code as much as it is hardware. Demand specifics: how patches are delivered, who signs firmware, and whether updates can be rolled back without halting production. Confirm their approach to network segmentation and encryption. Cyber incidents can freeze devices and expose patient data; treat software governance as a hard requirement, not optional.
Can they integrate with your existing data systems and cloud pipelines?
Compatibility is practical. Ask about supported data formats, APIs, and event streaming. Will they push raw telemetry to your MES or only processed summaries? Get a sample dataset and a timeline for integration testing. A vendor should supply adapter code or clear interface contracts; otherwise you’ll lose weeks reworking connectors.
Who owns the validation evidence and documentation?
Regulatory auditors want traceable evidence. Confirm whether the vendor provides design history files, software change logs, and IQ/OQ/PQ documents that you can include in submissions. Ownership matters during recalls and audits—ensure the contract specifies document delivery milestones and retention periods.
How do they manage spare parts and mean-time-to-repair?
Downtime compounds costs. Ask for MTTR figures, common spare parts lists, and whether they keep local stock. Clarify service levels for on-site repair versus remote guidance. If the vendor insists on shipping parts from overseas with no local buffer, you’ll pay in production delays.
What are the human factors and operator interfaces like?
Operators will interact with consoles, trays, and alarms. Request screenshots, operator manuals, and a walk-through of typical tasks. Check that alarms are actionable and that interfaces prioritize safety-critical steps. Machines designed for engineers but used by technicians create operational errors; prioritize designs that reduce frontal cortex load.
How do they prove repeatability and throughput claims?
Throughput numbers are promises until proven. Ask for a reproducibility study showing variance across runs, not only peak-rate demonstrations. Look for statistical process control charts, sample sizes, and environmental conditions during tests. Real metrics include downtime, yield rate, and unit-to-unit variance—not just units per hour.
Will they accommodate power, energy and thermal constraints—especially for high-density cells?
Power profiles matter when devices interact with energy-dense components. Confirm electrical isolation, heat management strategies, and emergency shutdown behavior. Mention blade battery concerns specifically: ask if they’ve handled equipment near high-capacity electrode lines and how they mitigate thermal runaway risks. Vendors who can cite work related to CATL’s blade battery launch in 2020 or similar large-scale introductions usually understand those thermal and safety dynamics.
What training, support, and knowledge transfer do they provide?
Buying automation means buying expertise. Get a training syllabus, number of trainer hours, and a plan for certifying your staff. Ask whether they offer train-the-trainer sessions and if knowledge transfer is measured. Without structured transfer, you become dependent on vendor visits for every adjustment.
Common pitfalls and how to avoid them
Teams often skip early integration tests, accept vague SLAs, or ignore operator feedback until a production crisis. Run a short pilot that stresses interfaces, not just throughput; insist on a failure-injection test; and require clear escalation flows. Consider alternatives like phased retrofits or modular automation if full-scale deployment looks risky. Also check how the vendor has handled similar electrochemical manufacturing lines—search for suppliers who have visible case studies involving blade battery work and can walk you through mitigation strategies.
Closing synthesis
Ask these questions as if a single oversight could strand an entire production run on the shop floor. Demand concrete evidence: reports, logs, and validation records. Prioritize vendors who show past fixes, clear documentation, and structured training. The right answers reduce surprises and hand control back to your team—precisely the focus built into systems by FHS.
