Keep throughput and yield steady as designs change
Show operators approved engineering changes, trace each serial, and catch defects early.
For electronics and robotics teams running manual, multi-step assembly, designs change between builds and launch windows are tight. Holding yield steady usually depends on how fast an approved change reaches the people building the product.
Tulip is a composable frontline operations platform used to implement a composable MES. Because it works alongside the ERP, PLM, machines and devices already in place, teams can guide each build, capture genealogy as work happens, and carry what works to the next line.
Step-by-step instructions put the current revision in front of operators, with photos and checks at each step. Once a design change is approved, it's what operators see and build, and new hires can get productive without weeks of shadowing a veteran.
Follow work orders and serialized units through each station, see where WIP is piling up, and send andon alerts to the person who can clear it. Supervisors can spot a stalled line while there's still time in the shift to recover.
Camera-based checks with Tulip Vision flag anomalies at the station, before a unit moves on and rework gets more expensive, which takes some of the inspection load off operators. Defects get logged with photos, so they're tracked from the moment they're found.
Record which component lots, tools, operators and inspection results went into each serial number, captured by barcode scan, vision or RFID. When a field return lands, trace forward or backward to find the other units that may be affected.
Guided kitting shows material handlers which components to pick for each work order and revision, so kits reach the line complete and correct. Fewer missing or wrong parts at the station tends to mean fewer stops and less rework once assembly starts.
Start a composable MES on one new line, or replace a legacy system one use case at a time while production keeps running. Use cases share one data model, so the next line starts from what the last one proved.
How electronics and robotics manufacturers keep each build current, trace each unit and connect new lines without adding risk to production, on one composable platform in place of a rigid MES, separate point tools, a generic app platform or paper travelers.
Start with one use case on a line that runs on paper or a legacy MES, go live in weeks, and bring the next line or greenfield site up from a proven template. Changes go through your approvals before they reach the floor, so new sites start from what already works.
Work instructions, inspections, machine data and genealogy for a serial sit on one shared data model, so a warranty claim or containment question can be answered in one place. Engineers can ask questions of that data in plain language with AI Insights and get charts back.
Work instructions connect to tools, scanners and vision systems to error-proof assembly at the station, and machines connect through OPC UA, MQTT and Modbus, with 700+ supported devices. AI Composer turns paper SOPs and PDFs into a first working version that goes through your approvals before operators see it.
Electronics manufacturers usually need software that keeps operators on the current revision as designs change, records serial-level genealogy, and connects to the ERP, PLM, machines and devices already on the line. Tulip is a composable frontline operations platform that acts as that execution layer, and some manufacturers use it to implement a composable MES, often starting with a single use case on one line.
Look for revision-driven work instructions, in-process inspection, serial and lot genealogy, connections to ERP, PLM and machines, and change control that holds up across lines and sites. It also helps to start with one use case and add more later. On Tulip these share one data model, so each new use case builds on the data the last one captured.
Engineering changes tend to reach the line slowly when instructions live in printed PDFs or binders that someone has to swap out. Digital instructions tied to the released revision shorten that gap, since operators see only what's been approved. In Tulip, workflows can branch by configuration or revision, and each change is approved before operators see it.
Errors during ramp-up tend to compound when guidance and traceability get added after production has started, so it helps to have both in place from the first build. Tulip lets process engineers author instructions and checks for a new product and update them as the design settles, with each version reviewed and signed off before operators see it.
Defects tend to be cheapest to fix at the station that caused them, before more work is added on top. Inspections built into each workflow, with gated checks and photo capture, usually surface problems earlier. In Tulip, nonconformances are routed for review and disposition as they're logged, and Tulip Vision can help operators spot anomalies during inspection.
Training tends to hold up better when it happens at the station, inside the same instructions operators build from, so a design change updates the training too. Piaggio Fast Forward, which used Tulip as the MES for new autonomous-robot production lines, reported reduced operator training time. For teams starting from paper, AI Composer can turn existing SOPs and PDFs into a first working version of step-by-step instructions, which go through approvals before they reach the floor.
Yes. Tulip works alongside the ERP and PLM you already run: they stay the systems of record, and you decide what data stays in Tulip and what passes through to them. It connects through REST APIs, database connectors, and OPC UA, MQTT and Modbus for machines, with 700+ supported devices and library connectors that include SAP S/4HANA, NetSuite, PTC Arena and Aras.
Yes. A central team authors a standard once and deploys it across plants, and each site adapts it to its local equipment and language while the process underneath stays the same. Role-based access, version control and approval workflows are managed at the platform level, with central visibility across lines and locations.
Tulip connects through REST APIs, database connectors, and OPC UA, MQTT and Modbus for machines, with 700+ supported devices and a connector library that includes SAP S/4HANA, NetSuite, PTC Arena and Aras. Your ERP, PLM and other systems stay the source of truth, while Tulip surfaces the right data to operators in real time.
Tulip AI works from your own production data and documentation. AI Composer turns SOPs into a first working version of an app, AI Chat answers operators' questions from your documents with sources cited, and AI Insights lets engineers ask questions of production data in plain language. Operational data isn't retained by LLM providers or used to train their models.
See how discrete manufacturers raise output with guided assembly, live work-in-progress tracking and serial-level genealogy.