Discrete Manufacturing

Discrete manufacturers generally need software that guides assembly through frequent product changes, ties every part to a serial or lot, and connects to the ERP, PLM and machines already on site. Tulip is a composable frontline operations platform used to implement a composable MES, so a team can start with one use case on one line and expand from there.

Look for work instructions that follow each variant and revision, serial- and lot-level genealogy, real-time work-in-progress tracking, machine connectivity, and governed change control across plants. The option to start small matters too, since a full cutover can put production at risk. On Tulip these share one data model, so data captured for one use case is already there for the next.

Operators tend to drift from the current revision when they work from printed travelers, PDFs or memory. Digital work instructions that pull the approved version into each station, with scanner and tool checks built into the steps, make the latest revision the default. In Tulip, workflows branch by configuration or revision, and engineering changes reach the floor once they're approved.

Visibility into work in progress depends on capturing status where the work happens, from operators, scanners, cameras and machines. Tulip tracks work orders, serials and lots through production, flags bottlenecks as they form, and sends andon alerts to the person who can act. Leaders get the same view across lines and plants.

Suppliers usually need full part genealogy: which components, sub-assemblies and process steps went into each serial or lot. Tulip captures that genealogy at each step by barcode scanning, vision or RFID, and the data can be pushed into customer-required formats or directly into supplier portals. Teams can then trace forward or backward, for example every unit affected by one lot.

A durable approach is to put the expert's method into the work itself, as step-by-step instructions with photos, checks and the right data at each station. With Tulip, AI Composer turns existing SOPs and PDFs into a first version of those instructions, which goes through your approvals before it reaches the floor. AI Chat then lets operators ask questions of your own documentation and see the sources behind each answer.

Yes, and running both in one system keeps genealogy from breaking at the handoff, where a chemistry, coating or formulation step feeds cell, stack or module assembly. Tulip runs both process types in one app architecture and carries lot history to the serial number of every unit built from that lot.

Timelines vary with scope, and a phased replacement, one use case and one line at a time, can put the first use case into production within weeks. With Tulip, each use case goes through your approvals, goes live on the floor, and then expands line by line while the rest of production keeps running. Bloom Energy, for example, replaced its legacy MES with Tulip.

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.