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Every manufacturer manages technical product data, whether it sits in a PLM or not. Drawings live on shared drives, BOMs in spreadsheets, change requests in email threads, and the ERP holds yet another version of the product structure. The question is not whether you manage that data, but how much time and how many errors it costs you.
This guide covers the six main PLM use cases in manufacturing: what problem each one solves, how a PLM handles it, and what manufacturers gained in practice.
What is PLM used for in manufacturing
PLM (product lifecycle management) software centralizes technical product data and the processes built around it, from the first design to production and after-sales. In manufacturing, it connects the engineering office with the teams that use its data every day, such as purchasing, quality, and production. For a full definition, see what is PLM software.
Managing technical product data in one place
Problem: technical data ends up wherever people saved it last. The same drawing exists in three versions, nobody knows which one is released, and engineers lose hours every week looking for the right file.
How a PLM handles it: a PLM gives every part, document, and CAD file one controlled place, with a status (in progress, released, obsolete), a revision history, links between objects, and access rights. Each item carries its specifications, drawings, and related documents, so finding the right information takes one search instead of a hunt across folders or endless calls. The PLM connects to CAD tools so that engineers save their work directly into it, without manual uploads.
In practice: for a company that designs both its parts and the molds that produce them, finding the right version of each file is a daily task. After moving its product data into Aletiq, Manuthiers, a French manufacturer of injection-molded technical plastic parts, cut the time its teams spend searching for information by 90%, with full traceability on every version.
Managing BOMs from design to production
Problem: the bill of materials is the backbone of manufacturing, yet many companies still rebuild it by hand in spreadsheets. Every manual copy creates a risk: a missing part, an old revision, a wrong quantity, and the error reaches purchasing or the shop floor.
How a PLM handles it: a PLM builds structured BOMs linked to parts and their revisions. When a part changes, every BOM that uses it shows the impact. The same structure handles product variants, and manufacturing BOMs and routings can derive from the engineering BOM instead of being rebuilt from scratch.
In practice: satellite and launcher assemblies combine many parts, materials, and revisions, and one error in a BOM can delay a whole program. Mecano ID, a Toulouse-based space company that designs mechanical and thermal subsystems and builds composite structures, cut the time it spends managing BOMs by 70% with Aletiq.
Collaborating across engineering, manufacturing, and quality
Problem: engineering works in CAD, but manufacturing and quality need the same data. Without shared access, they work from PDF exports and spreadsheets that are outdated the moment someone makes a change.
How a PLM handles it: a PLM lets anyone open a 3D file without a CAD license, add comments, and tag colleagues. Rights adapt to each role: engineers create and modify, other teams view, comment, and approve. The same goes for technical specifications, regulatory documents, drawings, and other data. Everyone sees the latest released version, and comments stay attached to the part or document they concern instead of getting lost in email.
What changes: purchasing orders the right revision, manufacturing prepares production from the released drawing, and quality checks against the current specification and its full history, without asking engineering for an export first.
At Aletiq, we believe a PLM only pays off when teams outside engineering use it regularly. That depends less on features than on how easy the tool is for people who never open a CAD file.
Controlling engineering changes
Problem: a design change touches drawings, BOMs, suppliers, stock, and sometimes customers. When changes travel by email, the process lasts weeks, if not months, approvals get lost, impacts surface too late, and obsolete versions keep circulating. Late-discovered impacts are where design revisions become costly.
How a PLM handles it: engineering change management (ECM) starts with a workflow model. You define your change process once: each step, the people or teams responsible for it, and the approvals required. When someone needs a change, they launch a new workflow from that model. The PLM then runs it automatically: it notifies the right people at each step, shows where the affected parts are used so reviewers can assess the impact, and collects electronic signatures. When the change is approved, the new revision replaces the old one everywhere at once, and the workflow keeps a complete record of who did what, when, and why. For the full process, see our guide to engineering change management.
In practice: Ciel & Terre, a French specialist in floating solar systems, cut its engineering change cycle time by 70%. Each change now follows one workflow where reviewers see the impact and sign electronically.
Product traceability and compliance
Problem: customers, auditors, and certification bodies ask who changed what, when, and why. Without a PLM, answering means digging through emails and folders, often days before an audit.
How a PLM handles it: a PLM records every revision, approval, and comment in an audit trail. Each part keeps its full history: the reason for each change, the people who approved it, and the documents linked to each version.
That history matters most for certification. Several quality standards require strict control of technical data: ISO 9001 for documented information, EN 9100 and AS9100 for configuration management in aerospace, ISO 13485 for medical devices, and IATF 16949 in automotive. To get or keep these certifications, you have to prove that you manage data the right way: controlled versions, approved changes, and a history you can show at any time. A PLM is the most practical way to provide that proof, because the records exist by default instead of being rebuilt for each audit. Compliance itself still depends on your processes, but the PLM gives you the evidence.
What changes: when an auditor or a customer asks why a part changed, the answer takes a few clicks. The change request, the people who approved it, and the documents of each version are already linked to the part.
Connecting PLM with ERP and quality tools
Problem: the PLM defines the product, the ERP plans purchasing and production, and the quality system tracks nonconformities. When these systems don't talk, teams type the same data twice, and the ERP ends up with a BOM that no longer matches the released one.
How a PLM handles it: a PLM synchronizes the product structure with the ERP automatically, and can bring back other information the teams need, such as supplier data. On the quality side, a nonconformity or corrective action often ends in an engineering change, so the link between the quality tool and the PLM closes the loop. Aletiq connects to ERPs including SAP, Infor, Sage, Cegid, and Dynamics 365. See Aletiq integrations.
In practice: ID Moteur connected Aletiq to its Cegid ERP in both directions in one month. Released parts and BOMs now reach the ERP without anyone typing them twice.
Where to start
At Aletiq, when we launch a new PLM project, we work with you on your roadmap. Once the overall deployment scope is clear, we prioritize your use cases based on their business impact, the pain they cause for teams, and their cost. A cloud PLM makes that step-by-step approach realistic, because each step takes weeks rather than months. Data migration is rarely the blocker it seems: Caillau migrated 350,000 parts from a traditional PLM to Aletiq in 12 weeks. Our PLM data migration guide covers the process.
Conclusion
PLM use cases in manufacturing all come back to the same goal: one source of truth for technical product data, shared by every team that needs it. Data management, collaboration, BOMs, engineering changes, traceability, and ERP integration each remove a specific cost, and the results show up in weeks rather than years when the tool fits the way teams work. To compare platforms, see our PLM software examples and our guide to the best PLM software for manufacturing.
To get a clear idea of how Aletiq would handle these use cases for your company, book a demo.
FAQ
What is PLM used for in manufacturing?
Manufacturers use PLM to centralize technical product data, manage BOMs, control engineering changes, and keep a complete history of every revision. PLM also gives purchasing, quality, and production access to the latest released data, and connects with the ERP so that BOMs flow into planning without manual entry.
How do manufacturers manage technical product data?
Most start with shared drives and spreadsheets, then move to a PDM for CAD files and a PLM once other teams need the data. A PLM stores parts, documents, and CAD files in one place, with statuses, revisions, and access rights, so everyone works from the same released version.
What is the engineering change management process?
Engineering change management is the structured process of requesting, reviewing, approving, and implementing design changes. In a PLM, you define the process once as a workflow model, with each step and the people responsible for it. Each change request then launches a new workflow that notifies the right people, collects approvals, and keeps a complete record.
What is the difference between PLM and ERP for product data?
PLM defines the product: parts, BOMs, drawings, and engineering changes. ERP uses that definition to plan purchasing, production, and finance. Manufacturers usually need both, connected so that released BOMs move from the PLM to the ERP without being typed twice.
How does PLM improve traceability in manufacturing?
A PLM records every revision, approval, and comment in an audit trail, so each part keeps a full history of who changed what, when, and why. That history makes audits faster and provides the evidence that certifications such as ISO 9001 or EN 9100 require, because the records already exist instead of being rebuilt by hand.
Which PLM use case should you start with?
Start with the use case that costs your teams most today, often technical data management or BOMs. Then extend step by step to engineering changes, traceability, and ERP integration. With a cloud PLM, each step takes weeks rather than months.
