Cloud-native PLM platforms are made to reduce the requirement for bespoke process extensions by providing low-code and no-code automation and configuration features that were previously code-dependent. For instance, modern cloud PLM systems now include native capabilities that address several popular Agile PLM extensions, reducing the need for bespoke programming and ongoing maintenance.
This change means that what was once a developer-driven, manual extension may now be automated within the platform or configured via a no-code interface. Business users can modify processes without writing code while enabling simpler updates and fewer technological bottlenecks through native automation tools, embedded analytics, and configurable workflow options.
Process extensions have long been essential in product development and lifecycle management for customizing systems to a business’s particular operating style. Extensions were a useful way to modify processes, generate reports, and automate actions tied to product release cycles in many older on-premises Agile PLM systems. This allowed engineering, quality, and operations teams to incorporate company-specific requirements into their PLM environment.
With every extension came more complexity and a greater reliance on developers or IT for upgrades, testing, and upkeep. Managing these specialized components frequently hampered innovation and diverted technical resources that could have been used for product development and quicker release cycles as product businesses expanded and market demands changed.
Processes for new product introduction (NPI) require automated, consistent operations. By creating automatic alerts for change orders, quality checks, and team notifications, Agile PLM process extensions have helped automate common new product introduction processes. An extension could, for example, start follow-up work once a design review is finished or send out notifications when a supplier’s approval status shifts.
Process extensions for Agile PLM have various business uses.
Although process extensions offer flexibility, they frequently require more upkeep and rely on technical personnel for upgrades, testing, and updates.
In Agile PLM, a process extension is a custom action or automation that extends the capability of the system beyond its typical processes. It is often performed using code or event triggers. These can be used to customize the PLM process to meet particular business needs, automate tasks, and interface with other systems.
Not all the time. For simple product lifecycle management tasks, a number of typical workflows and features could be adequate. When sophisticated automation, third-party integrations, or special business processes call for features not found in the main product, extensions become essential.
Over-reliance on process extensions can lead to dependency on technical resources, impede upgrades, and increase maintenance work. Platform changes may cause custom code to malfunction, necessitating testing and correction.
Modern cloud PLM platforms frequently include automation, workflow configuration, and analytics technologies that previously required special extensions. These low-code or no-code options enable users to customize processes without the need to create and maintain bespoke code.
