This content originally appeared on DEV Community and was authored by Helitha Rupasinghe
Product Lifecycle Management (PLM) is about handling a product from cradle to grave, covering everything from initial design to manufacturing, service, and disposal.
Key terminology
Here’s a simplified breakdown of key terms:
Digital Twin: This is a virtual version of a physical product that is updated in real-time using data from sensors. It’s used during all phases of the product development lifecycle.
Digital Thread: A framework that links the digital and physical worlds, helping makers improve products and processes.
Internet of Things (IoT): Devices with sensors and software that connect and share data over the internet.
Industrial Revolutions:
Industry 1.0 (1760-1840): The first Industrial Revolution. It moved production from handcrafting to machines powered by water and steam, mainly in Britain. Key inventions were the steam engine and weaving machines.
Industry 2.0 (1870-1914): This saw electricity and assembly lines take over, boosting production. Think electricity, the Model T, and better steel.
Industry 3.0 (1950s-1970s): The rise of computers and automation. Key tech included transistors, PLCs, and early robots.
Industry 4.0: Today’s revolution, integrating digital tech into industry. It relies on IoT, AI, big data, cloud computing, and 3D printing.
History
The term PLM was popularised in the 1980s due to the need for better product data handling. American Motors Corporation (AMC) and Renault created one of the first systems like it when developing the Jeep Cherokee (XJ) in 1985. By using a central database to handle engineering data, they cut down on development time and costs.
In the 2000s, PLM became more than just an engineering tool. Companies like Siemens, Dassault Systèmes, PTC, and SAP grew PLM platforms by adding them to ERP, SCM, and CRM systems. Industries like consumer electronics and medical devices started using PLM too.
By the 2010s, PLM became the digital backbone for Industry 4.0. Companies began putting PLM into Industry of Things (IoT) and smart manufacturing, so product data moved smoothly between design, the factory, and actual use.
Now, PLM is the single source of truth for product and process data across an entire company powered by data driven and AI analytics. Key trends in PLM include:
AI & Machine Learning: used for predictive design, quality control, and making products better.
Cloud-native PLM: Easy to get to, scalable, and works with SaaS systems.
Sustainability: keeps track of environmental impact and compliance.
Blockchain: serves as a single source of truth for product data.
Recap
Essentially, PLM began as a way to handle engineering drawings. It grew into combining design and manufacturing. Now, it acts as a digital backbone for entire businesses, boosting innovation, efficiency, and sustainability in product development.
References
https://en.wikipedia.org/wiki/Product_lifecycle
This content originally appeared on DEV Community and was authored by Helitha Rupasinghe