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Product Lifecycle Management software allows companies to manage the entire lifecycle of a product. These stages include concept and design to production, distribution, maintenance and recycling of a product. PLM software makes sure that all teams involved — like electrical, mechanical, software, purchasing, and sales — follow the same process. They all use the same central data source.
This software therefore allows teams to work together using the same overview of product data. Some data may include information like the parts used, any regulations, work processes and material requirements.
If something changes during a lifecycle stage, the PLM software updates all related data. For example, if there is a shift in the supply chain, the software responds quickly to ensure compliance. The real-time updates also reduce errors that may slip through the lifecycle.
Difference between PLM and PDM software
Product Data Management (PDM) software is a management solution for the storage and organisation of product data. The data includes CAD files, parts lists, and documentation within design and production processes. PDM software focuses primarily on the management of technical data and versions.
A key difference is that PDM software manages product data only during the design phase. In contrast, PLM supports the entire life cycle of a product. PLM software offers a comprehensive view of a product while PDM software focuses on its technical details. Manufacturing industries such as the food and beverage sector use PLM and PDM software.
Benefits of PLM and PDM software
Since PLM and PDM software rely on a centralised data source, everyone involved accesses the same updated product data. This consistency improves accuracy and efficiency, streamlining workflows across the entire production chain. As a result, companies can develop products faster and bring them to market more quickly.
PLM and PDM software enhances collaboration amongst all parties. Greater communication results in greater efficiency and productivity, reduced costs, better product quality and greater compliance.
PLM software is also a prerequisite for innovation. Industrial organisations can filter useful insights from the central data source. What are the consequences of an engineering change on time-to-market or production costs? When can we expect to replace or maintain a product component?
How to Implement PLM Software
Industrial organisations can benefit from a structured approach to implementing PLM and PDM software. PDM integration starts with developing a clear strategy that outlines key standards for workflows, revision management, and data governance.
Companies should thus define their requirements for bills of materials, CAD files, and any other documentation. This plan will ensure you meet all compliance and operational needs. Identifying the systems that PLM software must integrate with is crucial. This may include software like ERP, CRM, or engineering tools.
You will then decide which processes take priority, and whether you will use cloud or on-premise solutions. With most PLM and other integrated systems you can choose between both. Sometimes there are also hybrid variants.
PLM Implementation: Challenges and Solutions
Implementing and integrating PLM software is likely to encounter some problems. For example, there is often resistance to change amongst employees. You can reduce this resistance by involving everyone in a PLM implementation or integration from the beginning. Ask your staff about any preferences they may have and let them experience the benefits of an PLM implementation.
Data integration and security is an increasing concern considering regulations. You can address these concerns by highlighting how a central data source standardizes processes across the entire lifecycle. Over time, this will enhance both security and compliance.
Future Trends in PLM and PDM Software
PLM and PDM software are expanding to include more disciplines and systems. Beyond ERP, CRM, and mechanical engineering, they are now seamlessly integrating with electrical and software engineering tools. This decision will create a more comprehensive data source.
Cloud-based PLM and PDM solutions are also becoming more common. The cloud simplifies data and process management, enhances security, and ensures company-wide compliance while saving time.
AI, machine learning, and data analytics are all used to extract deeper insights from PLM systems. Although still developing, this technology can identify patterns, predict component lifecycles, and assess the cost impact of production changes. Overall, these insights can help businesses to make more informed decisions.
PLM Integration
Engineering data plays a crucial role in a PLM system. Eplan designs its products to work well with major PLM systems. This includes PLM software like Siemens Teamcenter and Autodesk.
To facilitate this, Eplan developed the Eplan Integration Suite. We made a software layer that links PLM systems with different Eplan products. These products can include Electric P8, Pro Panel, and Harness ProD. This integration ensures smooth data flow across engineering and product lifecycle processes.
This integration ensures smooth data flow across engineering and product lifecycle processes. But a successful integration also requires good preparation. Eplan also assists in mapping out key engineering processes before PLM integration and prioritising tasks through a Scoping Workshop.
The more complete a PLM system, the greater the benefits, since more data leads to more accurate insights. These insights are precisely important in today's industrial automation to remain innovative and agile.
Closing Thoughts
PLM and PDM software are essential tools for modern industrial automation. PLM allows organisations to streamline operations, improve collaboration, and enhance product quality. By centralising product data, these systems ensure that all teams current information. This consistency reduces errors, accelerates time-to-market, and supports compliance with industry regulations.
PLM and PDM software will only continue to evolve. Cloud adoption will further simplify data management and compliance while AI, machine learning, and analytics will reveal greater insights. These advancements will enable businesses to predict maintenance needs, analyse impacts of design changes, and optimise production processes.
For a seamless PLM integration, choosing the right partners and tools is key. Solutions like Eplan Integration Suite help transition between engineering data and PLM systems. Proper preparation, such as mapping engineering processes and setting priorities, lays the foundation for a successful integration.
Investing in PLM and PDM software is becoming increasingly important for businesses who wish to remain competitive. A well-integrated PLM system is key for companies aiming to innovate and adapt in the industry.
Want some extra help from the Eplan Team? Why not learn more about our Eplan Subscription Consultancy option? Implementing PLM software is a great use of one your consulting days so that you can hit the ground running.
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