The Role of PLM in Digital Transformation and Industry 4.0
At CQ, a few months back we published a whitepaper titled “Navigating Global Product Development: Harnessing Next Generation PLM Software for Seamless Data Visibility, Collaboration, and Innovation”.
In this paper, we highlight the following:
- Globalization of the product design and development process, and how it has added complexity to the entire product lifecycle
- Why data visibility across the product lifecycle matters
- Why digital transformation is no longer a “nice to have” but a “must-have”
- Why access to data alone is not enough. There's a crying need for data-driven insights, decision-making, collaboration, and "next steps" planning
Download this whitepaper here to find out more: https://www.compliancequest.com/whitepaper/next-generation-plm-software/
In this blog, we focus on why a modern PLM Software is central to your company’s Industry 4.0 strategy.
What is Industry 4.0?
Often, terms like Industry 4.0 become buzzwords and jargon, but don’t translate well into day-to-day operations.
To understand the impact of Industry 4.0, consider a manufacturing business operating without it. Such a business would likely rely on manual labor and traditional manufacturing methods, leading to slower production rates, higher chances of errors, and less flexibility in responding to market changes. They would miss out on the efficiencies gained from automation, real-time data analytics, and the interconnectedness that defines modern, responsive manufacturing environments. This lack of digital integration would result in lower productivity, increased costs, and reduced competitiveness in an increasingly digital global market.
Seamless connectedness across the end-to-end product design, development, and manufacturing lifecycle lies at the core of modern manufacturing.
Integration of Digital Technologies: Industry 4.0 is characterized by the integration of advanced digital technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing into manufacturing processes. This integration leads to smart factories where machines and systems can communicate and make decentralized decisions.
The Role of PLM Software
Modern PLM software will integrate with the company’s ERP, manufacturing process, and design controls and make it easy to manage Engineering Change Orders (ECO). The following aspects would become streamlined:
- BOM Management
- Engineering Change Management
- Manufacturing Process Design
- Master Parts/Items Lifecycle Management
- CAD Integration
Data-Driven Decision-Making: At the core of Industry 4.0 is the extensive use of data analytics. This enables predictive maintenance, enhances manufacturing processes, and improves supply chain management through real-time data analysis.
The Role of PLM Software
With the right PLM software, access to data and documentation becomes easier. Teams across departments including engineering, product, manufacturing & production, and supply chain get on the same page and there’s cohesiveness in how “next steps, changes, and planning” are done.
If, for example, a supplier is unable to deliver and a component has to be modified - this change gets reflected right from the design stage through final production output.
We’re in 2024 and it’s critical to build an “Insights-Driven Organization” with data analytics at the core of the decision-making and change management process.
Automation and AI: Industry 4.0 heavily emphasizes automation, using AI and advanced control systems to improve efficiency and reduce human error in production lines.
The Role of PLM Software
From “smart recommendations” to automated “next steps planning”, the right PLM software will certainly speed up the end-to-end process - from vision to production.
Let us say, you’re a medical device manufacturer. And, there’s a new regulatory requirement that has come to your attention. If the PLM software is integrated with a QMS, and can automatically send out notifications to relevant regulatory affairs personnel, that would be a major win in terms of not only efficiency but also effectiveness.
With the use of Applied AI, it becomes easier for AI and humans to become true collaborators - and drive agility and nimbleness across the product development and manufacturing process.
Interconnectivity and Collaboration: Industry 4.0 fosters a networked environment where manufacturers, suppliers, and customers are more closely interconnected. This results in collaborative efforts and more efficient value chains.
The Role of PLM Software
Unified Product Data is a key requirement to ensure new product introductions/development efforts are successful. A good product lifecycle solution will integrate product data from various systems like ERP and MES, offering a unified view and keeping teams synchronized.
Overall, digital transformation of the product development process must enable the following:
Elimination of Data Silos: Dispersed teams and product data silos lead to lengthy and risky product development processes.
Enhanced Collaboration and Efficiency: This unification facilitates easier collaboration, making product development faster and more efficient.
Risk Reduction and Part Tracking: The solution helps reduce supply risk and enables tracking of part preferences throughout each design and manufacturing stage.
Eliminating Rework and Reducing Cycle Times: Provides visibility, control, and traceability to implement changes swiftly, thereby reducing rework and compressing cycle times.
Comprehensive Oversight in Development: Ensure complete oversight at each stage of product development, ensuring monitoring of product iterations and early feedback.
Streamlined Collaboration and Accurate Information: Make it easy to maintain accurate product information and streamline collaboration.
Successful New Product Introductions (NPIs): A good PLM process will facilitate achieving successful NPIs by allowing better management of the product's evolution across all stages.
To know more, visit: https://www.compliancequest.com/product-lifecycle-management-plm/