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{"heading":"Addressing Product Complexity","shareURL":"https://eda.sw.siemens.com/en-US/pcb/mitigating-risk/product-complexity/","children":"<p>Electronic systems complexity has grown significantly with the advent of multi-board design, advanced node ICs, IC packaging, faster DDR memory, and SerDes buses. Accelerated high-speed signals and reduced electronic form factors with high-density interconnects further intensify product complexity.</p>"}

Addressing Product Complexity

<p>Electronic systems complexity has grown significantly with the advent of multi-board design, advanced node ICs, IC packaging, faster DDR memory, and SerDes buses. Accelerated high-speed signals and reduced electronic form factors with high-density interconnects further intensify product complexity.</p>
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The Pillars of Digital Transformation for Electronics

<p>The electronics industry is fast approaching a new era of digital transformation. Digital technologies create new business processes, cultures and customer experiences by bringing together all the aspects of product design, including mechanical and electrical, and streamlining the entire design process – from product inception through to manufacturing.</p>

Read the White Paper
components of digital transformation of product lifecycle management - requirements drive the mechanical, electronic, electrical, and software development. Those are verified and manufactured, and each part informs the other parts.
Addressing Critical Challenges

Digital Transformation of Product Complexity

Dealing with product complexity requires integration, shared data, and improved intelligence. Model-based systems engineering, engineering productivity and process efficiency tools, and digital prototype-driven verification are the keys to creating next-generation products.

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Model-Based Systems Engineering

Model-based systems engineering covers a spectrum of solutions for full-system design challenges by allowing team members of any domain to view the entire system and model individual pieces at any stage of the design flow.

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Engineering Productivity and Process Efficiency

Process automation, abstraction, reuse, and scalable tool capacity establish frictionless ecosystem connections to improve productivity, throughput, and process efficiency while reducing risk, regardless of design complexity.

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Digital-Prototype Driven Verification

Digital-prototype driven, shift-left verification supports automation technologies that eliminate manual reviews, minimize physical tests, make it easier to find and fix errors and improve productivity and design quality.

Solutions for Product Complexity

Siemens technologies address product complexity with multi-domain integration, shared data, and improved intelligence. Learn how they enable model-based systems engineering, engineering productivity and process efficiency, and digital prototype-driven verification.