A digital twin is an essential element of the digital thread, connecting the virtual and physical worlds across the value chain of product, production, and performance. The part model combines component information \u2014 that related to the electrical, physical, thermal, and assembly process classification of an electronic part \u2014 into a standards-based digital container defined with an XML schema. The part model schema also comprehends standard interfaces and has the flexibility to access specialized models (for example, an IBIS model) that can be added for an applicable device. The standard also extends electrically to support the notion of reference designs associated with the part model of a specific component.<\/p>\n
This is a game changer because the JEDEC JEP30 Part Model delivers frictionless value throughout the electronics value chain. For example, the part model can be consumed directly by every tool in the product creation lifecycle.<\/p>\n
![\"Figure](\"https:\/\/www.techdesignforums.com\/practicefiles\/2023\/04\/Figure-1.png\")
<\/a>Figure 1. The component digital thread extends value throughout the electronics value chain (Siemens EDA)<\/p><\/div>\n
The part model era<\/strong><\/h2>\nIn the part model era, value creation will shift left to the source: the component manufacturers. As a result, component manufacturers are embracing the JEDEC JEP30 Part Model because it replaces the PDF-based handshake connection between them and their OEM customers with high-bandwidth, intelligent links composed of digital threads. These threads will embed trust and AI-enabled, continuously-updated supply chain intelligence that spans billions of real-time data points related to worldwide electronics part supply, demand, risk, and commercial intent \u2014 generating actionable insights that empower better decisions across the entire product lifecycle.<\/p>\n
![\"Figure](\"https:\/\/www.techdesignforums.com\/practicefiles\/2023\/04\/Figure-2.png\")
<\/a>Figure 2. The part model digital container (Siemens EDA – click to enlarge)<\/p><\/div>\n
By focusing on digital and standards-based part model containers as the means of exchanging information, the digital thread will accelerate the design-in process and eliminate the human error end-customers unknowingly inject when interpreting PDF files.<\/p>\n
Part models are complete digital representations of parts, and many component suppliers are already providing them. Others will follow as more tools are made available to facilitate the transition and validation to the JEDEC JEP30 standard.<\/p>\n
For a given part, the component manufacturer represents the single version of truth. As the shift to digital twins of component data accelerates, building in trust of the component information will be a natural expected progression of the standard.<\/p>\n
You can therefore envision a day when the part model, and more specifically, different sections of the part model will assimilate digital signatures to establish the basis for an immutable ledger that will initiate trust throughout the downstream design chain. Parts will have a \u2018root of trust\u2019 tied to their digital certificates that proves that a given part belongs to that certificate. The certificate proves the component supplier\u2019s identification and certifies that the supplier has completed all the relevant steps to guarantee the integrity of their processes and their supply chain. Similarly, this concept rolls up to the product level. Here, for each assembly, the manufacturer (EMS or OEM) establishes a root of trust that ties to a digital certificate that attests to the integrity of the manufacturing process used for those assemblies. You cannot layer in trust without the digital thread. The digital thread makes it happen.<\/p>\n
Derived value at every step<\/h2>\n
There is so much potential to be realized with the greater digitalization along the electronic systems value chain established by the component digital thread.<\/p>\n
As shown in Figure 3, at every stage of product creation, the part model digital twin will deliver derived value directly to the tools used at each step. In action, part models will enable and empower engineers to make better strategic decision-making at every point in the design process. Use of the models will streamline the design process by shortening dependencies because critical information and model content can be derived from the part model. Most importantly, part models powering the design chain process will improve first-pass success rates because they reduce the risks to successful product delivery caused by time delays and human error that accumulate throughout product creation. The digital thread enables this.<\/p>\n
![\"Figure](\"https:\/\/www.techdesignforums.com\/practicefiles\/2023\/04\/Figure-3.png\")
<\/a>Figure 3. Component digital thread derived value (Siemens EDA – click to enlarge)<\/p><\/div>\n
The potential benefits are enormous when you add up the time and budget savings made possible during new product introduction. No more searching for model content. No more fixing data integrity errors from a third- party model. No more misinterpreting the numbers in DC and AC switching characteristic tables because it was difficult to decode the naming conventions used by a given component manufacturer. No more needless respins.<\/p>\n
Managing electronics today requires a new way of thinking because you need to constantly adapt to the next normal. You do it by empowering your design teams with shifting-left best-of-market supply chain intelligence presented in an engineering context to the point of design. You do it by building systemic cross-functional collaboration within your organization that enables workflows and better cost versus risk trade-off analysis. You do it by shifting from an \u2018inside-out\u2019 mindset \u2014 an over-reliance on data and information stored in enterprise systems which is notoriously inaccurate and out-of-date \u2014 to an \u2018outside-in\u2019 mindset that provides actionable insights from across the value chain to every point in technical and business decision-making.<\/p>\n
<\/a>Figure 2. The part model digital container (Siemens EDA – click to enlarge)<\/p><\/div>\n
By focusing on digital and standards-based part model containers as the means of exchanging information, the digital thread will accelerate the design-in process and eliminate the human error end-customers unknowingly inject when interpreting PDF files.<\/p>\n
Part models are complete digital representations of parts, and many component suppliers are already providing them. Others will follow as more tools are made available to facilitate the transition and validation to the JEDEC JEP30 standard.<\/p>\n
For a given part, the component manufacturer represents the single version of truth. As the shift to digital twins of component data accelerates, building in trust of the component information will be a natural expected progression of the standard.<\/p>\n
You can therefore envision a day when the part model, and more specifically, different sections of the part model will assimilate digital signatures to establish the basis for an immutable ledger that will initiate trust throughout the downstream design chain. Parts will have a \u2018root of trust\u2019 tied to their digital certificates that proves that a given part belongs to that certificate. The certificate proves the component supplier\u2019s identification and certifies that the supplier has completed all the relevant steps to guarantee the integrity of their processes and their supply chain. Similarly, this concept rolls up to the product level. Here, for each assembly, the manufacturer (EMS or OEM) establishes a root of trust that ties to a digital certificate that attests to the integrity of the manufacturing process used for those assemblies. You cannot layer in trust without the digital thread. The digital thread makes it happen.<\/p>\n
Derived value at every step<\/h2>\n
There is so much potential to be realized with the greater digitalization along the electronic systems value chain established by the component digital thread.<\/p>\n
As shown in Figure 3, at every stage of product creation, the part model digital twin will deliver derived value directly to the tools used at each step. In action, part models will enable and empower engineers to make better strategic decision-making at every point in the design process. Use of the models will streamline the design process by shortening dependencies because critical information and model content can be derived from the part model. Most importantly, part models powering the design chain process will improve first-pass success rates because they reduce the risks to successful product delivery caused by time delays and human error that accumulate throughout product creation. The digital thread enables this.<\/p>\n
<\/a>Figure 3. Component digital thread derived value (Siemens EDA – click to enlarge)<\/p><\/div>\n
The potential benefits are enormous when you add up the time and budget savings made possible during new product introduction. No more searching for model content. No more fixing data integrity errors from a third- party model. No more misinterpreting the numbers in DC and AC switching characteristic tables because it was difficult to decode the naming conventions used by a given component manufacturer. No more needless respins.<\/p>\n
Managing electronics today requires a new way of thinking because you need to constantly adapt to the next normal. You do it by empowering your design teams with shifting-left best-of-market supply chain intelligence presented in an engineering context to the point of design. You do it by building systemic cross-functional collaboration within your organization that enables workflows and better cost versus risk trade-off analysis. You do it by shifting from an \u2018inside-out\u2019 mindset \u2014 an over-reliance on data and information stored in enterprise systems which is notoriously inaccurate and out-of-date \u2014 to an \u2018outside-in\u2019 mindset that provides actionable insights from across the value chain to every point in technical and business decision-making.<\/p>\n
![\"Figure](\"https:\/\/www.techdesignforums.com\/practicefiles\/2023\/04\/Fig-4-Digital-Thread.png\")
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