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Quality Digest
Published: Monday, October 30, 2023 - 10:59 (CIMdata: Ann Arbor, MI) -- CIMdata Inc., a leading global PLM strategic management consulting and research firm, announced an upcoming free educational webinar, “How Product Manufacturing Information Enables Digital Transformation.” The one-hour webinar will take place on Thursday, Nov. 9, 2023, at 11:00 a.m. Eastern. Product manufacturing information (PMI) is the technology that associates geometric dimensioning and tolerancing (GD&T) and annotations directly to 3D models. It has been available for more than 20 years. During this time, it has evolved from proprietary data used within a single solution provider’s tools to a STEP standard with cross-solution interoperability. In this webinar, CIMdata will cover the basics of PMI, how it fits into a comprehensive PLM strategy, some common PMI use cases, and describe a project that leverages PMI as part of a digital transformation or product development process improvement program. Attendees at this webinar will learn: Tom Gill, CIMdata’s practice manager for PLM Enterprise Value and Integration and the host for this webinar, says, “PMI is a proven foundational technology that enables model-based enterprise strategy and positively impacts time to market and product quality when properly implemented. While success stories exist, few companies have fully embraced PMI and incorporated it into their processes. The process changes enabled by a robust implementation of PMI should be on every PLM road map.” Gill has 35 years of experience applying computer-based solutions to engineering and manufacturing. Before joining CIMdata, he worked as an independent PLM consultant after spending more than 20 years at high-volume manufacturing companies. He has worked in numerous industries, including fabrication and assembly, food and beverage, defense, chemical, and medical devices. He has executed PLM strategy projects, solution evaluation and selection projects, deployment planning, and training development for industrial clients. This webinar will help anyone responsible for defining and managing product information-related business processes, such as directors and managers within product development, manufacturing, and service. It will also interest PLM solution-provider employees responsible for sales, marketing, and consulting. During the webinar, attendees will have the opportunity to ask questions about the topics discussed. Learn more here and register for the webinar here. Quality Digest does not charge readers for its content. We believe that industry news is important for you to do your job, and Quality Digest supports businesses of all types. However, someone has to pay for this content. And that’s where advertising comes in. Most people consider ads a nuisance, but they do serve a useful function besides allowing media companies to stay afloat. They keep you aware of new products and services relevant to your industry. All ads in Quality Digest apply directly to products and services that most of our readers need. You won’t see automobile or health supplement ads. So please consider turning off your ad blocker for our site. Thanks, For 40 years Quality Digest has been the go-to source for all things quality. Our newsletter, Quality Digest, shares expert commentary and relevant industry resources to assist our readers in their quest for continuous improvement. Our website includes every column and article from the newsletter since May 2009 as well as back issues of Quality Digest magazine to August 1995. We are committed to promoting a view wherein quality is not a niche, but an integral part of every phase of manufacturing and services.Free Webinar on Product Manufacturing Information and Digital Transformation
Part of CIMdata’s educational series
• What PMI is and how it can be applied
• The value of PMI by applying use cases
• What is required to get PMI deployed and functioning properly within an organization
• How to incorporate PMI into a digital transformation program
• How to leverage PMI to shorten time to market and improve data and product quality
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