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You've heard the stories. Most CAM departments report than anywhere from 80−100% of designs from new customers are inaccurate or incomplete, often necessitating a Friday afternoon call to the designer. What can be done to optimize the data package and make the handoff to the fabricator as smooth as possible?
The October 2018 issue of Design007 Magazine looks at the design data challenges of today, and offers a variety of solutions that may help stop those calls from your CAM guy.
Read the October 2018 issue of Design007 Magazine, now on the Virtual newsstand, and available for delivery in your e-mailbox by subscribing here.
Be sure to download the PDF version for future reference.
Andy Shaughnessy, Design007 Magazine
I recently spoke with Alex Sapp, director of API commercial strategy at Octopart, about his AltiumLive presentation, “How Resilient is Your BOM?” In this interview, Alex details the takeaways of his class, and some tips and techniques for creating more reliable BOMs and dealing with the current supply chain uncertainties.
I-Connect007 Editorial Team
In under four minutes, episode 11 Connectivity Using CFX and Hermes teaches viewers about Machine-to-machine (M2M), the foundation that drives the smart factory vision, enabling automatic SMT line maintenance and management. The systems should be designed to work with the printer, mounter, conveyor, and other equipment types to simplify communication across the entire SMT line. Presenter Ivan Aduna shares how initiatives such as IPC-CFX, IPC-Hermes, and IPC-DPMX all help to pull the factory of the future into the present.
David Gronner, PCB Technologies Ltd.
Data is omnipresent. At times it goes unnoticed, just waiting there for someone to collect, analyze, and make use of it to create value. Data that seemed irrelevant at the time might come in handy when you need to come up with a solution to a new challenge. When, for instance, you need a reliable quote that can accurately predict a product’s price, you need to base it on past actual operation machine time, raw materials cost, etc. Otherwise, guessing a new product’s price might result in unexpected spending, especially when it concerns sophisticated systems.