Ever wonder what a digital twin is, how it's used, and the benefits? Are there ways to optimize and streamline data flows from Design, production planning, process engineering and manufacturing? Can we get insights from manufacturing to improve and optimize future designs? Can we digitalize our factory to optimize even further?
Then this webinar series is for you!
Jay Gorajia, from Siemens Industry Software, has worked with hundreds of design and manufacturing organizations around the world, driving real improvements in cost, throughput, and quality over his 27 years in the industry. In this 12-part webinar series, Jay will describe how to leverage the Digital Twin from design to production planning and process engineering through manufacturing execution and supply chain. The goal of the series is to define a blueprint for organizations that seek to digitalize and optimize their design to manufacturing processes and manufacturing operations. By the end of the series (oops, spoiler!) you will know how best to optimize throughput, cost, and quality as organizations embark on the digitalization journey.
What is a Digital Twin? Why is everyone talking about it? Organizations large and small are leveraging digital twins to optimize their products, manufacturing performance and extracting insights. Successful implementation of the Digital Twin includes optimizing data flows from design through production planning and into manufacturing execution. In this webinar we review all that, and describe how to implement intelligent PCB Design to Manufacturing handoff and collaboration.
Design for Manufacturability is part of most organizations' design flow, whether leveraging the eCAD tool's capabilities, or external viewers, or even just looking over a designer's shoulder. However, is your DFM done at the right times during the design flow to drive Time to Market and hit target cost? Is your DFM process leveraging the Digital Twin of the manufacturing process to ensure first-time-right design build? Learn how, in this webinar!
Digital Twin of product should leverage accurate virtual models to manage risk early and optimize data generation downstream. In this segment, we review what an accurate virtual model of components looks like, and how to best leverage it for right-first-time product.
Designers are in the critical path to enable manufacturers to develop and implement the best test and inspection strategies to ensure quality product. However, most testability best practices are not systemic, but rather experience-based and tribal. How can organizations improve testability of products as early as during schematic capture or design? Watch this webinar to learn how.
It is generally accepted that vertically integrated organizations consider PCB assembly a disconnected part of their product realization systems and ecosystem. In truth, it is. mCAD and mechanical systems have tightly coupled design to manufacturing processes. When we get into the electronics design, they seem to throw the designs over the wall, and very little insights come back. We're here to change that. In this segment, we explore how to integrate actual manufacturing process definitions, manufacturing outputs and recipes into the same environment in which design data is managed. This "single point of truth" provides strong revision control, workflows, and change management governance. Most importantly, learned insights are fed back into design to drive continuous improvement throughout the product realization process.
Manufacturers have many different types of equipment, from various different vendors, each with their own software. Bringing design data into each of those systems is not only redundant, but may inadvertently add inaccuracies, which might in turn lead to manufacturing issues. Join this webinar to learn how a single dataset and parts library can drive all equipment without the redundant translation risk.
Driving the best inspection and test strategy requires extensive processing to achieve the best solution. However, test strategy definition is a lot of 'art' mixed in with the science, and any Test Analysis and Programming solution must be able to support that mix. In this segment, we focus on building the best inspection and test outputs, leveraging learning libraries and allowing some 'art.'
Manufacturers have many different types of equipment, from various different vendors, each with their own software and databases. However, it is vital to ensure the component part data created is accurate and consistent. How can organizations have validation and consistency with all the unique and siloed software databases from each hardware vendor? Tune in to this webinar to find out!
With the considerable investment in automation of the PCB assembly process, why is it a challenge to get data from the production line? ODB++ Manufacturing extends the digital thread to the shop floor and provides a normalized view of manufacturing. Having a standardized data stream is only part of the challenge. Join this webinar to learn more about shop floor data acquisition.
Material accounts for 80% of PCB assembly costs. If not managed correctly, margins can be cut even further. Why is ERP on its own not enough, and how is full visibility of materials on the shop floor achieved? Join this webinar to understand how to augment ERP material management capabilities with a shop-floor material management system designed for electronics manufacturing.
With the growing availability of business data comes a growing gap in the ability to make use of the information. In order to transform raw data into actionable analytics, information needs to be formatted in a way that provides insight into the correlations between seemingly disparate datasets. This webinar shows how Big Data is transformed into Smart Data that can be used to drive process improvement in the factory.
Why are Manufacturing Execution Systems so important in the drive toward Smart Manufacturing? Occupying the middle ground between the shop floor and the Enterprise, MES plays a broad role in the digital factory. This webinar will describe the functions of the MES and compare an integrated approach to standalone point solutions.