Solving the Complexity Challenge in a Software-defined Everything World

This software-defined world is increasing complexity on all fronts, from the design and development process to product and sales. For manufacturing companies, there's a whole set of new challenges.

Addressing Challenges with Enterprise File Storage in Manufacturing

By adopting a cloud-based, unified file system, manufacturers can cut costs in half, while strengthening data protection, simplifying management and enabling global collaboration.

Digital Transformation Roadmap for Manufacturing Industry

The process of creating a digital transformation roadmap in manufacturing can look very different for each organization. It very much depends on where exactly the company stands in its digital journey.

Linux-based Software for Automation

Linux has a lot to offer the automation industry. It is a stable and scalable alternative to Windows operating systems that allows for arguably greater connectivity between devices and systems.

The Integration of Electrical CAD/CAE for Machine Manufacturing

The right technology and high integration enable a company to increase efficiency and reduce the costs of project and maintenance through the systematic knowledge management.

How CAD Software Is Evolving for Manufacturers

The software used for computer-aided design (CAD) has significantly changed how manufacturers complete their projects and meet client needs. Here's a look at some changes this evolution caused:

Simulation Design for Rapid Prototyping

Q&A with Ravi Kunju, Altair: Digital twins offer designers the opportunity to analyze the impact of operational conditions without requiring the production of a prototype until much further along in the manufacturing process when mfg's have a greater certainty of success.

Virtual Reality? How about "Virtual before Reality"

But virtual means much more when it comes to innovating and creating groundbreaking products. In the virtual world, we can simulate and evaluate scenarios before producing the product itself.

An Easy Way to Start Working in the New Generation Ethernet: Time-Sensitive Networking (TSN)

In this paper, an intelligent TSN NIC card is presented. It embeds all the complexity required to connect a standard PC to a TSN network without the need of installing any special software on the host.

Improve without Change: Extending Your Industrial Assets to Do More with What You Have

Data connectivity and collection has evolved past the workarounds and silos that long-plagued industrial ecosystems. New technology is transforming data accessibility-without interrupting your vital processes or requiring new equipment.

How to Optimize Artificial Intelligence in the Manufacturing Industry

Artificial intelligence is an essential factor in the industrial sector when used wisely. Its adoption has brought many advantages to the manufacturing industry. It has made work easier. Let us embrace technology and optimize it in our day to day activities.

Using Open Software in Manufacturing

We see a shift from big, monolithic software by large vendors to modular, highly specific components by smaller ones. This allows manufacturing companies to become more agile in the tools they use, ultimately allowing them to more easily find the best tool for the job.

Understanding the Basics of PLCs

PLCs are special computers designed to control industrial processes and machines. Software PLCs offer great communications functionality through communicating with other computer equipment or controllers.

Why Conventional Planning Fails

This bimodal distribution is rampant throughout industry. It can be very simply described as "too much of the wrong and too little of the right" at any point in time and "too much in total" over time.

Wind River's AXON Predict Analytics for VxWorks Enables IoT Analytics at the Edge

What do I want to eat yesterday? Seems like a strange question. Yet IoT systems are architected to often ask very similar questions by aggregating a massive amount of data in a central repository where every so often a data scientist can evaluate and perhaps realize some insights that would have been best realized and responded to at the time the events were taking place at the edge.

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