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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

Using artificial intelligence (AI) in manufacturing can significantly improve productivity, reduce equipment failure, increase production efficiency and help identify new business opportunities. The area of AI that manufacturers need to explore to drive their factories into the future is machine learning (ML). The Industry 4.0

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How Modern Software Empowers Procurement with Agility and Resilience in Times of Crisis

ivalua

What we learned about agility and resilience can be applied to future-proof the source-to-pay (S2P) process and help organizations meet any new challenge with confidence. The job of sourcing professionals is to understand the risk in the supply chain and manage it so they can react quickly when a problem occurs.”

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Top 3 challenges facing manufacturers and how to overcome them

SYSPRO Smarter ERP

The manufacturing industry confronted many uncertainties in the last year due to the pandemic. The pandemic has led to many shifts in manufacturing including new challenges to overcome. Here is a list of challenges and solutions for manufacturers to remain resilient and maintain growth momentum. Transitioning to B2B e-Commerce.

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6 Ways Food Manufacturers Can Build Resilience into Post-COVID Planning

Logility

But there is good news: a convergence of process, data, and technology provides the real-time and predictive visibility needed to optimize supply chain planning, ensuring food manufacturers can build resilience now and for the future. Planning Manufacturing Based on Demand. Preparing for Market-Driven Demand.

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The Supply Chain, Internet of Things, and Cognitive Computing

Enterra Insights

A number of analysts believe, in the near future, a symbiotic relationship is going to develop between the supply chain and the Internet of Things (IoT) — sometimes referred to as the Industrial Internet of Things (IIoT). Most manufacturers, however, have not yet fully scaled smart manufacturing technologies globally.”[1]

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How VR, 3D Printing & Predictive Analytics in the IOT are Currently Powering the Manufacturing Industry

GlobalTranz

Newer technologies have created entirely new methodologies for improving manufacturing, and the outlook is brighter than ever. Like any modern business, you can learn great things by looking back at what did and did not come to fruition. Predictive Analytics Became Commonplace to Manufacturing.

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Top 10 Manufacturing Trends For 2019

IQMS

Bottom Line: The top 10 manufacturing trends reflect how manufacturers are planning to achieve their goals of revenue growth, operational improvements, digital transformation, and launching new products and services in 2019. In parallel, there will be more self-service analytics and BI apps specifically designed for manufacturers.