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Network Investment. Defining the ROI.

Supply Chain Shaman

The supply network–shipments and production of trading partners–represents over 70% of the environmental impact of supply chain decisions. Despite the importance, the investment in networks to automate the information flow between trading partners remains low. Networks take three forms–demand, design, and supply.

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Purchasing Manufacturing Network Design Software? Consider These Factors

River Logic

Manufacturing network design software focuses on optimizing plant locations, capacity, and product flow paths. Since COVID-19, companies need more flexibility and agility in scenario analysis, so they can ensure their networks are resilient to continued disruption.

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Technology Improves Manufacturing Disaster Preparedness

DELMIA Quintiq

Disaster preparedness is imperative everywhere, but that goes double for the manufacturing industry. Thankfully, technology provides ways to ensure business continuity and peace of mind. There are many technologies companies can use to better understand, gather data from and visualize their entire supply chains.

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Transforming Manufacturing Operations with Supply Chain Technology: 3 Key Areas to Invest In

Logility

As a manufacturing leader, you’re faced with constant disruptions, labor shortages, and the threat of job loss — time is of the essence. The time is now to take action and invest in technology to optimize your operations, streamline your workflows, and enhance supply chain efficiency across the board. If you’re one of the 67.4%

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Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Creating a strategic digital twin (digital representation) of your supply chain network. What's inside?

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5 Ways Businesses Are Uncovering Success With AI In Manufacturing

ToolsGroup

Automation is at the center of modern manufacturing businesses, with companies exploring the possibilities of artificial intelligence in improving workflows and profitability. Industrial engineers incorporate these technologies in designing and fabricating advanced manufacturing systems. Breaking Down the Definitions.

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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