Remove Manufacturing Remove Manufacturing Procurement Remove Network Optimization
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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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Being Adaptive Drives Resiliency and Margins in Collaborative Supply Chain Networks (CSCN)

Logistics Viewpoints

Supply side shifts: Example: A global coffee manufacturer experiences disruptions due to a natural disaster affecting one of its key suppliers in Brazil due to dry weather. They underwent a thorough Network Optimization exercise to identify the roadmap of transitioning to a hybrid offshore/nearshore model.

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Global Manufacturing Levels Contract Again in August 2024

Supply Chain Matters

The August data further reinforces indications of a global manufacturing slowdown. Global Manufacturing Output Levels Global-wide manufacturing levels as reported by the J.P. Global Manufacturing Output Levels Global-wide manufacturing levels as reported by the J.P. This composite index produced by J.P.

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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. How AI Is Changing the Manufacturing Industry.

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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. Scenario analysis and optimization defined. Creating a strategic digital twin (digital representation) of your supply chain network. Optimizing your supply chain based on costs and service levels. Network design for risk and resilience.

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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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Philip Morris Drives Manufacturing Insights Using A Digital Twin

Supply Chain Shaman

In our pandemic research, we interviewed thirty manufacturers. To gain insights, we interviewed Alexandros Skandalakis, Director of Manufacturing Capacity, reporting to operations/manufacturing globally within Philip Morris. We wanted to find a better way to design our network and optimize future manufacturing outcomes.