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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

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6 Inventory Control Techniques for Stock Optimization

EazyStock

Inventory Control Techniques that use Stock Optimization Best Practices. There are hundreds of inventory control blog posts on how to organize warehouses, track goods and pick and pack efficiently. What is stock optimization? 6 Inventory Control Techniques to Optimize Stock Levels. Understand your demand.

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Tata Steel Makes Strides Towards an Autonomous Supply Chain Powered by Optimization Technology

AIMMS

Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . I work for the analytics department within Tata Steel.

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Why near-real-time electronic freight tender trucking data is more reliable than waiting on submitted data

FreightWaves SONAR

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

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Why is freight data a powerful weapon in the era of COVID-19?

FreightWaves SONAR

The COVID-19 crisis unveiled major issues within global supply chains and, as we have seen with SONAR freight data, volatility in the market. For those that make the right applications of freight data, the massive problems created by the pandemic could have been more easily mitigated.

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How Data Can Improve Last-Mile Delivery

Shipchain

But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.

Data 62
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Capitalizing on ERP trends in 2024

SYSPRO Smarter ERP

Although machine learning models have been in place for some time, they are now becoming much more prevalent because of the high volumes of data in ERP systems. AI also enhances manufacturers’ ability to collect, aggregate and analyze sensor data in real time for production analytics.

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