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Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

We explore how predictive analytics and big data with human sentiments can add value and amplify their supply chain strategies. The importance of machine learning and intelligence combined with human touch for optimized decision making. Predictive analytics allows for simulation testing and provides an opportunity to optimize plans.

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Getting Production Scheduling Right

AIMMS

As we discussed in our recent Supply Chain webinar, this is not an easy task if you have a lot of fluctuating demand and uncertainty in your production process. Every business wants to achieve the optimal mix of customer service, smallest logistics cost and inventory carrying cost. We can get decision-making a lot more quickly.

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Getting Production Scheduling Right

AIMMS

Optimized production scheduling enables fast, profitable decision making at Nampak. As we discussed in our recent Supply Chain webinar, this is not an easy task if you have a lot of fluctuating demand and uncertainty in your production process. Any change that we do will impact our ability to deliver the optimal quantity.

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The Power of Outsourcing for Supply Chain Improvement

Logistics Bureau

Across our many blog posts, videos, webinars, eBooks, and other shared content, you’ll find a wealth of information about various aspects of outsourcing in the supply chain. However, I can’t recall writing a general guide about exploiting outsourcing opportunities to improve your supply chain.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.

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15 Improvements by the Deployment of The Internet of Things in the Supply Chain

GlobalTranz

Predictive capabilities and modeling to reduce costs. This leads to greater opportunities for cross-enterprise and cross-industry process innovation and optimization, which contemporaneously drives cost containment while decreasing time to market. Improve service levels. Improve quality levels in real-time.