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Industrie 4.0: Its Impact on Supply Chain Planning

ToolsGroup

This puts more pressure on the supply chain to leverage analytics to improve supply chain segmentation and demand translation,” says Gartner Research in a report titled, The Five Things Chief Supply Chain Officers Need to Know about Industrie 4.0. framework.

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2012 Supply Chain Predictions: Is the End of the World Nigh?

Supply Chain Network

Image via Wikpedia It’s that time, once again, when everyone predicts what will happen in the coming year. But 2012 is an extra-special year; it carries heavy historical baggage chock full of dire predictions. In the tradition of David Letterman, (in no particular order) let’s hit the Top 10 Supply Chain Predictions for 2012.

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Gartner Releases a New S&OP Magic Quadrant

ToolsGroup

Financial impact analysis and planning (including predictive financial reports). Performance management and analytics (via scorecards and dashboards). Source: Gartner for Supply Chain Leaders Toolkit, 2014. Source: Gartner Research, 2017. Other high priority capabilities include: Support for global deployments.

S&OP 213
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Use of Predictive Analytics in Supply Chain - Infosys Blogs

Infosys Supply Chain Management

« Managing After-Sales Service by coupling CRM and Asset Management | Main | Adding intelligence in the Forecasting process to support Supply Chain Segmentation » Use of Predictive Analytics in Supply Chain. Based on this analysis the number of staff can also be increased/decreased.

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4 Characteristics of the Evolution of the Supply Chain

Kinaxis

Examples include reconfigurable supply networks, lightweight SDA, cloud-hosted optimization tools, and a digital products supply model. Examples include predictive maintenance, predictive forecasting, integrated optimization, supply and price analytics, “what-if” scenario analysis , and cognitive computing.

Modeling 100
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It’s Time for Supply Chain 2.0! 4 Characteristics to Watch For

Kinaxis

Examples include reconfigurable supply networks, lightweight SDA, cloud-hosted optimization tools, and a digital products supply model. Examples include predictive maintenance, predictive forecasting, integrated optimization, supply and price analytics, “what-if” scenario analysis, and cognitive computing.

Modeling 100
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Global Supply Chain Management: Best Practices and Trends

HICX Solutions

Organizations will need to consider and invest in customer experience metrics and data analytics to understand better what their customers want and enhance the supply chain’s ability to understand this. Global collaboration As supply chains become globalized, so do organizations.