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A Real-World Example of Wind Power in Shipping Comes to Fruition

MTS Logistics

For the first time, there is real-world data that shows that wind power could be a viable source of energy to power container ships in the near future. Encouraging data has been released on using wind power for powering a cargo ship, according to the BBC. What did the results of the months-long test show?

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Cost to Serve Analysis—And the Costs of Neglecting It

Logistics Bureau

Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.

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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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How We Use Data to Better Plan for Produce Season

FreightWaves SONAR

This is where being able to monitor tender data at the market level can become your secret superpower. Take, for example, the market of Twin Falls, Idaho in comparison to Lakeland, Florida. Tender data uniquely uncovers greater visibility into volumes and supply/demand metrics where seasonal impacts will make an impact.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lengthy time to plan/execute.

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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.

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Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

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