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The One Key Shift in Your Supply Chain and Procurement Strategies that can Drive Better Business Continuity and Resilience

Logistics Viewpoints

In today’s dynamic and unpredictable business environment, companies face various challenges such as changing consumer demands, global uncertainty, and the impact of natural and man-made events. The purchasing of products at companies can be looked at in terms of two major dimensions: supply risk and impact on production (Figure 1).

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Best Logistics Management Software: Everything You Need to Know Before Making a Purchase Decision

ThroughPut

It’s no longer just about getting goods from A to B; it’s become a vital piece of the supply chain puzzle. Everything is connected – what happens in one part of the supply chain can shake things up in logistics, and the other way around. That is why logistics management software (LMS) is so much more today than what it used to be.

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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

Welcome to part three of our AI in Supply Chain blog series. In this blog, we explore the different types of predictive AI models for supply chain risk management. In our second AI blog of the series, Predictive AI vs. Generative Supply Chain AI , we looked at the difference between predictive AI and generative AI.

Modeling 107
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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. I know that your primary focus is procurement. The distribution models were never tested when implemented.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

His comments are the same–he feels that I identify problems but do not adequately define the solutions. While consultants know the answers (or believe they do), I believe my goal as a research analyst is to unearth new questions that should be asked (and answered together openly in the supply chain community) to improve value.

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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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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