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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Materials shortages , demand fluctuations and plan t closures have led many organizations to revisit their supplier relationships, as well as distribution and production locations. Read on for common use cases. .

Modeling 361
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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.

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Holiday Supply Chain Optimization for Us Mere Mortals

ToolsGroup

As Christmas draws near, it’s impossible not to think of Santa — and as the CEO of an AI company that optimizes supply chain , it’s impossible to ignore his looming logistical challenge. Santa has magic serving as his logistics manager. Predicting consumer demand has been similarly frustrating for companies.

Modeling 156
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What is Supply Chain Decision Support? Are We Rearranging Deck Chairs on the Titanic?

Supply Chain Shaman

Supply management. Supply chain management. Supply chain planning. The lack of interoperability between decision support platforms is a problem for companies attempting to improve decisions from the channel to supplier bi-directionally through technology. Are these terms the same? The answer is no.

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Materials shortages , demand fluctuations and plan t closures have led many organizations to revisit their supplier relationships, as well as distribution and production locations. Read on for common use cases. .

Modeling 177
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7 Ways AI Can Impact Your Supply Chain and Logistics Operations

Stord

Love it or fear it, Artificial Intelligence appears to be the new normal in everything, including supply chain and logistics operations. From improved customer experience to greater inventory planning and forecasting, AI promises to make all of our lives easier and reduce those all-too-common supply chain headaches.