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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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IBP Scenario Modeling for Recovery, Restructuring and Resilience

AIMMS

Those that also leverage scenarios in IBP are even better prepared to deal with the supply chain shocks caused by COVID-19. Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Let’s explore them briefly in this blog post.

Modeling 406
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Supply Chain Resilience. Really?

Supply Chain Shaman

Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Background The Council of Supply Chain Resilience met for the first time this month. What is supply chain resilience?

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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. I believe demand is a flow based on the combination of products/services/customers and channels, as shown in Table 1. This exceeds the 55% previously reported in the Supply Chain Insights surveys. Are these terms the same?

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Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Scenario analysis and optimization defined. Modeling your base case.

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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 this blog, we explore the models used in Resilinc’s predictive AI and explain how they help streamline supply chain risk management.

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Supply Chain Normalcy? Think Again.

Supply Chain Shaman

The global supply chain is built on three assumptions: rational government policy, availability of reasonably priced logistics, and low variability. In March 2023, the Global Supply Chain Pressure Index fell to the lowest level since November 2008. Over the past three years, supply chain cycles shifted.