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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. .

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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 first webinar with Oliver Wight discussed common people, process and technology pitfalls that hinder IBP initiatives. Let’s explore them briefly in this blog post.

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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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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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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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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.

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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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