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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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Resilience by Design: The Power of Simulation in Supply Chain Strategy

Logistics Viewpoints

Supply chain network design (SCND) is a powerful tool for improving business operations. Optimization and simulation are the two main branches of SCND. Optimization accounts for over 90% of all work that is being done by SCND teams. It can be used to solve a wide variety of supply chain problems. But it has gaps.

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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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Supply Chain Network Design: Optimization Advantages

Logility

The Optimization Advantages of a Redesigned Supply Chain Network Cost optimization is one of the most popular supply chain initiatives. When operating in an endless array of high-impact disruptions, global economic fluctuations, and sustainability concerns, focusing on costs alone will not save your supply chain.

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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 113
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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

I find that most companies’ understanding of supply chain planning is immature, and that next week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. Buying supply chain planning software is hard. The reason?

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

The question was, “How can I redefine demand planning processes to use channel data?” Their question was, “Why were consumer products companies not using retail data to drive demand processes?” A forecast is a time-phased view, or projection, of future demand. In an implementation, the details matter.