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IBP Scenario Modeling for Recovery, Restructuring and Resilience

AIMMS

Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app. Let’s explore them briefly in this blog post. Use case 1: Initial emergency response.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

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Triple Bottom Line Logistics with Tom Raftery

The Logistics of Logistics

Raftery shares his journey and insights on how companies can achieve a triple bottom line by utilizing forecasting, technology, and optimizing routes and loads. He explains how reducing emissions and making operations more sustainable can lead to cost savings and improved profitability.

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LLMs, Optimization and Automation: Supply Chain’s Defenses Against Market Swings

Blue Grace Logistics

Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation. These AI-driven models can understand and generate human-like text based on the input provided. The answer lies in data.

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Modeling brewing capacity to drive cost savings at HEINEKEN

AIMMS

Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. The main reason was that we were trying to manage our investments as optimally as possible.

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Digital Representation and our Obsession with Optimization

AIMMS

I’ve watched many times as customers experience the power of modeling and prescriptive analytics for the first time. We’re smitten with optimization and so didn’t appreciate the power of the journey itself. In our 30 year obsession with optimization we invented software to make optimization more accessible to supply chain teams.

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Tata Steel Makes Strides Towards an Autonomous Supply Chain Powered by Optimization Technology

AIMMS

Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . When did you join Tata Steel? .