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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. The post IBP Scenario Modeling for Recovery, Restructuring and Resilience appeared first on AIMMS SC Blog.

Modeling 406
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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.

Modeling 361
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What Industry Leaders Have to Say About Virtual Twins in Manufacturing

DELMIA Quintiq

The past year and a half saw manufacturers face unprecedented challenges resulting from global disruptions, to which they responded by repurposing or developing new product lines, reconfiguring their plants and restructuring their supply chains in order to meet changing demands and keep afloat amidst uncertainty.

Modeling 404
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Multi-echelon Inventory Optimization vs Inventory Optimization

ToolsGroup

Imagine what would happen if each station optimized its schedule and traffic independently: city-wide chaos would ensue. Now consider that by not optimizing your inventory from a global vantage point you may be creating, if not outright chaos, a much less efficient network than you could have. This is no easy task.

Modeling 270
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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. Scenario analysis and optimization defined. Modeling your base case. Optimizing your supply chain based on costs and service levels. Optimizing your supply chain based on costs and service levels. Modeling carbon costs.

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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

In this blog, we explore the different types of predictive AI models for supply chain risk management. Currently, Resilinc uses several predictive AI models in tracking purchase orders (POs) and commodities, autonomous mapping, risk-scoring models, and simulators. How does Resilinc use regression models?

Modeling 114
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The Value of a Manufacturing Control Tower in Industrial Equipment Manufacturing

DELMIA Quintiq

The widespread supply chain disruptions that happened when the global pandemic hit in 2020 highlighted several important lessons regarding manufacturing and supply chain visibility. Powered by the 3DEXPERIENCE platform, DELMIA takes a model-based, data-driven approach by connecting the virtual and real worlds of manufacturing and operations.

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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.