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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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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Supply chain disruptions have become a persistent operational risk. Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. Amazon is a leader in AI-driven supply chain management. Executives are left making high-stakes decisions with incomplete information.

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Beyond Cost Optimization: Building Resilient Supply Chains in an Unstable Trade Environment

Logistics Viewpoints

For years, supply chains were engineered to be lean. Lean models alone are no longer sufficient. Recent years have brought a series of disruptions that exposed vulnerabilities in how supply chains are designed. Recent years have brought a series of disruptions that exposed vulnerabilities in how supply chains are designed.

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Decentralizing Supply Chains: How Regional Models Drive Resilience and Flexibility

Logistics Viewpoints

Global supply chains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions.

Modeling 179
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Brace for Impact. Unpredictable Tariff Disruptions Are Here––Your Playbook

Tariffs will have a major impact on your supply chain, margins, and operations.

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No Balloons Needed: Practical Moves to Navigate Tariff Volatility

Logistics Viewpoints

The manufacturing sector is facing unprecedented volatility in global trade, with tariffs becoming the latest in a series of uncertainty drivers that are impacting virtually all industries. Supply chains need to be more agile than ever, yet much of the advice circulating in the industry remains high-level or less than ideal.

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The Emergence of Supply Chain Data Fabrics

Logistics Viewpoints

When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. A supply chain data fabric can help companies augment their supply chain processes. They aim to achieve the same success in supply chain management that they have achieved in the healthcare sector. Who is InterSystems?

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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. Modeling carbon costs.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Lack of collaboration between supply chain stakeholders.

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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.

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8 Supply Chain Technology Trends for 2022 and Beyond

Manufacturing leaders who built resilient supply chains were successful in 2021, despite the many supply and demand fluctuations. Supply chain visibility, collaboration, and orchestration are now the top priority for executives. Multi-Tier Supply Chains. Blockchain Expands Supply Chain Capabilities.