Remove Examples Remove Manufacturing Remove Supply Chain Risk Management
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Autoliv’s Supply Chain Risk Management Journey

Logistics Viewpoints

In February, Klaus Niebur, the director of global supply chain risk management at Autoliv, and Jan Thiessen, the managing director at targetP!, spoke on best practices on supply chain risk management at ARC Advisory Group’s Digital Transformation in Industry conference.

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The Supply Chain Risk Management Maturity Model Stages

Resilinc

Learn the supply chain risk management maturity model stages from Supplier Risk Management to antifragility. The way that businesses talk about (and manage) supply chains is changing rapidly. Supplier Risk Management What is Supplier Risk Management (SRM)?

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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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Q&A with CEO Brandon Daniels: AI’s Impact on Supply Chain Risk Management

Exiger Perspectives

How is AI changing supply chain risk management , and what does it mean for the future? These questions were part of a recent discussion featuring Exiger CEO Brandon Daniels about AI impacts on supply chains. Arjun Mehta: How is AI impacting supply chain risk management?

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Supply Chain Risk Management & Supply Chain Resilience: Is There a Difference?

Resilinc

Do you ever get confused when people use the terms supply chain risk management (SCRM) and supply chain resilience? It’s common to hear industry practitioners, stakeholders, solution providers, and analysts use these terms interchangeably; for example, an SCRM program and a supply chain resilience program.

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How is AI Revolutionizing Supply Chain Risk Management? 

Resilinc

Yet, numerous global supply chains today still struggle with mapping their global suppliers. For example, in the life sciences industry, biopharma companies increasingly rely on contract manufacturing and development organizations (CDMOs) to address biologics manufacturing production and capacity demand.

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AI + Data = Supply Chain Risk Management!

Supply Chain Game Changer

For example, robots performing key process steps in manufacturing plants” ( arkieva.com 2017 ). AI + Data = Supply Chain Risk Management. I promise you’re not seeing a mirage, AI + Data can offer a real solution for Supply Chain Risk Management, fast. AI #bigdata.