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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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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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Supply Chain Risk Management: 7 Challenges Driving Increased Interest in Managed Service

Logistics Viewpoints

The survey also found that 9 in 10 supply chain leaders are seeking 3PLs with a consulting offering that provides guidance in setting up their company’s supply chain. These are the top challenges that are driving increased interest in and demand for consulting and managed services. And they must plan accordingly.

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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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Your supply chain is costing you money – Reason #5 Not having a supply chain risk management process

Kinaxis

by John Westerveld Reason #5: Not having a supply chain risk management process. Over the years, working for and with numerous manufacturing companies, I’ve seen many supply chain practices that cost companies money. Supply chain risk management is like insurance.

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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. not so scary after all, huh? #AI