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

Logistics Viewpoints

With peak shipping season approaching, companies continue to face supply chain risk as the pressure increases to meet customer and delivery expectations without adding cost. These are the top challenges that are driving increased interest in and demand for consulting and managed services.

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Supply Chain Risk Management: Could You Face a Category 4 Supply Chain Disaster?

Kinaxis

states, obvious disruptions to supply chains and supply chain risk management were a given. Many of the states affected contained key ports and supply destinations, as well as transportation and logistics hubs. Don’t let your supply chain get blown away by any category of winds.

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Direct Spend Management: A Checklist for Enabling Shared Value with Direct Suppliers

Logistics Viewpoints

Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. For instance, suppliers may have strong Vendor Management process expertise that will help reduce working capital.

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Supply Chain Risk Management: Risks of Relocating a Business ‘China to Vietnam’

The Logistics & Supply Chain Management Society

Customer service, parts shortages, unprecedented inventory growth, and warrant management can actually take up internal sources and affect profit margins. As a result of the intensifying battle, more and more companies announced plans or are considering shifting manufacturing from China. Source: Vietnam Briefing.

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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. In our second AI blog of the series, Predictive AI vs. Generative Supply Chain AI , we looked at the difference between predictive AI and generative AI. How does Resilinc use regression models?

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5 New Year’s Resolutions for Supply Chain & Logistics Executives

Talking Logistics

If you’re a supply chain or logistics executive and you’re looking for ways to improve as a leader this year, here are my five recommendations: 1. Ask “What are the risks?”more Supply chain management is risky business — and the risks are growing every day. more often.