Remove Examples Remove Procurement Solutions Remove Supply Chain Risk Management
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BD Achieves End-to-End Supply Chain Visibility

Logistics Viewpoints

Ever since COVID hit, supply chain executives have embraced supply chain risk management. Within this discipline, one of the toughest challenges is how to get visibility to problems arising across the extended supply network. Supply Chain Chaos is the New Norm. Chasing N-Tier Visibility.

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

Logistics Viewpoints

An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing. Make Strategic Commitments During Supply Chain Disruptions During crises such as semiconductor shortages or other supply chain disruptions, make firm, long-term commitments to suppliers.

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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?

Modeling 107
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ERP vs. Best-in-Class — What is Best for Managing the Healthcare Supply Chain

ivalua

Are ERP systems better than best-in-class supply chain solutions for managing healthcare supply chains? What are the pros and cons, and what supply chain strategy will pave the way to higher margins, improved supply chain risk management in healthcare and improved patient care?

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Achieving Maturity in Risk Management Takes Years

Logistics Viewpoints

Supply Chain Risk Management Solution from riskmethods. If I was asked to vote for the most interesting solution set that has come to the fore over the last few years, my vote would be for supply chain risk management solutions. Supply Chain Risk Management Vendors.

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Your supply chain is costing you money – Reason #9: Relentless pursuit of one metric at the expense of other metrics.

Kinaxis

Reason #3 Not having end-to-end supply chain visibility. Reason #4 Making key decisions by modelling the supply chain in Excel. Reason #5 Not having a supply chain risk management process. Reason #6 Not effectively managing inventory. Reason #8 Keeping supply chain information in silos.

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Google Will Acquire a 3PL – And Other Supply Chain and Logistics Predictions for 2015

Talking Logistics

I use this example to illustrate the challenges (or, perhaps, the futility) of making supply chain and logistics predictions. The EIA now expects that “global liquid fuels supply will continue to outpace consumption, resulting in an average stock build of 0.4 as of this morning — a lower price than 5 years ago!