Feeding this kind of data into a traditional, non-AI supply chain design tool without doing expensive data cleaning beforehand will not result in a useful model. The baseline will be flawed, so ...

With multiple tiers of redundancy in a network, business operations are never restricted or stopped. Because productivity restrictions or work stoppages get compounded the farther you go down the ...

Warehousing will be transformed in the open-network supply chain model created by a team led by American Eagle’s Shekar Natarajan. BY FastCo Works Supply chains—the increasingly vast and ...

Achieving such agility necessitates a supply chain network optimized through advanced data analytics, machine learning, and real- time decision-making frameworks. The Intricacies of Quick Commerce ...

We consider a simple supply chain in which a single supplier sells to several downstream retailers. The supplier has limited capacity, and retailers are privately informed of their optimal stocking ...

This paper develops a new multi-country and multi-sector general equilibrium trade model to analyze extent to which the diversification of sources of imports mitigates the impact of adverse trade ...

1. Default risk. Bloomberg’s proprietary default risk model uses inputs such as a company’s debt to calculate default probability. By combining supply chain and default risk data, we can ...

The Supply Chain Maturity Model and Self-Assessment is based on 40 years of successful customer engagements, during which Kinaxis has partnered with some of the world’s largest brands to create ...