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Outside-in Process Q&A

Supply Chain Shaman

In today’s training class, we focused on determining the balanced scorecard. They implemented a simple planning technology with an outside-in channel-centric model (Ship to model definition). Model Comparisons Ship from model: A ship-to model: Another example of bi-directional orchestration is meat packing.

Modeling 206
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Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains

The Logistics & Supply Chain Management Society

Generative AI can use models with billions or even trillions of parameters trained on massive datasets (think the size of the internet), enabling it to produce increasingly complex outputs such as speech, text, and videos. It can then generate new content using prompts that resemble the original training data.

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Improved Supply Chain Visibility Requires an End-to-End Solutions

Logistics Viewpoints

The world’s fleet consists of approximately 6,000 ships. These ships carried nearly 150 million twenty-foot equivalent units (TEUs) of containers last year. Last October, over 100 ships, including 70 container ships, were waiting at anchor or in drift zones to unload at the twin ports of Los Angeles and Long Beach.

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How Machine Learning is Transforming Logistics

Logistics Viewpoints

Namely, how does machine learning help with predicting shipping transit times? Prediction of shipping transit times sounds simple but is actually extremely complex. And we thought this to be a great opportunity to get further details on this hot topic from a practitioner on the front line of logistics application development.

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Green Corridor: Counting Carbons

The Logistics & Supply Chain Management Society

Identifying sources of Carbon emissions. These are classified into sources of emissions as Scope 1, Scope 2 and Scope 3. These are considered “indirect” greenhouse gas sources. Scope 3 emissions are the amount of carbon emitted by vendors and suppliers in your value chain, another indirect source.

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The Wisdom of the Crowd (Sourcing) Doesn’t Apply to Commercial Shipping

Supply Chain Collaborator

More than a year ago, the Supply Chain Collaborator blog examined the trend toward crowd sourcing and wondered aloud whether an “Uber for commercial shipping” was imminent. Yet, as an op-ed in the Wall Street Journal concludes, we are still nowhere near developing a killer app for crowd sourced commercial shipping.

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Regaining control: Inventory management best practices (Part four)

Kinaxis

Training, reducing latency and identifying errors. Train your warehouse staff – I am frequently amazed (or, dismayed ) at the level of training supplied to workers in warehouses, or in shipping and receiving departments.