Remove DC Remove Forecasting Remove Warehousing
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Cracking the Code for AI in the DC

Logistics Viewpoints

There’s a new reason to optimize DC operations, and it’s bigger than the old reasons of productivity and efficiency gains. More and more companies are realizing that investing in their DCs and powering them with modern and sophisticated technologies like AI can lead to competitive advantages for the overall company.

DC 334
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What Does a Tier 1 Warehouse Management System Include?

Logistics Viewpoints

A Tier 1 WMS Should be Capable of Complex Optimization ARC Advisory Group does global market research on the warehouse management system market. Warehouse workers work alongside autonomous mobile robots to fulfill orders. The warehouse mobile robot system downloads orders from the WMS for the work that will be done in its zone.

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What are Digital Twins and How Can They Drive Warehouse Efficiency?

Logistics Viewpoints

The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Physical change (i.e.,

Modeling 307
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Invest in These Capabilities to Drive Supply Chain Excellence

AIMMS

Use cases include analyzing the impact of Supplier and DC closures and shutdowns, planning for steep demand decreases and increases, evaluating potential reshoring, and assessing potential network investments with scenarios. The machine learning algorithm then continually fine tunes the forecast model through each forecasting cycle.

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Things Have Changed: What Do We Do NOW?

Supply Chain Shaman

This week I interviewed Robert Byrne, Founder of Terra Technology , on the results of their fourth benchmarking study on forecasting excellence. The work done by Terra Technology, in my opinion, is one of two accurate sources of benchmark data on forecasting in the industry. The other is Chainalytics demand benchmarking.

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Scenario Modeling Is Now Crucial for Supply Chain Network Design

AIMMS

Scenarios to assess DC closures and the impact of shutdowns . What we’re seeing is not just a trend towards changing materials/part suppliers, but also warehousing and logistics suppliers. . What if a warehouse is forced to close , which supplier is most optimal and which customers should be serviced from whe re?

Modeling 361
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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

Machine Learning, a Form of Artifical Intelligence, Has Feedback Loops that Improve Forecasting. A supply chain planning model learns when the planning application takes an output, like a forecast, observes the accuracy of the output, and then updates its own model so that better outputs will occur in the future.