Dynamic Scenario Modeling Optimizes Automated Supply Chain Planning
Supply chain organizations, however, must understand that AI also brings potential problems, such as loss of human expertise, algorithm bias, lack of quality data, system failures, and high initial capital investments.
Advanced Analytics in Manufacturing Logistics: Turning Data into Actionable Insights
Predictive analytics will leverage the power of AI and machine learning to forecast supply chain and market changes. Businesses that use predictive analytics will be able to mitigate risks more effectively
Automation isn't a one-size-fits-all: 5 key considerations for your warehouse
From AI-vision systems revolutionizing inventory management to advanced depalletization solutions streamlining logistics, we'll explore five critical considerations that can make or break your journey toward integrating robotics into warehouse operations.
The Digital Supply Chain: How AI and Supply Chain Management Software Reshape Manufacturing Industry Supply Chains
The integration of AI in supply chain processes and the adoption of comprehensive supply chain management software are not only ongoing trends, but important strategies for companies seeking to be more efficient, stay competitive, and innovative.
Sneaker and Sportswear Retailer's New Mezzanine and Ground Floor Feature ResinDek Robotic Flooring
As directed by the facility's warehouse management software (WMS), a fleet of 142 AMRs continuously delivers mobile shelves to associates at workstations equipped with light directed picking modules on both floors.
Transforming Logistics and Warehousing
The logistics industry, like many others, is focusing more and more on meeting sustainability goals. This is why we can expect companies to prioritize eco-friendly solutions to address their carbon footprint.
What role does automation play in the manufacturing supply chain?
Adrian Wood, Strategic Business Development Director at DELMIA, gives us some very informative and interesting insights into automation's integral role in the manufacturing supply chain.
Optimizing the Manufacturing Supply Chain With 7 Tech-Forward Solutions
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Every manufacturing operation needs an efficient and resilient supply chain. Stock shortages, shipping delays and similar disruptions can prolong production, raise costs and impact customer satisfaction, so manufacturers must prevent them as much as possible.
The Basics of Warehouse Automation
The implementation of warehouse automation requires an experienced electrical, mechanical, and industrial engineering team and advanced software capabilities on hand.
A Guide to Real-Time Location Systems (RTLS) in Manufacturing
A key part of the Industry 4.0 movement, RTLS offers manufacturers a chance to pursue optimum efficiency across their industrial sites and yards. But how does it work? And is it extremely complicated to set up and run?
Common Reverse Logistics Challenges
Reverse logistics is the process of returning goods to their places of origin, such as from the purchaser back to the supplier or manufacturer, and then forwarding it for servicing, refurbishing, or recycling.
Smart Logistics Whitepaper
This article discusses the elements of smart logistics and investigates how components designed for the rigors of smart logistics at every phase of the logistical supply chain can alleviate problems during manufacturing.
Fulfillment Optimization is Not an Impossible Task
Part of optimizing any logistics operation is to make sure that you are not incurring additional and lasting costs on the path to speeding up your rate of fulfillment. The goal is to move more product through your system and out the door - but you also must watch expenses.
The Current State of Supply Chain Data Quality
The implementation of strategic data quality capabilities can make or break a business. Many businesses suffer the consequences of risks and excess costs without ever understanding the root cause to be poor data quality or integration.
Automatic Photo Portal for the Documentation of Intralogistics Processes
Due to digitalization in Industry 4.0, internal logistics is subject to constant change. Internal traceability, i.e. the tracking of goods in the warehouse or production facility, is increasingly playing a key role.
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