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Today our focus has been on KPIs, ERP, WMS, TMS, YMS, EDI, The Cloud, S and OP, 3 D Printing, IoT, IoE, Drones: Same Hour/Day/Time Delivery to Customers, Cyber Security, Theft, Government Regulations, E-Commerce, Omni-Channel, Modeling/Simulation, Risk Management, Tracking, Traceability, Re-shoring, Robotics, et al, but…what about Artificial Intelligence or AI technologies? AI is a controversy

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Near and far, logistics providers and shippers are renewing their focus on sustainability to build the manufacturing giants of tomorrow. As explained by Bob Trebilcock, sustainability in logistics initiatives are ranked as “very important” for up to 40.6 percent of supply chain organization. Furthermore, most supply chain entities, approximately 64.

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For manufacturers and shippers, freight spend represents one of the largest costs to the respective company. To combat freight spend, supply chain entities have devoted huge investments and deployed developmental teams to find ways to improve efficiency, manage all parts of the manufacturing and shipping process, and eliminate all sources of delays.

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When discussing warehouse statistics many key performance indicators are mentioned. Stock movement, order duration times, utilization of equipment and personnel, error rates and many more.So what are the most important figures needed to run a warehouse?Depending on the warehouse design and complexity there are at least a hand full of statistics that any manager needs.

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manufacturing floor e-guide to computer integration

Editor’s Note: We culminate our ongoing series over the last few weeks with Armagard, Manufacturers of indoor and outdoor protective enclosures for computers, printers and LCD/LED digitalsignage displays, regarding tips on the manufacturing floor. As we have discussed on our blog over the years, manufacturers around the globe are turning to technology to create efficiency.

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predictive analytics in manufacturing benefits

Supply chain models are evolving. The predictive analytics of the past are becoming more apt and intellectual, powering a new age in manufacturing. Furthermore, the Industrial Internet of Things (IIoT) will climb to more than 25 billion devices by 2025. The increase in the use of IIOT represents a 500 percent increase from the number of devices in 2015.

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Computerized Data Collection Systems

There’s an art to integrating computerized data collection systems on the manufacturing floor. Unless you plan correctly, you won’t actually improve productivity on your manufacturing floor. Here are 5 questions often overlooked when integrating computerized data collection systems, ignore them at your peril.5 questions to ask when integrating computerized data collection systems1.