Remove articles tags Planning
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Predictive Quality: A future with less rejects and rework

The Logistics & Supply Chain Management Society

After all, efficiency, planning stability and customer satisfaction are decisive competitive advantages for manufacturing companies. This method describes data-driven, automated defect detection and quality analysis, which can be used in a variety of processes. However, this problem must not be ignored.

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How Manufacturers Can Take Control of Inventory with RFID Technology

QAD

As I discussed in a recent article in RFID Journal , RFID technology has changed a lot since 2005 and could be the secret to ensuring greater visibility and inventory accuracy this year. RFID is a type of automatic identification and data collection (AIDC) technology. RFID tags can reduce out of stocks by up to 80.3%

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How Not to use Machine Learning for Demand Forecasting

ToolsGroup

Eight years ago ToolsGroup was one of the first supply chain planning software vendors to employ machine learning to improve demand forecasting. As the tag line to a popular commercial goes, by now “we know a thing or two because we've seen a thing or two.”. But machine learning algorithms don’t work like this at all.”.

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Supply Chain Forecasting with AI

ThroughPut

This article is a thorough introduction to AI’s role in solving supply chain forecasting problems and sets the stage for a deeper exploration of its capabilities and benefits. Demand planning, inventory management, production scheduling, and distribution planning are the components of supply chain forecasting.

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The internet of (supply chain) things

Kinaxis

The source of all knowledge, Wikipedia, describes the Internet of things as : “…the network of physical objects—devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data”. These are all examples of the internet of things.

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Circular Economy and Information Sharing – The Role of Logistics

The Logistics & Supply Chain Management Society

Circular Economy and Information Sharing – The Role of Logistics Feature Article by Beverly Lege , Research Associate and PhD Candidate at Hamburg University of Technology, Institute of Business Logistics and General Management, Thomas Twenhöven , PhD Candidate at Kuehne Logistics University and Prof.

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3 Reasons Manufacturers Should Embrace Mobile Data Collection

RFgen

Mobile data capture enable field technicians to carry out their duties regardless of where they are. In addition, a recent article for Manufacturers’ Monthly explained that there will likely be 33 billion connected devices throughout the world by 2020. That’s more than double the number that can be seen today.