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21 white-papers
Agriculture

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AGRICULTURA SUL-AMERICANA

Os perigos da agricultura ocorrem em todo o mundo. É uma profissão desafiadora.

O Brasil, por exemplo, começou a manter estatísticas mais detalhadas sobre acidentes industriais a partir de 1969. Foi divulgado que quase 18% de todos os trabalhadores industriais (incluindo a agricultura) sofreram acidentes. Medidas preventivas ajudaram a reduzir para 3.84% em 1984.

A pesquisa, nos EUA, mostra que 70% dos silo ou armadilhas de lixo acontecem em quintas familiares mais pequenas. Embora as estatísticas sul-americanas não estejam disponíveis para este tipo de lesão, é seguro fazer a comparação. 

O Brasil, o terceiro maior produtor mundial de cereais, continua a recuperar a capacidade de armazenamento, mas a partir de 2018 teve um défice de armazenamento de 70 milhões de toneladas e tem estado no caminho mais rápido para construir armazenamento de silo e caixotes.
 

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South America Tackles Safety with Tech

    The dangers of agriculture occur throughout the world. It is a challenging profession.
    Brazil, for example, began keeping more detailed statistics on agro-industrial accidents starting in 1969. It was disclosed that nearly 18% of all industrial workers (that includes agriculture) suffered accidents. Preventive measures helped reduce that to 3.84% in 1984. 
    Research, in the U.S., shows that 70% of silo or bin entrapments happen on smaller family farms. While South American statistics are not available for this type of injury, it’s safe to make the comparison. 
    Brazil, the world’s third largest grain producer continues to catch up on storage capacity but as of 2018, had a storage deficit of 70 million tons and has been on the fast track to build silo and bin storage.
    “The governments of South and Central America are really looking for ways to make grain storage safer and more efficient,” said Luis Anton, Manager for BinMaster in Central and Latin America. “We’ve spent a lot of time demonstrating BinMaster sensors which can really bring agricultural operations to a much higher level technologically.”

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System Considerations When Monitoring Bin Levels in the Grain Industry

The grain industry faces many challenges in managing inventory in large bins where a single vessel may hold a million bushels, making "binventory" crucial to the profitability of an operation. This white paper discusses how continuous level sensors can be sued for accurate inventory management for local or company-wide monitoring.The are various options available for data reporting, including cloud-based applications, software, consoles, and automated text and email alerts. Learn about matching the right type of sensor for your operation for bins large and small, plus how point level indicators can be applied for affordable high and low level alert conditions. 

Chemical Processing
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A SENSIBLE GUIDE TO SILO INVENTORY MONITORING

Learn how different level sensors work and the components you will need for a complete inventory management system for your silos. Find out how to enhance your system with wireless options, local data access, and flow detection. This guide helps you manage materials at the plant or while monitoring inventory remotely.

General
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MRO Strategic Spending

    MRO budgets will grow from $701 billion in 2021 to $897 billion by 2028, according to a study by Markets N Research. 
     MRO, or Maintenance, Repair and Operations, usually covers supply chain management, industrial machine upkeep, technology advancement, artificial intelligence, Internet of Things, and preventative maintenance solutions.
    BinMaster sensors and software bring technology improvements with a quick return on investment. Besides replacement parts, companies budget for future needs like an inventory management system for tank, silo, and bin installations. 
    “It’s a good idea to check in with us at the end of the year,” said Nathan Grube, BinMaster Vice President Sales, Central Region. “We’ll look at ways to get ahead of supply chain delays and get strategic with your bulk material management.”

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Cloud Inventory 4.0 BinView - nl

Supply chain, product demand, and worker shortage all prompt the implementation of Industry 4.0 philosophies which automate time intensive, manual work to ensure that people have information to maximize their decision-making capabilities. Moving inventory management from paper, tape measures and spreadsheets to sensors and custom inventory software provides a great example of Industry 4.0 automation.

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Inventory 4.0 Cloud BinView

Supply chain, product demand, and worker shortage all prompt the implementation of Industry 4.0 philosophies which automate time intensive, manual work to ensure that people have information to maximize their decision-making capabilities. Moving inventory management from paper, tape measures and spreadsheets to sensors and custom inventory software provides a great example of Industry 4.0 automation.

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Cloud Inventory Key to Industry 4.0

Supply chain, product demand, and worker shortage all prompt the implementation of Industry 4.0 philosophies which automate time intensive, manual work to ensure that people have information to maximize their decision-making capabilities. Moving inventory management from paper, tape measures and spreadsheets to sensors and custom inventory software provides a great example of Industry 4.0 automation.

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Understanding Accuracy: Bin and Tank Level Sensors

Food, consumer products, packaging…nearly everything…involves the use of bulk solids at some point during their manufacture

In the retail world, inventory record accuracy costs an average of 1.75% loss of revenue. Their suppliers also suffer up to 0.73% loss of revenue. In a world of Industry 4.0 and block chain practices, a discrepancy with inventory measurements undermines inventory control, make ordering decisions ineffective and results in poor delivery and higher inventory costs.

Plastics
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Resin Inventory Questions Answered

This whitepaper explores the who, what, why, when - and most importantly - how of using level sensors and software to optimize plastic inventory, improve safety, eliminate outages, and increase inventory turns. 

Products
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How to Select a Continuous Level Sensor

Using a continuous level sensor to monitor the material level in your storage vessels can help your operation maintain efficiency—preventing costly process interruptions and keeping you up-to-date on your inventory level. This whitepaper is intended to help operations choose a continuous level sensor without having to wade through volumes of technical data. It will briefly describe the sensor types available, address the pros and cons of each type, and explain what information you need to gather before working with a sensor supplier.

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Get the Point

Point level indicators are an affordable, accurate tool to measure and alert to inventory high and low levels. Easy to set up and configurable to fit a wide range of application needs, point level indicators are a must-have for a safe, efficient operation. This whitepaper details what users can expect from a point level device and explores point level options in the marketplace and considerations when choosing a sensor. 

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Inventory Management Using Multiple Point Measurement

Many devices are available on the market today for detecting the level of materials in bins, tanks and silos. However, for calculating inventory, sometimes level data just isn’t enough. To estimate the amount of material on hand and the dollar value of that inventory, a single measurement point may not be sufficient data to accurately estimate volume. This can be especially true in powders and solids because many tend to not flow freely, forming irregular topography in the silo. Discover whether level or volume measurements are what your operation needs, and learn about the sensors that can help you meet your operational goals.

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Continuous Level Sensor Product Comparison Chart

This comparison chart is a great aid to help in the selection on continuous level sensors. It outlines the pros and cons of different types of technology. Compare SmartBob, guided wave radar, open air radar, 3D scanners, and laser to determine which sensor might be best for your application.