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Stabilize tin
ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
MAKING SMARTER DECISIONS BY USING AI FOR PROCESS At Seebo, we are leveraging industrial AI technologies to ensure the gathered data is being put to use, primarily, for smarter decision making to optimize production. By employing digital twin analytics, automated root cause analysis, and predictive analytics – process manufacturers have visibility into production processes and theirlosses.
THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
HOW TO CHOOSE AN IOT DEVELOPMENT PLATFORM THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. GLASS MANUFACTURERS PREVENT QUALITY, ENERGY & THROUGHPUT Fiber & wool glass manufacturing. Fiber & wool glass manufacturing. Reduce the Energy per ton Optimize flatness Prevent bubbles and other glass melting defects Yield & quality. Optimize process based on raw materials variability Optimize process based on ambient conditionsStabilize tin
ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
MAKING SMARTER DECISIONS BY USING AI FOR PROCESS At Seebo, we are leveraging industrial AI technologies to ensure the gathered data is being put to use, primarily, for smarter decision making to optimize production. By employing digital twin analytics, automated root cause analysis, and predictive analytics – process manufacturers have visibility into production processes and theirlosses.
THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
HOW TO CHOOSE AN IOT DEVELOPMENT PLATFORM SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 toPREDICTIVE QUALITY
Seebo is designed to predict and prevent process-based production losses in manufacturing, using Process-Based Artificial Intelligence™. Seebo’s cloud-based SaaS platform is easy to use, enabling production teams to prevent losses and achieve true processmastership with
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. ULTRASONIC SENSORS: APPLICATIONS FOR THE INTERNET OF THINGS Ultrasonic sensors have become indispensable for IoT product development and are widely used for building smart products. Internet of Things smart products applications of ultrasonic sensors have proved themselves in a variety of functions from monitoring the levelof water in a
PREDICTIVE QUALITY AND ITS IMPACT ON FOOD PRODUCTION The Case for Predictive Quality. Food quality has always been a critical factor in the food production process, requiring food manufacturers to abide by stringent quality regulations, inspections and statistical quality control methods. The impact of poor foodquality is
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
GLASS MANUFACTURERS PREVENT QUALITY, ENERGY & THROUGHPUT Fiber & wool glass manufacturing. Fiber & wool glass manufacturing. Reduce the Energy per ton Optimize flatness Prevent bubbles and other glass melting defects Yield & quality. Optimize process based on raw materials variability Optimize process based on ambient conditionsStabilize tin
CAREERS AT SEEBO
Seebo is building a team of A players and working shoulder-to-shoulder to build an incredible solution in one of the fastest growing business sectors: the Internet of Things and Industry 4.0. We are looking for smarts, creativity and a lot of drive. Join us! FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to BAKED GOODS MANUFACTURERS PREVENT QUALITY & WASTE LOSSES Baked goods manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size variability Reduce color variabilityReduce
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into MACHINE LEARNING AND AI IN MANUFACTURING The two major use cases of Machine Learning in manufacturing are Predictive Quality & Yield, and Predictive Maintenance. Predictive Maintenance is the more commonly known of the two, given the significant costs maintenance issues and associated problems can incur, which is why it is now a fairly common goal amongstmanufacturers.
PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal DOWNLOAD THE FULL CASE STUDY Learn how a multinational manufacturer of Ethylene Dichloride saved nearly €1M/year on a single production line, by preventing process inefficiencies. Using Seebo's proprietary Process-Based Artificial Intelligence, they: Reducedquality losses by 65%. Learned 142 completely new insights about their production process. Increasedproduction
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
GLASS MANUFACTURERS PREVENT QUALITY, ENERGY & THROUGHPUT Fiber & wool glass manufacturing. Fiber & wool glass manufacturing. Reduce the Energy per ton Optimize flatness Prevent bubbles and other glass melting defects Yield & quality. Optimize process based on raw materials variability Optimize process based on ambient conditionsStabilize tin
CAREERS AT SEEBO
Seebo is building a team of A players and working shoulder-to-shoulder to build an incredible solution in one of the fastest growing business sectors: the Internet of Things and Industry 4.0. We are looking for smarts, creativity and a lot of drive. Join us! FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to BAKED GOODS MANUFACTURERS PREVENT QUALITY & WASTE LOSSES Baked goods manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size variability Reduce color variabilityReduce
SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into MACHINE LEARNING AND AI IN MANUFACTURING The two major use cases of Machine Learning in manufacturing are Predictive Quality & Yield, and Predictive Maintenance. Predictive Maintenance is the more commonly known of the two, given the significant costs maintenance issues and associated problems can incur, which is why it is now a fairly common goal amongstmanufacturers.
PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal DOWNLOAD THE FULL CASE STUDY Learn how a multinational manufacturer of Ethylene Dichloride saved nearly €1M/year on a single production line, by preventing process inefficiencies. Using Seebo's proprietary Process-Based Artificial Intelligence, they: Reducedquality losses by 65%. Learned 142 completely new insights about their production process. Increasedproduction
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ONBLOG.SEEBO.COM
7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size BAKED GOODS MANUFACTURERS PREVENT QUALITY & WASTE LOSSES Baked goods manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size variability Reduce color variabilityReduce
PREDICTIVE QUALITY
Know how to prevent losses from occurring in the future: Reveals your optimal process settings, enabling process experts to avoid the inefficiencies driving your production losses. Cross-problem analysis to understand how process inefficiencies influence each other. Multi-tag analysis to understand interrelationships between tags. JOB OPPORTUNITY: BI DEVELOPER Seebo is looking for a hands-on and highly motivated Senior BI Developer to join our Data Solutions team. We are looking for a strong analytical person with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In addition, you will need to be a people person, who will be able to establish a strong connection with PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal DOWNLOAD THE FULL CASE STUDY Learn how a multinational manufacturer of Ethylene Dichloride saved nearly €1M/year on a single production line, by preventing process inefficiencies. Using Seebo's proprietary Process-Based Artificial Intelligence, they: Reducedquality losses by 65%. Learned 142 completely new insights about their production process. Increasedproduction
THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. MAKING SMARTER DECISIONS BY USING AI FOR PROCESS At Seebo, we are leveraging industrial AI technologies to ensure the gathered data is being put to use, primarily, for smarter decision making to optimize production. By employing digital twin analytics, automated root cause analysis, and predictive analytics – process manufacturers have visibility into production processes and theirlosses.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTIONDONNA SEEBO PSYCHICDONNA SEEBO SHOW The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ON BLOG.SEEBO.COMCALCULATE ASSEMBLY LINE EFFICIENCYPOWER LINE EFFICIENCYPRODUCTION LINE EFFICIENCYPOWER AND EFFICIENCY 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTIONDONNA SEEBO PSYCHICDONNA SEEBO SHOW The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ON BLOG.SEEBO.COMCALCULATE ASSEMBLY LINE EFFICIENCYPOWER LINE EFFICIENCYPRODUCTION LINE EFFICIENCYPOWER AND EFFICIENCY 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size BAKED GOODS MANUFACTURERS PREVENT QUALITY & WASTE LOSSES Baked goods manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size variability Reduce color variabilityReduce
PREDICTIVE QUALITY
Know how to prevent losses from occurring in the future: Reveals your optimal process settings, enabling process experts to avoid the inefficiencies driving your production losses. Cross-problem analysis to understand how process inefficiencies influence each other. Multi-tag analysis to understand interrelationships between tags. JOB OPPORTUNITY: BI DEVELOPER Seebo is looking for a hands-on and highly motivated Senior BI Developer to join our Data Solutions team. We are looking for a strong analytical person with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In addition, you will need to be a people person, who will be able to establish a strong connection with PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal DOWNLOAD THE FULL CASE STUDY Learn how a multinational manufacturer of Ethylene Dichloride saved nearly €1M/year on a single production line, by preventing process inefficiencies. Using Seebo's proprietary Process-Based Artificial Intelligence, they: Reducedquality losses by 65%. Learned 142 completely new insights about their production process. Increasedproduction
THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. MAKING SMARTER DECISIONS BY USING AI FOR PROCESS At Seebo, we are leveraging industrial AI technologies to ensure the gathered data is being put to use, primarily, for smarter decision making to optimize production. By employing digital twin analytics, automated root cause analysis, and predictive analytics – process manufacturers have visibility into production processes and theirlosses.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTIONDONNA SEEBO PSYCHICDONNA SEEBO SHOW The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ON BLOG.SEEBO.COMCALCULATE ASSEMBLY LINE EFFICIENCYPOWER LINE EFFICIENCYPRODUCTION LINE EFFICIENCYPOWER AND EFFICIENCY 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
THE PREDICTIVE QUALITY AND YIELD SOLUTION, POWERED BYWHY SEEBOTHE SOLUTIONCUSTOMERSRESOURCESBLOGABOUT US Seebo enables leading manufacturers to predict & prevent quality, yield, waste & throughput losses, using process-based industrial artificial intelligence. SEEBO - THE PREDICTIVE QUALITY AND YIELD SOLUTION FOR Leading manufacturers use Seebo to predict and prevent quality, yield and waste losses. Seebo Process-Based Artificial Intelligence™ is designed to solve complicated process inefficiencies – revealing the hidden causes and recommending the right actions. WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTIONDONNA SEEBO PSYCHICDONNA SEEBO SHOW The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size SEEBO | PRESS RELEASES FROM ACROSS THE WEB Seebo selected as one of the ’50 Most Promising IoT Solution Providers in 2019′. Industry 4.o, since its genesis, has been largely focused on providing decision makers with visibility into Information Technology (IT) and Operational Technology (OT) data. However, Industrial AI takes industry 4.0 to SEEBO PREDICTIVE QUALITY BLOG January 21, 2021. Industrial AI can help reduce production losses — but there’s something you need to know. Read More. November 11, 2020. Case Study: How a Global Chemical Manufacturer Reduced Quality Losses from Toxic Side-Products by 65%. Read More. October 26, 2020. 2 Trends Manufacturers can Harness to Turn the Coronavirus Crisis into ARTIFICIAL INTELLIGENCE Artificial intelligence permeates the entire Industry 4.0 ecosystem and is not only limited to the production floor. One example of this is the use of AI algorithms to optimize the supply chain of manufacturing operations and to help them better respond to, and anticipate, changes in the market. To construct estimations of marketdemand, an
WHY OVERALL LINE EFFICIENCY IS A NECESSARY METRIC FORSEE MORE ON BLOG.SEEBO.COMCALCULATE ASSEMBLY LINE EFFICIENCYPOWER LINE EFFICIENCYPRODUCTION LINE EFFICIENCYPOWER AND EFFICIENCY 7 WASTES PLUS ONE? THE HIDDEN 8TH WASTE IN LEAN The 7 waste in lean manufacturing: Transporting – moving materials from one position to another. The transport adds zero value, and there’s definitely room to minimize the costs. Waiting – one of the more serious wastes in manufacturing, simply put, waiting for goods to move or be processed. Inappropriate Processing – often INDUSTRY 4.0 INITIATIVES ARE FAILING Industry 4.0 promises manufacturers a range of business benefits from improving product performance, quality, and safety, to leading data-driven development and increasing customer satisfaction. Yet only 26 percent of industry 4.0 initiatives are succeeding. In this post,we'll learn why.
WHY SEEBO | THE PREDICTIVE QUALITY AND YIELD SOLUTION The Seebo solution is designed for your process experts and production teams to use – with a simple, intuitive interface, real-time alerts and best practices that can be quickly and effectively used to investigate and prevent production losses. Continuously adapts to changes in your process. The Seebo solution works continuously behindthe
FEATURED CUSTOMERS THAT HAVE BENEFITED FROM SEEBO'S SOLUTIONS Seebo has helped dozens of companies improve their OEE, product quality, and manufacturing yield. In this page, you will be able to review Seebo's customers and explore different use cases from different industries elaborating on how they benefited from the Seebo industry 4.0 solutions. FOOD MANUFACTURERS PREVENT QUALITY, YIELD & WASTE LOSSES Food manufacturers predict & prevent losses with Seebo. Food manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size BAKED GOODS MANUFACTURERS PREVENT QUALITY & WASTE LOSSES Baked goods manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes. Rejects due to weight Prevent broken units Net weight overweight Reduce size variability Reduce color variabilityReduce
PREDICTIVE QUALITY
Know how to prevent losses from occurring in the future: Reveals your optimal process settings, enabling process experts to avoid the inefficiencies driving your production losses. Cross-problem analysis to understand how process inefficiencies influence each other. Multi-tag analysis to understand interrelationships between tags. JOB OPPORTUNITY: BI DEVELOPER Seebo is looking for a hands-on and highly motivated Senior BI Developer to join our Data Solutions team. We are looking for a strong analytical person with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In addition, you will need to be a people person, who will be able to establish a strong connection with PRODUCTION OPTIMIZATION CASE STUDY: IMPROVING PRODUCTION Most importantly, the quality and yield issues that had been plaguing production and harming their bottom line were drastically improved, leading to savings of nearly €1 million. In particular, instances of losses due to high levels of trichloroethane dropped from 6.7% to just 2.35%, an improvement of 65% – hitting their long-elusive goal DOWNLOAD THE FULL CASE STUDY Learn how a multinational manufacturer of Ethylene Dichloride saved nearly €1M/year on a single production line, by preventing process inefficiencies. Using Seebo's proprietary Process-Based Artificial Intelligence, they: Reducedquality losses by 65%. Learned 142 completely new insights about their production process. Increasedproduction
THE MANUFACTURER’S GUIDE TO SELECTING THE RIGHT INDUSTRIAL 4 Manufacturers struggle daily with a range of challenges, which contribute directly and indirectly to losses in revenue. These losses range from maintenance work, to downtime, to production losses (waste, yield, quality, etc.), to energy inefficiencies, and more. MAKING SMARTER DECISIONS BY USING AI FOR PROCESS At Seebo, we are leveraging industrial AI technologies to ensure the gathered data is being put to use, primarily, for smarter decision making to optimize production. By employing digital twin analytics, automated root cause analysis, and predictive analytics – process manufacturers have visibility into production processes and theirlosses.
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rocks line2
Predict & Prevent Lossesin Production Yield and Quality ------------------------- PROCESS INEFFICIENCIES DAMAGE PRODUCTION.KNOW _WHEN_ AND _WHY_ THEY WILL HAPPEN, AND _HOW_ TO AVOID THEM. 3 MIN. INTRO GET DEMOrocks line2
Predict & Prevent Lossesin Production Yield and Quality ------------------------- PROCESS INEFFICIENCIES DAMAGE PRODUCTION. KNOW _WHEN_ AND _WHY_ THEY WILL HAPPEN, AND _HOW_ TO AVOID THEM. 3 MIN. INTRO GET DEMOrocks line2
Predict & Prevent Lossesin Production Yield and Quality ------------------------- PROCESS INEFFICIENCIES DAMAGE PRODUCTION. KNOW _WHEN_ AND _WHY_ THEY WILL HAPPEN, AND _HOW_ TO AVOID THEM. 3 MIN. INTRO GET DEMO SOLUTIONS POWERED BY PROCESS-BASED ARTIFICIAL INTELLIGENCE OUR SOLUTIONS TAKE A HOLISTIC VIEW OF THE ENTIRE PRODUCTIONPROCESS TO DELIVER ACTIONABLE INSIGHTS YOU CAN TRUSTPREDICTIVE QUALITY
Aggregates data from the production line, including data from automated quality inspection systems, and applies process-based machine learning to predict and help prevent process issues that drivescrap and rework.
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PRODUCTION OPTIMIZATION Production teams predict and prevent unexpected process inefficiencies that damage production yield. Optimal production conditions are maintained, and production profitability maximized.Learn more
PREDICTIVE WASTE
Reduces production waste in process manufacturing, where quality inspection is regularly performed. Machine learning models are applied to alert engineers to process disturbances that causeexcessive waste.
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EASY TO CONFIGURE. INTUITIVE TO USE. QUICK TO DEPLOY.* Process Digital
-------------------------Twin Modeling
* Process-based
-------------------------Predictive Analysis
* Automatic Root
-------------------------Cause Analysis
* Predictive
-------------------------Simulation
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ACCURATE AND ACTIONABLE INSIGHTS FOR OPERATIONAL TEAMS PRODUCTION OPERATORS AND SHIFT MANAGERS Get actionable alerts and relevant insights in order to take corrective actions quickly and accurately. MAINTENANCE AND QUALITY MANAGERS Predict quality and downtime problems and quickly pinpoint the root causes with confidence. FACTORY AND PROCESS ENGINEERS Adapt workflows, methods and assets to continually improve production line efficiency and yield. PRODUCTION LINE AND PLANT MANAGERS Make data-driven decisions to improve quality, cut maintenance costs,and increase yield.
PRODUCTION OPERATORS AND SHIFT MANAGERS Get actionable alerts and relevant insights in order to take corrective actions quickly and accurately. MAINTENANCE AND QUALITY MANAGERS Predict quality and downtime problems and quickly pinpoint the root causes with confidence. FACTORY AND PROCESS ENGINEERS Adapt workflows, methods and assets to continually improve production line efficiency and yield. PRODUCTION LINE AND PLANT MANAGERS Make data-driven decisions to improve quality, cut maintenance costs,and increase yield.
“Seebo solutions deploy Microsoft Azure AI services at scale. We’re excited to be a strategic component of the digital transformation that Seebo delivers to our enterprise clients.“Warrick Hill, MD, Microsoft Europe.Learn more
“Internet of Things remains a top focus for CIOs driving digital business transformation…The Seebo industrial IoT platform is cool because it enables a fast and easy way for organizations to developIoT systems”.
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SEEBO IN ACTION – FEATURED CASE STUDIESSOLUTIONS
Solutions Overview
Production OptimizationPredictive Waste
Predictive Quality
Predictive MaintenanceDigital Twin
Condition MonitoringINDUSTRY
Food & Beverage
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