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United States
1-10 Employees
2017
Striving for Advancements, a Team Effort with True Analytics Manufacturing Solutions! We tried machine monitoring 3 times in the past without success, we wouldn't have considered a 4th attempt unless it was a completely different solution. RevolutionCore™ is actionable on day 1, nothing else was like that. Having an easy way to create, modify and enhance extremely detailed digital shop floor documents, like setupsheet, changed everything for us! Before we would make suggestions talk about the 'next time' we run this part we need to do xyz, but ultimately we would forget, loose the critical information or just get too damn busy.
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Featured
True Analytics - Manufacturing Process Improvement
... True Analytics - Manufacturing Process ...
Niort, France
1-10 Employees
Valiot was built in response to decades of on-site manufacturing experience. At Valiot, we know that employees are what shape a business, so we created a culture where living the values and leading with empathy allows employees to make creative and innovative products and services that satisfy our customers. We are a result-oriented team that constantly challenges the way things work. We are here to provoke, challenge, and deliver a new way of doing things. Valiot Al enables plant managers to identify and quickly alleviate production bottlenecks without dismantling existing infrastructure or equipment. We speak loud and clear and say what must be said; we are a highly competitive team fueled by challenges and curiosity to find new ways to deliver value to manufacturers globally. Trusted by some of the most forward-thinking manufacturers globally. Using powerful AI Algorithms, with a System Dynamics approach, Valiot provides manufacturers with tools to evolve their production into a smart, connected and autonomous operation, providing operational advantages never imagined before.
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Featured
Smart Manufacturing Made Easy | FactoryOS | Valiot
... Next-gen manufacturing analytics. ...
Andoain, Spain
11-50 Employees
Boost the overall plant productivity by increasing machine uptime. Improve manufacturing quality by identification and monitoring of disturbances and minimizing process variability. Analyze and optimize energy consumption, crossing energy with production and process parameters.
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Featured
From IIoT to Manufacturing Analytics
... From IIoT to Manufacturing Analytics ...
Madrid, Spain
1001-5000 Employees
2008
We are uniquely prepared to help clients disrupt their industry with our precision cloud solutions. We deliver custom cloud solutions using cloud native development and application modernization from certified cloud experts. Used by 25,000+ Doctors on Cloud, Cloudpital is the healthcare Industry leader in Middle East, Australia, Africa and Now expanding to US & Canada. Pakistan’s #1 Cloud Payroll Platform trusted by 3,000+ corporates. We offer turnkey solutions for common challenges as well as custom solutions for more particular needs. From cloud migration, to cloud management, to cloud-native development – are designed to deliver business impact and drive innovation. Create Tasks for Team, Surveys to Conduct and Monitor Competitors Products with TrackQlik.
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Featured
Manufacturing Analytics
... Bilytica Manufacturing Analytics offers features including price volume mix analysis and Monitoring of results & set up objectives for shipping ...
Pune, India
11-50 Employees
We are friendly, and we care about the personal goals and aspirations of our teammates. We are building an honest, open organization and filling it with energetic, talented professionals. We believe there's a better, simpler way to do things. Prasad brings 18 years of experience with industrial automation products and solutions to ITANTA. Harshad brings 15 years of enterprise product development experience to ITANTA. We take pride in our work, and we show respect to our customers by delivering a high-quality product. Manage production and track OEE based on real data, real-time.. Designed and developed by a team of experts in industrial automation and software development to be highly intuitive, ITANTA allows you to develop reports without a single line of code.
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Featured
Itanta Analytics - Industry 4.0 | Factory Reporting | Manufacturing Analytics
... Itanta Analytics - Industry 4.0 | Factory Reporting | Manufacturing Analytics ...
Munich, Germany
1-10 Employees
2021
Envision new possibilities and extraordinary value paths by using AI-powered data science solutions and accelerators:. AI deep tech and industry experts with 15+ years of experience. Easy and fast iterations with agile working methods. Fully featured lean workbench with numerous industry metrics. Design thinking approach for lightning fast time to value.
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Featured
Innovationen gestalten | Lean.IQ | München
... Make AI your high-performance engine with in-depth market and manufacturing analytics while accelerating time-to-value in your ...
Morrisville, United States
51-100 Employees
1998
Dploy Solutions is a cloud-based digital management software that helps businesses develop and implement strategic plans, drive operational performance through KPI tracking, and use action plans and countermeasures to achieve continuous improvement. The “Business Plan” extends the offerings of the KPI and Strategy plans by integrating current tier data with analytics and historical data. Developed by the operations and management system experts at TBM Consulting Group, Dploy Solutions digital manufacturing software allows employees at all levels to see the direct correlations between daily improvement actions and strategic plan success. These areas illustrate the impact our solutions had on a multi-division industrial manufacturing client who utilized Dploy Solutions’ Strategy Deployment to improve results attainment. For large organizations we also offer competitive enterprise rates. Every client is assigned a customer success manager who provides turn-key configuration, training and on-going support after the launch. Strategic planning can provide universal value to organizations of all sizes and industries. That is why we work with companies from many different industries such as Manufacturing, Utilities, Health Care, Government, Transportation and many more.
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Featured
Manufacturing Business Intelligence and Analytics Software
... Manufacturing Business Intelligence and Analytics ...
Haifa, Israel
11-50 Employees
2017
Matics is a multi-source data analytics solution that provides each stakeholder with the decision-ready insight and call-to-action capabilities they need to make it easier for them to do their job and win each shift. Matics helps you focus your attention where it is needed most with real-time triggers and alerts delivered to the relevant stakeholders, enabling rapid response when necessary. Matics continually measures and analyzes real-time data combined with historic data, providing key stakeholders with relevant triggers and alerts when attention is needed and optimizing management of KPI’s, OEE goals, and other critical measures. The Matics mobile app has the relevant information each person needs and delivers it to their hands at the right time, in the right context, so they can perform their job with ease. The Matics Tablet interface enables real-time aggregation of data directly from the shop-floor machines and people, providing operators, shift and QC managers with instant access to data, enhanced visibility and powerful communication capabilities. Matics is a true partner we can rely on to continuously deliver new solutions and solve issues as they arise. Matics enabled us to apply standard measurement to our production lines worldwide, and react in real-time to critical production issues. Aggregate, analyze and act in real-time, gain production efficiency and improve overall productivity and profitability.
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Featured
Manufacturing Analytics Software for QC Managers | Matics
... Unify all your quality operations under a single manufacturing analytics software, standardizing measurements for quality control and reduce reject yield across the enterprise. ...
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Some interesting numbers and facts about the results you have just received for Manufacturing Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 118 |
| Amount of suitable service providers | 105 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1998 |
| Youngest suiting company | 2021 |
Manufacturing Analytics refers to the advanced analytical techniques and processes used to examine manufacturing data, aiming to improve production efficiency, product quality, and operational performance. These analytics utilize vast amounts of data generated throughout the manufacturing process, including machine performance, production rates, quality control metrics, and supply chain operations. By applying statistical, predictive, and prescriptive analytics, businesses can uncover hidden patterns, identify potential problems before they occur, and optimize manufacturing processes. The integration of manufacturing analytics marks a pivotal shift in the industry, transitioning from traditional reactive approaches to proactive, data-driven decision-making. This shift not only enhances operational efficiency but also significantly reduces waste, improves product quality, and accelerates time-to-market. Furthermore, by enabling a deeper understanding of production dynamics, manufacturing analytics supports the development of more agile and responsive manufacturing systems. As a result, companies can better adapt to changing market demands and technological advancements, ensuring sustained competitiveness and growth. In essence, the role of manufacturing analytics within its field is transformative, providing the backbone for innovation and continuous improvement in manufacturing operations.
1. Improved Efficiency
Manufacturing analytics enables companies to optimize their production processes by identifying inefficiencies and bottlenecks. This leads to a significant reduction in waste, enhanced productivity, and lower operational costs, making it a more favorable option compared to traditional methods that may lack real-time insight and precision.
2. Enhanced Product Quality
By leveraging data analytics in manufacturing, businesses can monitor and control the quality of their products more closely. This technology allows for the early detection of defects or deviations from quality standards, ensuring that only products meeting the highest criteria reach the customer. This proactive approach contrasts with reactive quality control measures, which can be more costly and less effective.
3. Predictive Maintenance
Manufacturing analytics outshines alternatives by offering predictive maintenance capabilities. By analyzing data from machinery and equipment, it can predict failures before they occur, allowing for timely maintenance. This not only extends the lifespan of the equipment but also prevents unexpected downtime, ensuring continuous production and higher reliability.
4. Customization and Flexibility
In an era where customer preferences rapidly change, manufacturing analytics provides the agility needed to adapt production lines and processes efficiently. This capability to customize products on demand and with minimal delay is a stark advantage over more rigid, traditional manufacturing setups that may struggle with quick pivots in production strategies.
1. Integration Capabilities
Ensure the supplier's solution can seamlessly integrate with your existing systems and data sources. This compatibility is crucial for smooth operations and data consistency.
2. Real-time Data Processing
Select a supplier that offers real-time analytics capabilities. The ability to process and analyze data instantly is vital for timely decision-making and operational efficiency.
3. Scalability
Consider the scalability of the solution. It should be able to grow and adapt as your manufacturing operations expand or evolve over time.
4. Customization Options
Look for a supplier that provides customizable analytics tools. The ability to tailor the solution to your specific needs can significantly enhance its effectiveness.
5. Security Features
Evaluate the security measures in place to protect your data. Strong encryption and access controls are essential to safeguard sensitive information.
6. Technical Support and Training
The availability of comprehensive technical support and training resources is important. This ensures your team can fully leverage the analytics solution and address any issues promptly.
7. User Reviews and Case Studies
Research user reviews and case studies to gauge the supplier's performance and reliability. Real-world feedback can provide valuable insights into the solution's impact and effectiveness.
Manufacturing analytics has become a pivotal tool in enhancing operational efficiency across industries. One significant use case is in predictive maintenance, where data analytics can forecast equipment malfunctions before they occur. This foresight minimizes downtime and extends the lifespan of machinery, crucial for industries reliant on continuous production lines, such as automotive manufacturing. In the realm of quality control, manufacturing analytics enables businesses to detect anomalies in real-time. By analyzing production data, companies can identify deviations from quality standards, reducing waste and ensuring that products meet customer expectations. This application is particularly beneficial in sectors like pharmaceuticals, where adherence to precise standards is mandatory. Supply chain optimization is another area where manufacturing analytics shines. By analyzing logistics data, companies can identify inefficiencies in their supply chains, predict potential delays, and optimize inventory levels. This capability is essential for industries facing complex logistics challenges, such as electronics manufacturing, where timely delivery of components can significantly impact production schedules. Lastly, manufacturing analytics aids in energy management by monitoring and analyzing energy usage patterns within production facilities. Companies can identify opportunities to reduce energy consumption, thereby lowering costs and contributing to sustainability goals. This use case is relevant for all manufacturing sectors, especially those with energy-intensive processes, such as chemical production.
Manufacturing analytics, as a pivotal component of the industrial Internet of Things (IoT) and Industry 4.0, currently sits at a Technology Readiness Level (TRL) of 7 to 8. This classification signifies that the technology has evolved from prototype demonstration in operational environments (TRL 7) to actual system completion and its successful demonstration (TRL 8). The progression to these stages is underpinned by significant technical advancements in data processing capabilities, connectivity, and machine learning algorithms. The ability to collect vast amounts of data from manufacturing equipment in real-time and subsequently analyze this data for insights has been bolstered by improvements in sensor technology and high-speed, reliable internet connections. Moreover, the integration of advanced machine learning algorithms has enabled the predictive maintenance of equipment, optimization of production processes, and enhancement of quality control mechanisms. These technical achievements have not only proven the feasibility and effectiveness of manufacturing analytics in real-world settings but also have laid the groundwork for its ongoing refinement and scalability. As a result, manufacturing analytics stands on the brink of widespread adoption, poised to transform the manufacturing sector by increasing efficiency, reducing costs, and enhancing product quality.
In the Short-Term, manufacturing analytics is poised to see significant growth in the integration of real-time data analytics and AI-driven predictive maintenance. Companies will leverage IoT devices and sensors more extensively to monitor equipment and production lines, enabling immediate data analysis for operational efficiency and reduced downtime. This phase focuses on enhancing current manufacturing processes, ensuring immediate improvements in productivity and cost savings. Moving into the Mid-Term, the emphasis will shift towards the adoption of advanced machine learning algorithms and more sophisticated AI solutions. These technologies will enable more nuanced analysis of vast data sets, leading to deeper insights into manufacturing operations. Manufacturers will begin to predict market demands more accurately, streamline supply chains, and customize production processes dynamically. This period will mark a transition from reactive to proactive analytics strategies, optimizing not just production but also market positioning. In the Long-Term, the future of manufacturing analytics is expected to revolutionize with the advent of fully autonomous smart factories. These facilities, powered by AI and robotics, will operate with minimal human intervention, relying on advanced analytics to self-optimize production processes. The integration of virtual reality and digital twins will enable real-time simulation and testing, further enhancing efficiency and innovation. This era will redefine manufacturing limits, pushing towards a seamless blend of digital and physical production realms.
