Automated Manufacturing in Action
We pull your plant data into one dashboard so you can get data-driven insights into your processes and make automatic improvements with AI. Optimize manufacturing process improvement with ProcessMiner.
The Future of Autonomous Control Is Here
Manufacturers have traditionally relied on descriptive and diagnostic analytics to get insights into inefficiencies in their operations. But these reactive technologies focus on what went wrong after it happened. Go from reactive to proactive with our AI manufacturing software. With autonomous control capabilities, ProcessMiner automates corrective action and prevents process inefficiencies before they happen. Increase yield, minimize human errors, and reduce material waste.
DIFFICULTY
VALUE
REACTIVE
PROACTIVE
Get a Holistic View: Data Analytics for Manufacturing
ProcessMiner consolidates your process data to give you a single view of your plant. Detect inefficiencies undercutting product quality. Find flaws increasing scrap and material waste. See the most efficient ways to use raw materials. And highlight the deviations that undermine your operating efficiency. Do it all with ProcessMiner's closed-loop control of your machines with continuous manufacturing optimization.
Closed Loop
“Solenis has been a strategic partner of ProcessMiner since 2017. Their AI and machine learning autonomous control solution, has been instrumental in supporting our efforts to assist our customers on their digital journey.”
Automated Quality Control At Work
Clean, relevant, and actionable data is key to automate production processes. ProcessMiner monitors all your historical and real-time data to make sure your server is powered with trustworthy data you can act on. Data analysis uncovers gaps, faulty sensors, and needed adjustments to improve your production rate. Connected to sensors across your plant, our AI manufacturing software reviews plant data 24 hours a day, 7 days a week.
With the modeling complete, ProcessMiner’s machine-learning algorithms use the aggregated data to spot inefficiencies and problems before they occur. Paired with AI, our manufacturing automation platform then forecasts what will happen during the production run, equipping you with recommendations to improve operational efficiency and quality.
ProcessMiner provides easy-to-read suggestions on improving processes and performance measures. Simply log into your dashboard for an overview of your unique performance metrics. Recommendations are listed according to their potential impact and are aimed at helping you improve product quality, increase yield and throughput, and reduce costs, waste, and energy.
With each observation, recommendation, and adjustment, ProcessMiner’s machine learning and AI gain more information regarding your processes. It uses these insights to perfect future predictions and forecasts and optimize processes over time.
Advanced machine learning models adjust to the constantly changing data our sensors identify in your manufacturing processes. Our self-learning, self-adapting AI was built to improve over time. The longer ProcessMiner is used, the more it improves.
With good, clean data behind it, our software applies advanced data science and machine learning techniques to your manufacturing operations, giving you new insights into how to improve your processes and drive ROI. From Microsoft Azure to Litmus, our clients use ProcessMiner to improve product quality, cut down on waste, hit their sustainability goals, and save up to 500k per year per production line on average.
Automated Manufacturing Made Simple
Our goal is to deliver low-cost implementation in eight weeks or less.
PHASE 1
Define
Our manufacturing data experts do their due diligence to understand how to best tailor ProcessMiner to your unique operational needs and current performance. Together, we will define the scope and KPIs, covering the metrics that matter most to you and your business.
PHASE 2
Implement
We review your current and historical processes and production data to ensure they're reliable, relevant, and of high quality. After reviewing the data and making any necessary changes to help ensure quality standards and reliability, we move to implementation.
PHASE 3
Measure
You can only improve what you measure. Our team digs into the results to understand the impact of our recommendations. Once we secure the consensus of your team, you sign off and we deploy to production.
Get Continuous Optimization
With ProcessMiner
Discover how you can improve manufacturing cycle time with continuous flow processes
and quality control automation.
ProcessMiner FAQs
ProcessMiner leverages historical process data, production run sampling, QA lab tests, and real-time data from in-line sensors, camera systems, and meters.
ProcessMiner is a SaaS turnkey AI closed-loop system. Our proprietary algorithms and deep learning techniques use a subset of the process data from the historian (and other operational systems mentioned) along with real-time updates from inline sensors, vision systems, manual lab tests, and more to predict production outcomes, recommend corrective action if expected outcomes are outside specs, and execute the correction autonomously with no human interaction.
Our primary focus is helping manufacturers automate and optimize production processes. The resulting production value includes but is not limited to, optimizing product quality, reducing waste, minimizing consumption of raw materials, and improving overall equipment effectiveness.
Our autonomous control solution can control any pump, valve, switch, gauge, actuator, or other device accessible through any IIoT gateway or SCADA system. Typically, our platform controls key process parameters such as recipe, chemistry, flow, heat, cooling, and pressure.
Despite leveraging the latest state-of-the-art technologies, ProcessMiner was designed from the ground up as a fully operational autonomous control platform specifically for floor manufacturing environments and their processes. For this reason, the data models that act as the backbone of our solution were designed to be adaptive and self-learning, with easy-to-use graphical interfaces (I/F) and dashboards. Our clients can take full advantage of our platform without the need to staff expensive and hard-to-find data scientists, modelers, or analytic SMEs.
Compared to competitive offerings, which require significant deployment consulting and development time, ProcessMiner is a fully functional turnkey SaaS platform requiring no CapEx spending. ProcessMiner is a purpose-built solution designed from the ground up to address the specific operational and technical challenges faced by continuous manufacturers of all sizes. By applying cutting-edge AI and ML techniques, we can predict quality outcomes during a production run and proactively execute real-time adjustments to process control parameters to improve manufacturing processes and meet customer quality specifications.
The short answer is yes. Our automated manufacturing system uses historical, sample, lab tests, and real-time data from critical stages of the production line process. Typically, we need 6-12 months of process data baseline to effectively feed our data models. Whether the data is manually or automatically collected, it can be fed into our models. We can accept most standard data formats, including flat file, relational, TXT, CVS, XML, SQL, JSON, etc.