Step 1: Improve your factory visibility by
gathering manufacturing performance data of your
Step 2: Analyze the data using our simple visual dashboards and spot where your downtime is to unlock your hidden potential
Step 3: Improve the digitization of your information flow on your dashboard and understand what your causes for downtime are. Operators can simply report the reasons for downtime using our OpApp, moving away from the traditional paper-based data collection.
Step 4: Analyse the reasons for downtime on our visual graphs and spot what the major causes are and make data-backed and strategic decisions. Step 5: Repeat the steps and improve your productivity further taking data-backed decisions and validating them through the data and information collected.
SetApp: The simplest way to gather data is through
our SetApp. A smartphone app is placed on a holder looking
at the stack light or tower lights on the machines. The
status on the stack light indicates the operational status
of the machine and this data can be easily collected and
visualized to improve the data visibility of the
manufacturing resources on the shop floor. This solution
is suitable for companies that do not have a data
collection system in place and want to start quickly and
cost-effectively to validate the ROI of our system.
I/O signals: Using our edge device that can gather analog signals from manufacturing resources like machines and robots, we can know when the resource is active and working and when it is inactive and stopped. This can be used for resources without a stack light or any resource that sends analog signals.
Current sensors: Using current sensors clamped onto a resource’s power supply, or in the case of a CNC machine the spindle power supply wire, the resource utilization can be found accurately. This is a non-invasive and easy way of gathering data and requires an installation time of 15 minutes.
Protocols like MTconnect and OPCUA: We can also gather data through standard industry protocols like MTconnect and OPCUA, which will provide extensive data regarding the operating parameters of the manufacturing resources. The data from these protocols can help to predict future events like downtime, which is very useful to know so strategies can be put in place to avoid it or reduce it to an extent. The data from these protocols can be used to provide smart suggestions to improve the working of the resource.
We can gather data regarding the number of parts a machine produces through the data that we collect using any of our data collection methods. We require the cycle time and the part details being manufactured on the machines. This can be loaded on our dashboard by uploading an excel sheet with the part data in a predefined template or we can connect directly to the ERP system through an API(if access is available). The part can then be chosen for production by the operators through their operator app, the OpApp and based on the machine data collected, the part count is calculated by various methods. The operators can then report the good parts made and the scrap through the OpApp and this data is visualised on the dashboard.
Using our manufacturing assistant, the OpApp, we provide the operators with the most important tools to make informed and data-backed decisions. Our simple and intuitive graphs help the operators know how their machines are performing, and the easy reporting of downtime reasons gives them a simple reporting tool to report back to the office in real-time as well as reducing the paper trail on the shop floor. We also provide them with a simple checklist to remind them of their daily maintenance tasks to keep their machines up to date.
When downtime occurs on any of your manufacturing resources, you can trigger a workflow that sends a notification to the OpApp, which is the assistant to the operators. The operators can then provide the reasons for the downtime from a dropdown list curated by them. The reasons are then collected in real-time and visualized on our dashboard providing clear insights into what the major causes of downtime are. Having this knowledge will help make data-backed decisions and strategic changes to improve your manufacturing productivity.
Our solutions are industry agnostic. Even though our target customers are mostly manufacturing companies, we can gather data from any important resource to drive productivity improvements. If you have a conveyor, a robot, a packaging station, or any important resource that needs to be monitored, contact us and we will figure out a way to make you data-driven.
Manufacturing companies still rely on paper-based information transfer. It could be to gather reasons for downtime, a work order, or a maintenance checklist. We provide simple and easy-to-use tools to digitize the data collection methods for the machines and tools to digitize work orders and maintenance checklists that enable data traceability, that can be used to make strategic changes.
OEE is the measure of how well a manufacturing resource is utilized and is considered the gold standard for manufacturing productivity. It is the product of availability, performance, and quality. We can calculate OEE for customers on request but we would like to keep the metrics that we show as simple as possible to start with to find the easier and most relevant problems to solve with the simple metrics.
We can connect to ERP systems through API access if they do provide them. We have tested our use case using Monitor ERP, where we send data regarding the part counts and quality and we get data regarding the work orders on each machine.
Data-driven decision-making is not only about the tools but also the mindset that you develop. To become truly data-driven, you need to frame your purpose to become data-driven. Is it to improve your productivity, quality, effectiveness, or efficiency? For manufacturing companies that have the attitude to become data-driven, we have developed simple, easy-to-use tools to start your journey to become data-driven decision-makers.
The Nytt system has been tested in 5 companies and we have helped improve the productivity of these companies, reduced their downtime, helped them unlock hidden potential, and helped them formulate strategies on improving their untapped potential. On average our customers gain 20-30% improvement in their factory productivity by using our tools.
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