Summary
iPASP SPC is part of industry 4.0. Under smart production, it helps you guarantee good quality output. It can analyze data, monitor quality, and predict future trends using its backend big data database. iPASS SPC's friendly control interface, diverse visualized charts, quality testing analysis, unrestricted online control, and testing report generation makes it an irreplaceable tool for you to lead the industry.
Features
- The friendly control interface and intuitive input design means the quality control staff only need to input each testing result to save the data in the database. They do not need to input other information (e.g. batch number, material machine, product, department, etc.) It reduces unnecessary manual inputs and increases overall efficiency and success rate.
- The rich, diverse control charts can satisfy different applications in different industries and production methods. These include: Xbar chart, Xbar-R chart, X chart, P-chart, NP-chart, C-chart, U-chart, etc. Users can configure SPC charts flexibly according to different quality monitoring and analysis purposes to adhere to the needs of different departments and analysis angles. It can also display multiple control charts to develop an understanding of all control statuses. It provides the best data visualization. It uses different colors to provide intuitive error monitoring. When the mouse cursor hovers over the data point, it will display dynamic, real time information.
- Besides ±3 standard deviations, it also includes 7 consecutive point increases or decreases and 7 consecutive points above or below the boundary. The control boundaries can also be customized depending on client needs.
- The friendly control interface and intuitive input design means the quality control staff only need to input each testing result to save the data in the database. They do not need to input other information (e.g. batch number, material machine, product, department, etc.) It reduces unnecessary manual inputs and increases overall efficiency and success rate.
- Different statistical analysis markers are paired with the original data, these include: Mean, maximum, minimum, range, std, ca, cp, cpk, etc. These values are used to produce statistical analysis charts for production capabilities. It can also use bar graphs, pareto analysis, trend graphs, scatter graphs, pie charts, etc, to analyze the completion rate and production stability of each product.
- iPASP SPC is not restricted by time and space through authorized online control. Users can gather information and analyze the data in real time throughout the plant.
- The system can automatically generate product testing reports, Certificate of Analysis (COA), using different testing data. Testing staff can select the specific batch number to generate the COA chart. Staff do not need to copy or generate a report on their own. Besides reducing data errors and making report archiving easier, the system makes it easier and more efficient to send the reports to clients.
- With different control guidelines and flexible control boundaries, when an error exceeding the boundaries occurs, the data and control graph will change color and send warnings to the related staff through Email. The system can send the information to related staff and managers on specific times or set days, weeks, or months.
- iPASP SPC does not limit you to one computer or laptop. With complete authorization security, users can access the system through smartphones, iPads, and other mobile devices. It does not limit the users in anyway, allowing them to control and monitor the system from different platforms.
- It can help you view the status of your plant quality control in its entirety. The simple image color changes can help identify products with errors quickly. When the cursor is moved over the image, it will display all the information of the product. Furthermore, it can provide all the information of the production line, including date, product, batch number, machine, staff, testing value, UCL, LCL, and other data.
System Screen
1.Control Charts
2.Statistical Process Analysis
3.Integrated Dashboards
Analysis method
Nine major control graphs
By using the nine major control graph with different testing guidelines, the system can perform quality monitoring and analysis on production, products, and materials.
Rate production capability level
Analyze the stability of production using the calculated mean, std, Cpk, Ca, Cp, and PPM.
OCAP
Use 5M1E to analyze causes to implement quality correction plan (Out of Control Action Plan, OCAP) to ensure quality adheres to the guidelines.
System Requirements
CPU:Pentium 166 or higher
OS:
Windows 7 all editions SP1 (on x64),
Windows 8.1 all editions (on x64),
Windows 2008 Standard Edition SP2 (on x64).
Windows 2008 Enterprise Edition SP2 (on x64).
Windows 2008 Standard Edition R2 SP1 (on x64).
Windows 2008 Enterprise Edition R2 SP1 (on x64).
Windows Server 2012 Standard (on x64).
Windows Server 2012 Standard R2 (on x64).
Browser:
Firefox version 36.x or 37.x.
Google Chrome version 41.x or 42.x.
Microsoft Internet Explorer version 8.x, 9.x, 10.x, or 11.x.
HDD:
12G or higher
RAM:
4G or higher
Installation
1.Install MSTR
- MicroStrategy Analytics Modules
- MicroStrategy Command Manager
- MicroStrategy Developer
- MicroStrategy Enterprise Manager
- MicroStrategy Integrity Manager
- MicroStrategy Intelligence Server
- MicroStrategy Mobile
- MicroStrategy Object Manager
- MicroStrategy Office
- MicroStrategy Operations Manager
- MicroStrategy SDK
- MicroStrategy System Manager
- MicroStrategy Web