Smart Statistical Process Control (SPC) software in the cloud
Collect or import all your quality data to Alis, and let our SPC toolkit tell you how you perform.
Store all your quality data in one system. So that everyone involved with quality has immediate access. All data is available, sanitized and clean. No need to prepare, dive into the analytics right away.
Powerful filtering enables you to easily create the datasets you want to analyze. Store your overviews and charts in clear dashboards for quick reuse.
Our Statistical Process Control toolkit will make your data come alive. Tools like control charts, x-bar range charts, histograms, boxplots, scatter plots, correlation plots, cpk and ppk will let you learn from your data.
Automatic deviation detection and automated Shewhart pattern detection, based on the Nelson rules, enable you to wait for the system to inform you.
Many SPC tools are too complex or too expensive to be used on the shopfloor. We fixed this. With our user friendly software and unique license model, we make Statistical Process Control available for the entire organization. From shop floor to boardroom.
Easily create your own dashboards and define alerts. Now sit back and wait for the system to notify you.
Our software is designed to be implemented and maintained by the end-users.
Anyone that can Google, can create forms for data collection, charts and personal dashboards. There is hardly no training needed.
Excel import templates enable you to import all your historical data, and make a jump start with your quality analytics.
Allnex, a leading chemicals manufacturer uses Alis to monitor the quality of each of its 500 products. Alis notifies the product owners proactively, enabling to adjust before products run out of spec.
Peter Dousma - Manager Quality Control Allnex
Bergen op Zoom, Netherlands
Your toolbox in monitoring the journey towards a better process, should contain performance indicators of some sort. The indicators enable you to quantify your as-is situation, define the to-be situation and evaluate each step along the path. This document discusses KPIs for the following aspects of Quality Management: