An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples

Manostaxx The text that follows is owned by the site above referred. Here is only a small part of the article, for more please follow the link SOURCE: https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer BY NICK MCCREA – SOFTWARE ENGINEER @ TOPTAL Read the Spanish version of this article translated by Marisela Ordaz Machine Learning (ML) is coming into its […]

What is Machine Learning and How is it Changing Business?

Manostaxx The text that follows is owned by the site above referred. Here is only a small part of the article, for more please follow the link SOURCE: https://smallbiztrends.com/2016/11/what-is-machine-learning.html by Michael Guta  Machine learning may once have been a topic of discussion only for computer scientists and researchers. Now, however, it is a technology businesses […]

OEE Systems

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SOURCE: http://www.its-ltd.co.uk/services/oee-systems-5.aspx

Introduced in the 1960s and 70s for the Japanese Automotive Industry, Overall Equipment Effectiveness (OEE) is a key metric used by many manufacturing industries today, to improve line and overall plant efficiency.

OEE calculations are based on three main criteria: performance, availability and quality. The results from OEE calculations determine Productivity Analyticshow effectively production machinery  and equipment is running. In an ideal world a machine would run 100% of the time producing 100% good quality products. However studies show that the average OEE rate in manufacturing plants is 60%.

In order to improve OEE, a range of data needs to be collected including equipment, machine, production efficiency, waste, downtime, operators, orders, shifts, events, products, causes, frequency and reasons.

Productivity Analytics

Industrial Technology Systems Ltd (ITS) provides OEE Systems, designed to automatically collect this real-time data for further analysis. Whilst an OEE System alone will not increase productivity, the accurate real-time equipment and plant metric data collected and stored in the automated system, enables companies to make effective, quick decisions that improve overall efficiency and profitability.

ITS offers ICONICS Productivity Analytics OEE solution. The system empowers decision makers at all levels of the enterprise with real-time and accurate information to help them drive global operational efficiency and strengthen competitive market advantage. Gain insight into your operations through real-time data aggregation and connectivity to multiple data sources, presented in an intuitive and intelligent manner. Productivity Analytics helps to establish manufacturing context with KPIs such as OEE, cycle time and throughput, and deliver manufacturing intelligence to the entire organisation.

 

Traceability Systems

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Manufacturers in safety critical industries such as aerospace, automotive, food and beverage, medical device, nuclear and pharmaceutical are responsible for tracking and tracing products through all stages of production, processing and distribution. Real-time computerised traceability systems offer an effective, accurate and reliable solution to meet these requirements.

ITS can offer advice in traceability solutions, including the food regulation 178/2002/EC, introduced in January 2005, RFID, DPMI (the process of marking products with a 1D or 2D code to track the parts) and Machine Vision Systems. Whether you need assistance in identifying your needs, writing a User Requirement Specification or designing and implementing a solution, ITS’ team can assist.

Since Industrial Technology Systems (ITS) was established in 1991, the company has designed and implemented many traceability systems in regulated industries. ITS’ traceability systems are designed to track products through all stages of the manufacturing cycle. The systems gather real-time shop floor data through the automatic devices (code readers / RFID), provide full audit trails and accurate genealogy, required to meet strict industry regulations.