MBSE-PLM Alignment to Support Industry 4.0 and IIOT

Image credit: Interdisciplinary system V-model, University of Kaiserslautern Systems Engineering enables product data traceability Organisations and people need simplification to manage complexity and derive ‘big or complex things’ into...

ALM + PLM = IIoT

Need for data interpretation and traceability The Industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing. It incorporates machine learning and big data technology, harnessing ‘real-time’...

Industrial IoT: A Solution Looking For A Problem

It does not matter what technology is used in the background, whether it is called machine to machine (M2M), Internet of Things (IoT), mobility, cloud, big data, or whatever other technical jargon. The IoT is about sensors (which capture...

Big Data Engineering: Current Skills and Future PLM Considerations

Businesses demand more intelligent products and intelligent products demand data intelligence. The typical challenges with data engineering (which obviously relate to the ‘science of data‘) include one or more of the following considerat...

Data vs Big Data

Big data is a popular buzzword, or catch-phrase, used to describe a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software.  Data is dead. Long live big...

Internet of PLM

Nowadays everything is getting connected with ‘smart‘ products and devices transmitting and sharing useful information. In the manufacturing industry, data become more and more available with embedded software and sensors for analysis, o...