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’...

Single Enterprise BOM: Utopia vs Dystopia

Image credit: http://laurenware.weebly.com/utopia-vs-dystopia.html Bills of Materials, aka BOMs, are multilevel metadata structures that represent a hierarchical arrangement of components, materials, and other information required to dev...

What PLM Identity Crisis?

Product Lifecycle Management (PLM) is an ‘old‘ discipline; it came out in the mid 80’s as the engineering data management solution of choice to support product development, especially in the context of optimising CAD and Product Data Mana...

Single Source of Truth vs Single Version of Truth

Effective Master Data Management (MDM) and product development efficiency are closely linked. They are both concerned with data optimisation, decision-making and process improvement principles. Business process efficiency requires effect...

Connected Cars: Driving the Data Highway

Disruptive change The automotive industry is going through a disruptive change – moving into the era of full connectivity, full mobility, full integration, full immersive experience. First and foremost, connectivity decisions are an impo...

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...

Effective Requirements Engineering: Science or Art?

Typically, requirements are defined as follows: A function that the product or process must have, or a process must do (e.g. a functional attribute like the ability to sign-off the approval of an Engineering Change Notice or ECN followin...

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...

Hyperconnected Manufacturing: from Lean to Smart

Hyperconnectivity defines connectivity at a new level, multi-devices, multi-locations, multi-media, multi-purpose – bridging across platforms, silos, and bringing people together with ‘everywhere data‘ and social interactions through the...