Introduction to the Construction Readiness Assessment

whitePaper | October 12, 2022

There is a revolution underway in the design and construction industry with digital fabrication, modular construction, 3D printing of building components (and even buildings), and robotics playing a larger role in every aspect of the construction process. The instructions for these buildings are evolving from paper-based documentation to digital information that is both human and machine-readable.

whitePaper | June 23, 2022

Model-Based Systems Engineering (MBSE) is perhaps one of the most misunderstood and often abused acronyms in the engineering vernacular. Many companies struggle to understand how it will improve their entire product lifecycle and address the ever-increasing complexity of products. In many companies, executives and middle management experience a lack of understanding regarding the rapid pace of today’s technology and its impact on organizations and processes. Technical practitioners may gain additional insight as they focus their energies on establishing strong MBSE practices. The successful implementation of MBSE includes transformations and enhancements in three key areas: organization, process and technology. This white paper shares proper planning and implementation considerations in adopting an MBSE practice. It provides a high-level view, defines critical components to help success and identifies many problematic areas to avoid in an implementation journey.

whitePaper | April 1, 2021

White paper about sustanable drain system.

whitePaper | August 13, 2022

Even before the pandemic, new technology trends and climate change were already pushing industrial organizations to reshape traditional business models. After the pandemic, this shift has only become more urgent. Today, organizations are seeking new ways to both drive their energy transition effectively and meet high-priority digital transformation needs.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

whitePaper | April 30, 2021

This is the third in a series of white papers by Wavin and New Civil Engineer looking at how sustainable drainage systems (SuDS) can reduce damage and cost caused by floods in the UK.