Process modelling is a powerful visual tool used to depict the flow of activities, decisions, and events that make up a business process. It serves as a way to break down complex workflows into smaller, manageable steps, and to map them out in a clear, structured format. Whether for analysing
Business Process Modelling and Notation (BPMN) has emerged as the de facto standard for process modelling. This comprehensive framework provides a standardised approach to visually representing and analysing business processes. By enabling organisations to communicate processes clearly and effectively, BPMN plays a crucial role in process management. In this blog
Structural engineering software plays a crucial role in designing, analysing, and simulating structures for buildings, bridges, towers, and other infrastructure. These tools are used by engineers to ensure that their designs meet safety, performance, and regulatory standards. With advancements in technology, structural engineering software offers powerful capabilities such as 3D
The traditional engineering design process applies engineering simulation at the detailed engineering stage to verify designs. This involves using software tools to model the design and simulate its performance under various conditions. Any modifications or optimisations are typically limited to areas that do not meet the design criteria. This approach,
Flow analysis is an essential methodology used in various engineering fields to understand, evaluate, and enhance the movement of materials, products, and data within a system. Whether in manufacturing, software development, or process engineering, flow analysis provides insights that can lead to more efficient operations. This analysis plays a vital
Advanced analysis in engineering refers to the use of sophisticated mathematical, computational, and experimental techniques to evaluate complex engineering systems and problems. This approach goes beyond traditional methods to provide deeper insights and more accurate predictions, often necessary for high-performance, safety-critical, and innovative applications. Key advanced analysis techniques include: Finite
