MODEL USE An effective way to ensure the quality of development projects is to use models early in the process for both functional analysis and visualization in 2D and 3D. Models are also necessary to enable advanced process control, production planning and maintenance. Below are a number of areas where models can be used that are of particular interest for LKAB to develop. In some of the areas, there are ongoing initiatives that require further development and additional focus to form a complete MBE mindset. • Development projects Model-based engineering is initiated early in relevant development projects where intelligent digital descriptions of process flows and component data in the PDM/ALIM-product data management/asset lifecycle information management system are the foundation. Interoperability of generated data enables efficient project work and supports subsequent project phases. Structures and models are created, reused, and refined in subsequent lifecycles. Dynamic system models are established based on produced static descriptions and describe overall key metrics such as production capacity, economy, environment and energy use. Concept comparison is developed for prioritization between the alternatives. Requirements for system performance are developed and form a well- worked basis for the procurement of components and systems. • Construction work The Building Information Model (BIM) is the model of the facility or building itself, and Virtual Design and Construction (VDC) is a way of working that ensures that all participants in a project have access to models in the right way and at the right time. VDC is a systematized way to make models accessible and value-creating throughout the construction process. It connects all actors both at the level of detail and on the project as a whole. • Production Physical dynamic models that follow the process in realtime provide opportunities to use the models’ predictive abilities at any time. Control algorithms, production planning, action analysis and training are made possible in an efficient and distributed manner in the facilities. Insights into nonmeasurable conditions, so- called soft sensors, are provided through model-based estimation.
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