While the reason for this rationalisation was to allow for flexibility and future expansion, a change in business planning meant we had to bring this requirement forward, and expand the hospital while construction was underway, but also while keeping the lower floors operational.. Rationalisation of the internal grid does not limit the options for the external appearance or the aesthetic design of the building.
Visual information is vital in communicating complex issues.A generally accepted principle in systems thinking is that diagrams are required to convey complex issues in a way that text generally can't.. We also use modeling and data visualisation, to ensure that decisions are based on facts and data, rather than opinion and hunches.
Transparency of data sources and decision-making is important, because it gives people confidence in the analysis and the proposed solutions..Knowledge capture allows reuse of learning from project to project, promotes standardisation, and allows us to trace decisions through the life cycle of a project.. We will see how Chip Thinking® plays an important role in applying these principles.. What are Chips?.Chips are the smallest meaningful part of the processes that make up a supply chain.
Chips are sets of interacting or interdependent components, plus all the data that goes into them.They bring to life all data and stakeholder knowledge in one place, using a common language, so that everyone can understand every aspect.. Chips become the building blocks for our design.
They also become the building blocks for conversations between the people dealing with business strategy and those people dealing with design and implementation of the pharmaceutical engineering project.. We start off with the analysis of the business problem and then generate design elements.
Chips will often appear as 3D models, but that's not what they are.truss parameters, such as type, dimensions, and other product data.
production schedules, to specify the order in which truss types would be made.throughput and timing data, such as processing times of stations, speed of conveyors and speed of cranes..
The data itself was not hard-coded into the model and instead read from an external data file, which made running multiple simulations for differing parameters a rapid process.. Several different scenarios were simulated in the model that were made up from combinations of options.This included different production schedules and whether transport timings were included, to test sensitivity of the system to these inputs.
(Editor: Eco Organizers)