Updated calculations and more easily justified findings
Engineers develop calculations, projects, expertise or maintain objects. Customer changes and new measurements can affect already agreed technical solutions.
Engineers develop interrelated solutions and calculations. Before delivering the result to the customer, the specialists responsible check the initial data, assumptions and documents.
The specialist checks the project or technical issue submitted to him and draws up a conclusion of a set scope. His comments are linked to specific documents and evaluated data.
Monitors work and checks for the correction of non-compliances within its remit and contract.
The team solves agreed-upon technical issues for the client, and reviews calculations and documents. Each referral has data provided, a responsible specialist, and a captured answer.
The result of engineering consultations is based on the customer's requirements, technical data and specialists' calculations. The changed premise can touch several documents and project participants. It is important for the client to understand the alternatives and their consequences, and for the team to preserve the history of the approved decision.
Define the requirement, assumptions and the mandate of the specialist.
Develop a calculation, model or evaluation with source versions.
Check the adequacy of the solution and the impact of the parts involved.
Transfer the usable version and retrieve object information when applicable.
To agree on technical result, documentation and commercial scope.
Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.
Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.
Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.
Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.
The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.
The notes, data used and confirmation are worth saving to the document. This allows the team to determine more quickly what needs to be converted and which version can be transferred to work.