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Bringing new efficiency to YOUR project with Optimisation Algorithms

Design engineering, by its nature, often involves a considerable amount of repetitive tasks. The shortcut 'Ctrl+C, Ctrl+V' (Copy-Paste) is arguably one of the most frequently used in the industry.

When a project deliverable predominantly consists of such repetitive tasks, it becomes essential to ask the following question:

COULD AN OPTIMIZER DO THE JOB?

If you're not sure how to research the viability of an optimizeras a solution, Feel free to reach out to Basesite

Case Study

Challenge:

The electrical design team at Basesite faced a recurring challenge: the need to assign and analyze loads for over 7,000 power connections. With the project scope undergoing frequent changes, the team found themselves repeatedly engaged in the time-consuming tasks of assignment and analysis.

Solution:

In response to this challenge, Basesite's data science team conducted a thorough review of the work scope. Based on their analysis, they recommended the implementation of a minimum cost optimization algorithm. This strategic approach was chosen for its efficiency and effectiveness in handling complex data sets and variable requirements.

Outcome:

Since the adoption of the optimization solution, there has been a dramatic improvement in efficiency. Tasks that previously took up to 6 weeks can now be completed in just 30 minutes. This significant time reduction has freed the electrical design team to focus more on critical aspects of engineering analysis. As a result, our team can now deliver higher quality work with greater speed, contributing to overall project success and client satisfaction.

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