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There are many hidden practical efficiencies that can go unnoticed when designing an engineering project. From software to construction, all projects require specific tools for greater optimisation, and ignoring this can lead to delays and lost money. However, from using AI as a co-pilot to advanced project management methods, here are some you can consider.
Choosing the Right Partners
Before work even begins, it is critical that you research the right partners and services to work with. From logistics to on-the-ground workers, everything must be the best the budget allows, and all must have a sterling reputation in their respective fields. Imagine using the cheapest instead of the best diamond drilling services around. With such high stakes during engineering projects, there are some things that you should never cut corners with.
AI as a Valuable Assistant
AI is a valuable tool for many reasons. Not only can AI analyse vast amounts of data, but it can also help speed up generation times, from efficient code to blueprint development. However, AI is so powerful and versatile today that it can even spot safety issues, such as the in-car phantom breaking flaw, with Tesla’s self-driving Model 3/Y. However, even with something as complex as materials, AI tools have improved efficiencies with lighter and stronger designs.
Hidden Practical Efficiencies through CI/CD
Software is now a vital part of the backbone of any modern project, and around 60% of developers use the Continuous Integration and Continuous Delivery/Deployment (CI/CD) method to streamline operations. Of course, automation is a massive advantage too, and selecting a test automation tool also means ensuring it fits into the CI/CD pipeline. As a result, test times are reduced, code is more efficiently managed, and dev times are shortened.
Advanced Project Management
There are many project management methods that companies use when developing projects, and some are better suited to specific projects than others. It is also rare that developers stick to one methodology, and it is common for some to be merged based on requirements and constraints. For a more efficient project, a top-down overview isn’t always enough. Today, developers also focus on tasks that can be broken down with a continuous improvement loop.
A Central Source of Data
Data is at the heart of modern projects, and the use of data can boost efficiencies by a staggering amount. Of course, it isn’t about how much data you have, but the quality of data and how you apply it. Building Information Modelling is a perfect example of using data in a creative and valuable way, where data from various models is merged from a central point. Data refactoring on a regular basis can also prevent an accumulation of work that slows progression.
Summary
Working with the right partners is the critical first step to using hidden practical efficiencies that can boost your next project. Of course, frameworks like CI/CD can streamline a continuous project, which might also rely on accessing data from a central source for BIM and QA.
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