Technology has changed the game when it comes to operational efficiency. The digital revolution has equipped many companies with the ability to step up their game and streamline their operations in a whole new way. The likes of Machine Learning (ML) and Artificial Intelligence (AI) are just some examples of this, indicating what could be to come, albeit with controversial avenues that could be taken.
But when used considerately in the workplace, technology can improve data collection and analysis, plus overall efficiency as a result of getting better insights both internally and across given industries.
Supply chain management
Supply chain management can be approached with more precision and control, thanks to technology. The ability to digitally track a company’s inventory has removed the need for manual tasks to be taken care of, therefore freeing up a large proportion of the working day.
Digital systems can also help operational teams improve efficiency by spotting lags in the workflow when tracking progress. From shipment tracking to transport management systems (TMS), and digital payments to data analytics, there are several areas that have benefited from digitisation.
Manufacturing and prototyping
When it comes to manufacturing industries, technology has played a huge part. Technologies such as PCB software can be used to accurately perform essential processes such as Design-Rule-Checking and more. From industrial robotics to cyber-physical systems, technology can be used to improve workflow and prevent humans from having to handle more technically tricky or physically demanding jobs on a factory floor. Quality control can also be monitored more closely, allowing factories to meet certain criteria more accurately.
Automation
In a nutshell, automation helps to remove the need for manually inputting data. Even better, it allows you to set up signals that can trigger alerts or flags. Automation can also help remove human error and of course, save significant amounts of time during the working day, opening up the possibility of other, more innovative projects to help the company. In some scenarios, waste can also be reduced, which again can open up new avenues and help with overall efficiency.
Data Analysis
Data processing and analysis is key to the smooth running of operations within a business and applications can retrieve data and integrate it into a given piece of software. And technology can open up so many doors in this area. The right software can be used to manipulate data into a consistent format that works best for a given context. This way operations managers can draw on consistently formatted numbers and make decisions based on findings.
Process streamlining
Ultimately, the goal of operations is to streamline processes in order to improve general output, such as revenue and profit. This helps with overall productivity in a business. Benchmarks, targets and KPIs can be used as a basis to measure success in this field.
It’s fair to say that, technology has been crucial to increased productivity and profitability over the past few decades. But it won’t stop there. Everyday, technology is being crafted and nurtured, with the potential of being used in operations one way or another.
 and Artificial Intelligence (AI) are just some examples of this, indicating what could be to come, albeit with controversial avenues that could be taken.){kind=link}