In the midst of an ongoing shortage of skilled workers, businesses across all sizes are facing substantial challenges — from minor concerns about a dwindling workforce to existential worries. It's becoming increasingly difficult for companies to attract new talent for mundane, physically demanding, or ergonomically unfavorable tasks. Moreover, as the workforce ages, these tasks become even more daunting. The solution to this predicament lies in automating these tasks. By doing so, companies can optimize their limited workforce for more value-added activities. However, this shift is not without its challenges.
Robots often get a bad rap for supposedly threatening jobs and making humans redundant. But let's set the record straight: successful automation isn't about replacing humans; it's about collaborating with them. The key is to extend and enhance human capabilities, freeing employees from monotonous and unfavorable tasks. Think about those repetitive, less-than-glamorous tasks that no one is too keen on. They're the prime candidates for automation. By automating these tasks, employees gain more time to focus on irreplaceable human skills, like creative problem-solving, applying learned knowledge, and developing new behaviors and strategies.
Take a moment to reflect on your daily routine. Automation is already a significant part of our lives, driving social and cultural progress in the past. Remember when washing clothes by hand was a laborious task? Fast forward to today, and the advent of washing machines has made that chore a distant memory. Similarly, just as the washing machine revolutionized household work, increased automation in factories is poised to do the same for the manufacturing landscape. By freeing workers from arduous tasks, automation empowers them to engage in more complex and rewarding endeavors, spurring personal and professional growth.
Yet, the challenges of automation go beyond perceptions. Programming industrial robots is often complex and time-consuming, requiring technical expertise not every company possesses. And here's the kicker: even with the right know-how, not every task that struggles to find human hands is easily automatable. Certain tasks, particularly those involving numerous variables and requiring human-level hand-eye coordination, can't be readily programmed into robots. This means that some of these unattractive tasks inevitably fall back to the already stretched workforce, creating dissatisfaction and potentially driving talent away — a vicious cycle.
The fusion of traditional robotics with intelligent software emerges as a solution to these challenges. AI-based control software streamlines and expedites robot deployment, even without the presence of automation specialists. Moreover, this approach widens the scope of tasks that can be automated compared to traditional programming methods. This revolution not only relieves human workers. It also democratizes robotics. Small- and medium-sized enterprises can now access and afford automation, bolstering their long-term survival against larger competitors and contributing to a diverse business landscape.
Automation and AI have their limits, which should be respected for the sake of both humanity and value creation. Automating for the sake of automation or solely aiming to replace humans is a futile endeavor. Instead, automation should create real value and become part of a cycle that alleviates humans, granting them more leisure or room for innovation and creativity.
If this value isn't realized, automation often falls short. Consider the automation of the food industry, which can lead to cheaper prices, streamlined processes, and increased profits, particularly in more developed countries. However, this shift could exacerbate the gap between richer and poorer nations, as the latter may lack access to advanced technology and necessary infrastructure. Such a situation might even prompt wealthier nations to bring their production back home, making automation a potential catalyst for further inequality.
Using MIRAI, we have solved a challenge we could not solve with standard automation technologies. Accuracy, and performance KPIs have been reached, imprving productivity and quality.
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