Artificial intelligence, more specifically Industrial A.I., is ushering in a revolution for the manufacturing industry. The internet of things, virtual reality, machine learning, automation, smart sensors and artificial intelligence algorithms are poised to transform manufacturing. Most manufacturers are likely to adapt and initiate tectonic changes in 2019.
The ramifications are not going to be limited to the actual process of manufacturing. Designers and engineers are already using artificial intelligence for everything from conceptualization, programming, designing and testing.
Generative design is slowly becoming the norm for many industries. Original equipment manufacturers are looking beyond operational efficiency with the help of artificial intelligence. A holistic apparatus is enabling such manufacturers to ensure compliance.
There are far-reaching implications of artificial intelligence and the changes will have a direct impact on the financial realities of manufacturers.
Manufacturing Industry is Safer with Artificial Intelligence
Injury at workplace is a common risk for most manufacturers. Even those who have largely automated assembly lines or the core manufacturing apparatus is impeccably safe and has no active intervention by humans, the facilities do have some hazards and most companies have stringent regulations to avert mishaps.
Artificial intelligence can make operations or factory floors safer. Smart sensors, real time assessment of environmental data, preventing major malfunctions and ensuring no machinery or appliance operates at any level that risks the safety of the entire setup including the people present are much more reliable than supervisory control.
Artificial intelligence itself is improving by leaps and bounds. Its evolution is going to further strengthen the safety measures in place at most manufacturing facilities with advanced JD Edwards services.
Artificial Intelligence will Power Unprecedented Changes in Manufacturing
Manufacturing will become safer, more efficient and smarter in 2019 with the help of industrial A.I. Experts are calling it Industry 4.0, which is basically the revolutionary transformation manufacturing is undergoing at the moment.
The internet of things has enabled facilities to have almost everything hooked to a centralized or decentralized system. Anyone authorized by the company and having access to the system, which is easy, can actively monitor nearly everything that matters.
Nothing is left to chance. This proactive assessment of every major and minor operation including infrastructural elements makes manufacturing facilities holistically supervised and managed.
Perhaps the most benefited parties with the advent of artificial intelligence are middle management. Supervisors and managers are having a much more efficient system to work with.
Manufacturers are going to mitigate the losses that are inevitably incurred during the entire production cycle due to a plethora of reasons.
Downtime is for instance a common issue and in many cases unavoidable. Most manufacturers factor in possible downtimes in their planning and come up with budgets accordingly. These are not really deemed as losses but as costs that the manufacturer has to bear. Downtimes can be averted and there are huge savings for manufacturers.
Experts estimate that more than half of the fifty billion dollars that are lost in downtimes for the entire manufacturing industry every year can be effectively saved by preempting problems and scheduling maintenance accordingly or with emergency interventions.
There was a time when software transformed manufacturing by taking control of crucial operations. Precision or accuracy, efficiency and reliability of software driven systems had brought about the previous revolution.
However, typical software does not keep learning and it still requires an upgrade. Artificial intelligence makes use of algorithms that can take into account new data and adapt accordingly.
While such state of the art algorithms will not be deployed across the manufacturing spectrum by the end of 2019, many companies will invest in such software and they will stand to gain immensely.
Even if adapting and self improving software do not find their way to every manufacturing facility, there will still be smart sensors with real time detection, assessment and remedial recourse that will make whole operations more reliable, efficiency and effective.
The precision with which smart sensors can work is better than any other prevailing method of diagnosis. Sensors are becoming the default approach to diagnostics for most manufacturers.
Manufacturing shall be Truly Autonomous in 2019
Artificial intelligence or industrial A.I. is not confined to just big data or machine learning, the internet of things or robotics. The manufacturing industry has been adapting gradually and only some elements of artificial intelligence have been explored by most companies.
2019 will be the year when most aspects of artificial intelligence will be actually implemented on the ground and the organizations will reap the rewards.
Artificial intelligence is as much about big data as it is about using small data for more specific analysis. The internet of things is not about connectivity or seamless operations but also about humans collaborating with robotics.
Nearly one and a half million robots are already deployed on the floors of factories around the world. More will be rolled out this year and there will be greater collaboration with the workforce.
Self learning and improving systems will finally get their rightful place in the manufacturing industry. This alone will lead to autonomous manufacturing. While manufacturing has been automated in most parts of the world, the level of autonomy varies.
Automation and autonomy are broadly different realities. Artificial intelligence will not completely do away with human interventions but the influence will be limited, to as little as possible and deemed to be necessary.
Efficiency, Quality and Improvement of Manufacturing using Industrial A.I.
Manufacturing will become more efficient with industrial artificial intelligence. Quality control or ensuring that only flawless products are created is becoming simpler with self learning programs. Manufacturing will also improve owing to the insightful analyses provided through the deployment of artificial intelligence.
Assessments including diagnosis and prognosis of quintessential elements in a setup that were hitherto impossible shall become a reality this year. Companies will not speculate and they will stop responding after a crisis has already happened.
As artificial intelligence improves and becomes even more multipurpose, manufacturing will also undergo tectonic transformations and there is not even one aspect of such changes that is even remotely unnecessary or redundant.