Industry 4.0 may sound like something out of SimCity, but it’s actually one of the latest advances in manufacturing technology. Industry 4.0 brings together IT and automation devices to speed up processes while simplifying recordkeeping procedures.
Machine sensors – their memory and brain, in a sense – send data pre-filtered by digital platforms that create solutions without human involvement, before these solutions are then taken action on.
Real-time data gathering and analysis
Smart factory technology features real-time data analysis as a primary advantage. Machines collect pre-filtered information which then gets fed back into a central data platform – acting like the system’s brain – for further examination and use to enhance production processes.
With their ability to collect and analyze data, machines are also able to communicate across facilities regardless of their physical location or timezone, passing knowledge acquired by one machine directly on to another without human interference.
Reduce waste and ensure a seamless manufacturing process by using smart robot and vision technologies in manufacturing facilities, particularly biotech and electronics industries where fine details matter. Manufacturing CIOs should carefully consider how best to implement smart robot and vision technologies within their factories by identifying appropriate use cases and gradually introducing these capabilities gradually over time.
Integration with other systems
Many businesses still face many hurdles in adopting industry smart factory solutions fully. Finding technologies that work harmoniously together can be quite a daunting challenge when dealing with large amounts of data that must be processed real-time and processed instantly.
Integrative AI technologies possess the speed, power and flexibility needed to quickly gather, analyze and act upon this data – enabling automated systems and intelligent processes to be constantly optimized by artificial intelligence.
Predictive maintenance technology can significantly reduce unscheduled downtime during component manufacturing processes, helping maximize production capacity while keeping costs under control. By monitoring HVAC systems based on occupancy or outside weather conditions, energy efficiency is also enhanced significantly.
Adaptation to different deployment scenarios
Smart factories are quickly gaining in popularity as an efficient way to streamline and optimize manufacturing processes. These facilities use sensors and connected devices to monitor performance, track assets, and make real-time decisions in real time – creating an unprecedented degree of automation that increases productivity while decreasing environmental pollution levels and providing for rapid changes to production strategies.
Smart factory technology has many applications, from custom pharmaceutical drug production to improving circuit breaker manufacturing. Unfortunately, implementing such technologies requires considerable investments in infrastructure and technology – something which may prove challenging for smaller businesses with limited resources or those lacking sufficient funds for implementation. Furthermore, it could cause labor issues, including displace lower skilled workers.
Some technologies already used in traditional factories include digitalized equipment and barcode scanners, while more innovative tools, like digital twins – virtual representations of physical objects that allow designers and engineers to simulate and test different configurations and designs – have just recently made an impactful statement about manufacturing’s future.
Industry 4.0, also known as the fourth industrial revolution, is a novel technology designed to automate and streamline production processes. By blending advanced technology with human creativity and collaboration, this production method becomes more cost-effective, efficient and sustainable. However, cyber threats must be properly mitigated for to ensure its continued implementation. Security measures must also be created and put into practice against potential cyber attacks on these new systems.
One such threat involves physical reconfiguration of sensors within manufacturing information architecture using malware or viruses, primarily targeting computer-aided design (CAD) models before spreading throughout the entire system.
Trend Micro has identified software running on cloud networks as another threat, making them easy to access. According to Trend Micro, cloud-based software can serve as an attack vector that easily infiltrates engineering workstations before spreading further across an organization – resulting in significant financial impacts – an average company suffers an estimated loss of $330,000 for every cyberphysical incident that takes place.
Deepak Wadhwani has over 20 years experience in software/wireless technologies. He has worked with Fortune 500 companies including Intuit, ESRI, Qualcomm, Sprint, Verizon, Vodafone, Nortel, Microsoft and Oracle in over 60 countries. Deepak has worked on Internet marketing projects in San Diego, Los Angeles, Orange Country, Denver, Nashville, Kansas City, New York, San Francisco and Huntsville. Deepak has been a founder of technology Startups for one of the first Cityguides, yellow pages online and web based enterprise solutions. He is an internet marketing and technology expert & co-founder for a San Diego Internet marketing company.