Posted by Indusa Admin on May 25, 2016 1:19 pm
As new innovations come into play, manufacturing has continually reinvented itself in order to stay up to date with the latest trends and technologies. These advances have enabled manufacturers to be smarter, faster, and more efficient – however, it is easy to fall behind your competition in this rapidly changing landscape. Oftentimes, technology advances faster than businesses can adapt, leaving many manufacturers scrambling to find the best solutions for their individual business needs before they fall too far behind their competition.
Here are five technology trends that are changing the way manufacturers think and operate:
- Cloud Computing
Cloud platforms allow manufacturers to operate with agility and precision while significantly decreasing the strain on their IT infrastructure. In his recent article, “How Cloud Computing Platforms Are Becoming A Catalyst of Global Manufacturing Growth”, Louis Columbus speaks to the benefits of cloud applications in the manufacturing industry. He discusses that by replacing legacy applications with software that is modernized with cloud-based applications, manufacturers are enabled to perform complex operations at a fraction of the cost.
- 3D Printing
3D printing is taking over the world, from recreating Rembrandt to making comfier shoes, more and more businesses are turning to 3D printing in order to achieve their goals. Manufacturers especially benefit from 3D printing.Low volume orders, which previously could be extraordinarily costly if a new mold needed to be created, are becoming easier and cheaper for manufacturers, thanks to 3D printing.
- Big Data and Analytics
Big data is another buzzword that has businesses extremely excited. While the potential for untapped data is nearly limitless, manufacturers oftentimes find themselves struggling with how to best harness all that data.By using these methods manufacturers can improve order accuracy, shipment and cycle time performance, and production quality – making their overall decision making process faster and more effective.
- The Internet of Things
While analytics are obviously important to manufacturers, one has to ask just how they’ll collect all that data. The answer comes in the form of the Internet of Things (IoT).According to his research, IoT adopting businesses are transforming their business models in order to become more service centric organizations. They move away from traditional “one-time product transactions” in order to move towards “product-as-a-service relationships”. Ultimately the symbiotic relationship between IoT, data, and manufacturing will propel organizations to new heights – leading them to better customer service, increased efficiency, and raising their overall profits.
- Machine Learning
Hand in hand with IoT and big data comes machine learning. While data analysts are indispensable to any organization embracing big data, there is an undeniable truth that artificial intelligence is much better at recognizing and analyzing patterns than the human eye.
Are you currently using any of these technologies? Do you have a plan for implementing them in the future? Do you feel like your technology is falling behind that of your competitors? While creating a strategy for implementation can be tricky, it’s important not to put it off for too long. There are numerous “early adopters” in the world of manufacturing that are looking to gain the competitive edge by using any means necessary, including the use of the technologies we mentioned throughout this article. In order to stay truly competitive in today’s rapidly changing industry, manufacturers must be willing to adapt and innovate their processes in a timely fashion – otherwise they run the risk of becoming obsolete.Do you want to revamp your core technolgies and software? Contact us today for a free consultation.
|Additionally, in another article penned by Columbus, he testifies that cloud-based applications are better suited for integration, leading to enhanced capabilities across the entire organization. When paired with a business intelligence solution, cloud-based platforms are capable of transforming data into actionable insights for manufacturers. A significant number of manufacturers have already found themselves transforming business processes towards a cloud-based approach, and this trend is sure to continue growing during the coming year.|
|Rick Smith, an entrepreneur and expert in 3D printing, discusses how it benefits manufacturers in his recent article “7 Ways 3D Printing Is Already Disrupting Global Manufacturing”. From prototyping to customization, 3D printing is allowing manufacturers to create more cost effective solutions to long time problems. Smith asserts that manufacturers no longer have to stockpile parts in anticipation of future demand, they can simply keep blueprints for the designs and print them as the need arises.|
|Once a proper strategy for analysis is in place however, the benefits become abundantly clear.Louis Columbus again discusses the benefits for manufacturers. In a recent article, “10 Ways Analytics Are Accelerating Digital Manufacturing”, Columbus talks about how using predictive analysis in order to forecast demand and better schedule production is by far the greatest asset to manufacturers. While 3D printing is reducing the costs of certain tasks, it is still preferable to not waste money creating a surplus of product, or scrambling to create more when a shortage occurs.|
|By having a myriad of connected devices, sensors, and applications, manufacturers will be perfectly positioned to harvest large amounts of data and turn it into actionable insights. Eventually, IoT will completely transform how manufacturers operate. Gil Press analyzes data in his recent article “Internet Of Things Predictions From Forrester, Machina Research, WEF, Gartner, IDC” in order to shed light on IoT trends.|
|According to Ken Briodagh in “Machine Learning Systems Set to Invade Manufacturing Sector”, there are numerous benefits to machine learning in manufacturing; “After data is captured and collated by smart systems throughout the manufacturing chain, it must be evaluated and value derived in the form of actionable intelligence.” By using the enhanced capabilities of smart machines, manufacturers will have better access to predictive analytics. The symbiotic relationship between IoT, big data, and machine learning, will propel manufacturing into a new industrial revolution as more and more companies begin adopting these new technologies.|
About the Author – Sarah Van Wambeke
Sarah is an avid writer and digital media enthusiast. Here at Indusa, she primarily focuses on content creation and social media management.