The world of manufacturing has experienced great transformations over the past years and this, in part thanks to the emergence of new technologies. In 2017, the manufacturing sector has not been spared by this development and had to juggle with many challenges due to economic growth and an increase in demand in several sectors.
With these new demands for smart and connected products, industries must adapt and, above all, integrate this change. They can now benefit from true closed-loop product lifecycle management.
Predictive engineering analysis makes it possible to design a digital clone of the complete product that reflects reality and the environment in which it will evolve. Manufacturers in the automotive, aerospace, marine or other industries must reinvent the way they design to meet customer expectations in terms of costs and deadlines.
For those who are familiar with conventional product and machine design methods, you or your engineering team convert a 3D virtual model of your product into a series of 2D drawings that are used to assess the production costs and/or transfer vital information for the quality of the parts produced.
Success in the manufacturing industry in recent years is contingent upon two critical factors: agility and quick reaction time. Embodying these traits is essential for appropriately responding to the rapidly changing market environment and maintaining an edge over the competition.
In the past decade, businesses and consumers have experienced an accelerated transition from analog to digital technologies.
This evolution has contributed to the growth of the Internet of Things in a way that devices can now interact with each other and with humans.
From a general perspective, systems engineering revolve around products design, materials, and manufacturing processes.
Manufacturing companies are already facing global competition, and have to put forward significant efforts to limit this pressure and stay in the leading edge of product development. New proposals need to have high perceived value and quality, and production needs to be completed as cost efficient as possible.
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