Advanced machine engineering (AME) promotes the ability to thrive in a complicated and dynamic environment through a multi-view bill of materials (BOM) approach that consistently measures ongoing success.
Our experts, Bill Butcher, Senior marketing manager of Industrial Machinery and Heavy Equipment at Siemens, and Frans Adamowicz, Director for Industrial Machinery and Heavy Equipment Industry at Siemens, will provide more insight into this topic.
Transformational trends driving industrial machinery
Digital technology in the industrial industry sector is not merely changing how products are built and sold but how companies fundamentally operate. As part of this evolution, manufacturers must decide how to upgrade and manage thousands of pieces of machinery deployed, and increasingly connected, to deliver enormous volumes of data to be analyzed and understood.
In looking at the industrial machinery landscape, several transformational trends are marking a significant turning point in the machinery evolution to:
- respond to a market demand for more personalized products and customized services,
- design for expanding product mixes with more rapid and frequent changeovers, and
- answer the call to innovate quickly within a compressed delivery schedule.
For example, a simple package of potato chips that sits on a shelf has the potential for multiple variants with extreme complexity, including size, shape, packaging, box, recyclability and regional flexibility, to name a few. Also, industrial suppliers are quickly embracing smart machines via the internet of things (IoT) in their products, and machinery manufacturers are on a steep learning curve to take advantage of data generating into their machines.
This crucial aspect changes the landscape for electrical controls and automation engineers. Also, new insights are gained via automated production processes. This hyper-automation trend requires vast amounts of data and cloud-based analytics to learn how machine behavior and performance automates solutions.
It’s more than just adding sensors but also having the capabilities to analyze the explosion of complex data. Also, global competition is a crucial factor with more flexible, agile, start-up companies, that are based on machine learning and not burdened by existing business processes and legacy customer engagements.
Learn more about how innovation is changing the machinery industry.
Software meeting customer demands
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About our experts:
Bill Butcher – Senior marketing leader at Siemens Digital Industries Software, responsible for delivering strategic marketing content, including campaigns, go-to-Market messaging and inbound digital content, to communicate the value of offerings of the Siemens Digital Industries Software portfolio.
Frans Adamowicz – Solutions Consultant at Siemens Digital Industries Software, delivers key strategic initiatives solutions and global business development, with a 33-year career in providing software-based solutions for product engineering and manufacturing innovation. He has held leadership positions in multiple functional areas, including sales and services management, country and industry marketing management.