In this webinar, manufacturing industry analyst Jim Anderton will discuss these key issues about modern production equipment engineering. This webinar introduces system simulation principles and methodologies on how to increase machine efficiency and production.
The engineering of equipment for production applications is the most essential, yet least discussed component of part and assembly making. Traditional factory processes involve the ad hoc integration of machines, human operators and information to both links them together and form simple feedback systems that ultimately determine quality, productivity and value.
Modern technologies driven by advanced software are moving beyond the simple digitization of manual processes and have made production equipment generators of large quantities of data. While originally intended to monitor machine health and some aspects of machine performance, data quantity and transfer rates make this information stream a valuable commodity by itself. Production equipment must be engineered today not only to make physical objects, but to make sense of the process of making those objects. Engineering great machines and great processes starts in the design phase…and starts with the right tools.
All great designs start with questions. Great equipment starts with the right questions, specifically the clear definition of key performance parameters, many of which go beyond the basic physics of forming, machining, fabricating, welding or assembling. In this webinar, manufacturing industry analyst Jim Anderton will discuss these key issues about modern production equipment engineering:
- Nailing down the key parameters: asking the right questions to get the right answers before the design process starts
- Approaching the machine design process logically. There are multiple development possibilities for most production technologies. Which pathway is best?
- Thinking about production machines as systems. Modern equipment is a complex system and is also part of a larger more complex system on the line and in service. What are the trade-offs between cost, performance, complexity, reliability and maintainability?
- Managing risk. Modern engineering development tools have reduced or eliminated the slack in traditional product development timelines. How can designers ensure that their systems arrive on time and in spec?
This webinar also introduces system simulation principles and methodologies on how to increase machine efficiency and production. System simulation can help you assess machine performance at an early stage of the development cycle to find the best trade-off between all performance attributes including energy efficiency and manufacturing rate.
About the Speakers:
Jim Anderton – Director of Content, Multimedia – engineering.com. Mr. Anderton was formerly editor of Canadian Metalworking Magazine and has contributed to a wide range of print and on-line publications, including Design Engineering, Canadian Plastics, Service Station and Garage Management, Autovision, and the National Post. He also brings prior industry experience in quality and part design for a Tier One automotive supplier.
Lionel Broglia – Business Development Manager, System Simulation Activities – Siemens Digital Industries Software, covers ground transportation and industrial machineries sectors. He has a master’s degree in mechanical engineering and is involved in multi-domain system simulation since 1999.
To watch, please complete the form on this page. This webinar is sponsored by Siemens Digital Industries Software.
