About Us
Technology Centered. Customer Focused.
About Red Cedar Technology
Red Cedar Technology was co-founded by Drs. Ron Averill and Erik Goodman.The development of our flagship product, HEEDS® MDO, represents the culmination of over twenty years of effort to improve upon the incremental advances enabled by traditional engineering software, such as CAD/CAM and CAE, in the areas of productivity, quality, cost reduction and compressed development cycles. Employing revolutionary design search strategies, HEEDS MDO removes the restrictions of conventional numerical search methods, yielding new design concepts that drive product improvement and competitive advantage. Using HEEDS software products, designers can overcome the limits of human intuition and even professional experience.
Red Cedar Technology is a privately held firm based in East Lansing, Michigan, with resellers throughout the world. We offer optimization services and software to our customers and clients based on our core values — unbridled innovation, uncompromising integrity, and quality in everything we do.
Modern Principles of Design Optimization
Our view of optimization is free of the constraints imposed by previous technology, because it is based on a set of new principles that allow a more natural flow of thought and effort. These eight principles are the foundation of everything we do in software development, consulting services and training at Red Cedar Technology:
About Red Cedar Technology
Red Cedar Technology was co-founded by Drs. Ron Averill and Erik Goodman.The development of our flagship product, HEEDS® MDO, represents the culmination of over twenty years of effort to improve upon the incremental advances enabled by traditional engineering software, such as CAD/CAM and CAE, in the areas of productivity, quality, cost reduction and compressed development cycles. Employing revolutionary design search strategies, HEEDS MDO removes the restrictions of conventional numerical search methods, yielding new design concepts that drive product improvement and competitive advantage. Using HEEDS software products, designers can overcome the limits of human intuition and even professional experience.
Red Cedar Technology is a privately held firm based in East Lansing, Michigan, with resellers throughout the world. We offer optimization services and software to our customers and clients based on our core values — unbridled innovation, uncompromising integrity, and quality in everything we do.
Modern Principles of Design Optimization
Our view of optimization is free of the constraints imposed by previous technology, because it is based on a set of new principles that allow a more natural flow of thought and effort. These eight principles are the foundation of everything we do in software development, consulting services and training at Red Cedar Technology:
Principle 1: Start with a good concept, not necessarily a good design.
Let the optimizer do the work of searching for good designs.
Principle 2: Optimize early and often.
Not just at the end of the design cycle or after all other means have been exhausted.
Principle 3: Define the design problem you need to solve.
Not the one that can be solved by a certain optimization strategy.
Principle 4: Optimize the system interactions.
Not the components.
Let the optimizer do the work of searching for good designs.
Principle 2: Optimize early and often.
Not just at the end of the design cycle or after all other means have been exhausted.
Principle 3: Define the design problem you need to solve.
Not the one that can be solved by a certain optimization strategy.
Principle 4: Optimize the system interactions.
Not the components.
Principle 5: Let the optimization algorithm figure out how to search the design space.
There's often no way to guess ahead of time which search method and tuning parameters will work best.
Principle 6: Don't perform optimization using models of your models.
Response surface or surrogate models often increase effort and error.
Principle 7: Be an engaged participant in the optimization search.
Leverage your knowledge and intuition during a collaborative search process.
Principle 8: Care about the sensitivities of your final design.
Not those of your initial guess, which often have no bearing on the final design.
There's often no way to guess ahead of time which search method and tuning parameters will work best.
Principle 6: Don't perform optimization using models of your models.
Response surface or surrogate models often increase effort and error.
Principle 7: Be an engaged participant in the optimization search.
Leverage your knowledge and intuition during a collaborative search process.
Principle 8: Care about the sensitivities of your final design.
Not those of your initial guess, which often have no bearing on the final design.
Red Cedar Technology | 4572 S. Hagadorn Road, Suite 3A | East Lansing, Michigan 48823 | Phone: 517.664.1137 | Fax: 517.664.1175
Copyright © 2012 Red Cedar Technology, Inc. All rights reserved.