The unique AIMMS-based design optimization tool COMPACT leads to better designs in less time.

Business Description & Background
Products today are more and more often designed on the computer using Computer Aided Design (CAD) tools for product modeling and Computer Aided Engineering (CAE) tools for product simulation. Although much faster than real prototyping, CAE simulations are still very time-consuming. Due to freedom in design, there usually are an astronomical number of alternatives.

What’s more, products have to meet many, possibly conflicting design requirements originating from diverse engineering disciplines. As a designer you want to make the right design choices based on facts, while maintaining the balance between quality and development time. The unique design-optimization tool COMPACT leads to better designs in less time.

The COMPACT approach has been successfully applied in various markets including automotive, ship-building, and consumer electronics.

The Challenge
When time consuming simulation models are involved, the challenge is to effectively use the tight simulation budget to explore the design-space. This becomes even more challenging when several conflicting objectives and constraints, often originating from multiple disciplines, are present. In this context, getting insight in the relations between adjustable parameters and the quality of the design is just as important as finding the optimum.

The Solution
cqm_aimms_compactCQM developed a uniquely structured way-of-working for design space exploration. The way-of-working is implemented in the software COMPACT, which helps the engineer in four steps. In short, the steps are:

Compact modeling: COMPACT creates a model for each quality characteristic that approximates the simulation tool output for any new setting of the design parameters. These so-called compact models can be evaluated very quickly.
Analysis and mathematical optimization: by substituting the compact models in the optimization problem, the design optimization problem can be solved. Furthermore, various 2D and 3D graphs give insight into relations between quality characteristics and design parameters.

The Benefits
Using COMPACT means:

How did AIMMS Add Value?
Important part of COMPACT is optimization with compact models. Our experience is, that quality characteristics may be quite non-linear and integer design parameters are not uncommon. That’s why professional NLP and MINLP solvers are a necessity. Therefore, COMPACT has been implemented in AIMMS, in which a number of state-of-the-art solvers are already available. Another important added value of AIMMS is its Graphical User Interface, which enabled CQM to make COMPACT easily accessible for users with varying backgrounds.

About CQM
The consultancy firm CQM was founded in 1979 and provide a service to industry, the government, and research establishments. Its high-quality knowledge of quantitative modeling enables it to operate in the following areas:

Research & Development
Supply chain modeling
Transport and distribution
Traffic and public transportation
Financial services

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Contact: Erwin Stinstra, CQM
CQM Website