Axiomatic Design Workshop

Prof. Christopher A. Brown

Prof. Christopher A. Brown

Mechanical Engineering Department, Worcester Polytechnic Institute

Prof. Brown earned his PhD in 1983, writing a dissertation on machining at the University of Vermont. There he also learned about Axiomatic Design (AD) during a visit from Nam Suh. Chris worked in materials at Lausanne’s Swiss Federal Institute of Technology. He used AD at Atlas Copco’s European research center before joining the Mechanical Engineering faculty at WPI in 1989, where he started teaching AD in 1990. Chris has published over a hundred and fifty papers on AD, manufacturing, surface metrology, and sports engineering. He has patents with many of his students on characterizing surface roughness, friction testing, and sports equipment. He has developed algorithms and software for topographic analyses that are used that are used worldwide in science and engineering research. At WPI he teaches courses on AD of manufacturing processes, surface metrology, manufacturing, and technology of alpine skiing. He gives tutorials, and short courses at conferences and for industry around the world on AD and on surface metrology. He also develops products for reducing sports injuries

The objective of this tutorial is to provide a working knowledge of axiomatic design (AD), a powerful design tool that can foster creativity and innovations. Suh’s AD is a scientific design method, developed at MIT in the 1970s. It shows how creativity can be directed most effectively in the design process. The AD process guides formulation of functional requirements from customer and stakeholder needs. AD can avoid bias, identify the best solutions, and protect intellectual property by coming up with multiple solutions. Suh’s design axioms are, one, to maintain the independence of the functional elements, and, two, to minimize the information content, i.e., to maximize the probability of success. These axioms can be used to select the best design options and to allocate resources for best effect early in the design process. AD also records how design decisions are made. AD can be used to guide and evaluate design review meetings. With AD, when changes are introduced during the design process, the impact on time is minimized and unintended consequences are avoided. AD relies on parallel, rule-based decomposition hierarchies from abstract to specific in functional, physical and process domains. This is followed by physical integration into a complete design. Attendees can have design problems in mind. There may be opportunities to develop them during the tutorial.

Wildlife Surveillance 

Prof. Stephan Kallweit

Prof. Stephan Kallweit

Mobile Autonomous Systems & Cognitive Robotics Institute (MASCOR) FH Aachen, University of Applied Sciences Dpt. of Mechanical Engineering and Mechatronics

Prof. Stephan Kallweit is a Professor at the University of Applied Sciences Aachen for Automation Technology and Robotics, Department of Mechanical Engineering and Mechatronics, Founder Member of the Institute for Mobile Autonomous Systems and Cognitive Robotics (MASCOR) at FH Aachen, Founder Member of IaAM (Institute for Applied Automation and Mechatronics), FH Aachen. In 1991 he was a Project Engineer at Gier&Partner Industrieanlagen GmbH and later became a Managing Director of ILA GmbH Jülich, Head of Technical Development and Sales for Laser Optical Flow Measurement Tech-niques (LDV, PIV and LiF) in 1995. His research interests are Robotics, Digital image processing and Measuring Techniques this includes Autonomous Mobile Systems, UAV Technology, Robot based Assembly, Humanoid Robotics, Collaborating Systems, Maintenance Robots for Wind Turbines, 3D-Reconstruction, Stereo-Vision, Correlation based Processing, High-Power-LEDs, Tracking Systems, Structured Light, Neural Networks, LIDAR, Laser Doppler and Particle Image Velocimetry. He also participated in Robotics Competitions and became a Finalist at MBZIRC 2017 and 2020, Participant of Grand Challenge 2017 and 2020

Wildlife Surveillance Competition

With worldwide trade in illegal ivory and fur booming, many species of elephant, rhinos and bigger predators are closer than ever to extinction. Emerging Industry 4.0 technologies can help authorities take on the fight against poachers and illegal hunting in wildlife designated areas. This event will look into how emerging technologies can assist in wildlife surveillance. The 30th CIRP design conference 2020 will provide its participants with an experience of using their inventions to monitor wildlife at the Kruger National Park in South Africa.


Think Big Think Bold Ideas

Wildlife Surveillance Competition

This competition is open to all bachelor degree students around the world who are currently enrolled in engineering program. The students are invited to use their imaginations to come up with an innovative wildlife surveillance device that will be used in National Parks to increase the chances of saving endangered wildlife species. The competition requires a group of students to display the prototype and also present slides on their proposed solution.

Due to the COVID-19 outbreak, students will now only get an opportunity to present their innovation to international delegates and the review panel via videoconferencing.

All registered teams are requested to record a 5 minute video showcasing their innovation and send the video to before 05 May 2020.

Poster presentation and video submission deadline: 04 May 2020

Plan A Simulation Game

The simulated serious game is a platform to break the ice in having conversations about the fourth industrial revolution and the digitised world of work. The game helps leaders to explore elements of change management, insights of combinations of enablers for organisations to arrive at their goals while simulating the realities of the changes in the business environment while at the same time allowing company employees to engage about ideas to take the organisation to better competiveness. The simulated business environment aims to improve employee satisfaction, growth and sustainability among other indicators. Active learning formats are perfect for dealing with complex topics with many influencing factors and dependencies. A minimum of two companies compete with each other with a minimum of 8 to 16 employees per company. The game can be played over several days with days depending on the level of emersion the players are willing to experience.

Due to the COVID-19 outbreak, the game cannot be played. For more information on the game please email