Strategic Optimal Design of Machine Processing With Reverse Engineering
Akira Ogawa, Doctoral Program, Business Administration, Mejiro University Graduate School Takenori Takahashi, Professor, Business Administration, Mejiro University Graduate School (Co-Author)
When developing a system or product, the difference between the completed system or product and the design specifications should be minimized. This is the typical engineering process attitude. On the other hand, in recent years, attempts have been made to achieve design concepts from the knowledge gained by measuring targets. When measurement results deviate from design specifications, this can have value as a way to obtain useful information, rather than being perceived as a major problem. This is one of the characteristics of reverse engineering, the attitude that measured data can be a starting point. For example, when perforating glass in machine processing, the processing is often evaluated based on the roundness of the perforations; however, it could also be evaluated using a separate index based on the results of the analyzed data, e.g., by defining the polar coordinates of an elliptical shape. When establishing an information processing system, a reverse engineering method is utilized in which important information is retrieved through analysis of the current system and then the information is reflected in the design of the next system. Conventionally, individuals could not perform this type of data analysis; however, thanks to improvements in measuring devices and calculators and advances in analysis programs, researchers and analysts can now analyze in a free-thinking manner to aim for optimal design. In this lecture, I will review the possibility of strategic, optimal design using JMP in light of the current conditions of reverse engineering and statistical data analysis in machine processing. I would also like to discuss the Internet of Things and future issues with participants.