Self Engineering

Shuichi Fukuda is, in a word, a MR, Multidisciplinary Researcher. He received Dr. of Engineering in mechanical engineering from University of Tokyo (UT) in 1972. His doctoral thesis is "Fatigue Crack Propagation under Random Loading. He developed a fatigue testing machine for vehicles under random loading. So, his research is associated with dynamics, strength of materials and reliability. And the application includes all kinds of vehicles, not only automobiles. Then, he worked at Department of Precision Machinery, UT as a research assistant and studied Finite Element Analysis, especially Nonlinear Analysis. But he continued Reliability Research and he developed Reliability-based FEM. He moved to Welding Research Institute, Osaka University, where he was engaged in Intelligent Production. Thus, he not only studied welding, but also all manufacturing processes, toward more intelligent integration. During these years, he worked concurrently with Robotics Institute, Carnegie Mellon University (CMU) and he engaged in DARPA' initiative in Concurrent Engineering at West Virginia University (WVU). As welding is used in many different fields, he worked together with engineers in such fields as civil, shipbuilding, air, nuclear, automotive, NDI, etc. Before he moved to Tokyo Metropolitan Institute of Technology (TMIT) as full professor in Systems Engineering, he worked at the Institute of Industrial Science, UT concurrently as associate professor in pursuit of making industry more resiliently intelligent. At TMIT, he first worked in department of management. Then, he worked at department of information, production and systems engineering. He served dean of engineering, dean of library and information systems and concurrently 1st director of Tokyo Metropolitan Government for Industry-Academia-Government Collaboration Center. He also worked concurrently at Concurrent Engineering Research Center, WVU, Welding Research Institute, Osaka University, Design Engineering, Open University of Japan, and Department of Management, Cranfield University, UK and Learning Laboratory, Stanford University, as visiting professor.

Introduction.- Closed World and Open World.- Individual-product based engineering.- Quantitative value evaluation.- Frequent and extensive changes in environments and situation.- Changing changes.- Diversified and personalized expectations.- Team-product based engineering.- Increasing importance of adaptability.- From product value to process value.- Psychological approach.- Emerging value: Satisfaction.- How we can satisfy our customers.- Summary.