Engineering Commons^™

Technology Forecasting Of Digital Single-Lens Reflex Camera Market: The Impact Of Segmentation In Tfdea, Byung Sung Yoon, Apisit Charoensupyanan, Nan Hu, Rachanida Koosawangsri, Mimie Abdulai, Xiaowen Wang

Engineering and Technology Management Faculty Publications and Presentations

With the advancement of digital image technology, the big change in the camera market is that digital single-lens reflex cameras (DSLRs) have replaced film type single-lens reflex cameras, which have seen very little development lately. This advancement is reflected in some core technologies of DSLRs such as digital image sensors and electronic shutter mechanisms, which have allowed taking photographs even in the toughest conditions. Therefore, as a disruptive technology, the developments in DSLR technologies are worthy of notice.

This paper utilizes technology forecast using data envelopment analysis (TFDEA), which is a quantitative forecasting method. In the study, we use input …

Incorporating Value Judgment In Technology Forecasting Using Data Envelopment Analysis, Dong-Joon Lim, Timothy R. Anderson

Engineering and Technology Management Faculty Publications and Presentations

Technology Forecasting using Data Envelopment Analysis (TFDEA) has been employed to a wide range of applications because of its ability to model complex tradeoffs. The very name indicates that it is based on Data Envelopment Analysis (DEA) which has strength that it doesn?t require fixed a priori weighting scheme. Instead, it adopts dynamic weighting scheme that each data point can choose their best possible weights. However, it is well known that this flexibility may result in extreme weights that may be considered unrealistic in certain applications and has been one subject of DEA researches. This paper extends the standard TFDEA …

Forecasting Microprocessor Technology In The Multicore Era Using Tfdea, Saranya Durairajan, Maria Ibarra Prado, Noshad Rahimi, Shabnam Razeghian Jahromi

Engineering and Technology Management Faculty Publications and Presentations

Technological advancements in the microprocessor industry are benchmarked and gauged against a set of diverse criteria, specific to the fabrication process, usage as well as achieved performance. Changing trends in the appeal factor as well as wide variety of growing application of microprocessors in different industries also have a defining impact in the advancement of the technological features in future. This study improves the previous investigation in forecasting microprocessors? technology and uses Technology Forecasting using Data Envelopment Analysis (TFDEA) methodology for an enhanced model. The study takes advantage of the recent microprocessor dataset including multi core processors, from a variety …