Document Type
Closed Project
Publication Date
Fall 2012
Instructor
Timothy Anderson
Course Title
Operations Research
Course Number
ETM 540/640
Subjects
Microprocessors, Technology -- Management, Technological forecasting, Data envelopment analysis
Abstract
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. The changing trends in the appeal factor as well as wide variety of growing application of microprocessors in different industries can have a defining impact in the advancement of the technological features in future. This study is built on previous investigations in forecasting microprocessors’ technology and uses Technology Forecasting using Data Envelopment Analysis (TFDEA) methodology. It incorporates multiple variables that are affecting microprocessors’ future industry based on market priorities and customer’s specification preferences and aims at forecasting future microprocessor technology trends. The research uses the dataset collected by Stanford University, which holds a rich collection of microprocessor specifications from 17 factories for the past four decades, and is more recent compared to the dataset used in the former research. The result is a rate of change (RoC) that is based on much more recent dataset including the new generation of microprocessors (i.e. multi cores) and can be used to forecast the future microprocessor technology trends.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/21783
Citation Details
Durairajan, Saranya; Ibarra, Maria M.; Jahromi, Shabnam Razeghian; Javadi, Kayvan; Rahimi, Noshad; and Saatchi, Bahareh, "Microprocessor Technology Forecasting using TFDEA" (2012). Engineering and Technology Management Student Projects. 369.
http://archives.pdx.edu/ds/psu/21783
Comments
This project is only available to students, staff, and faculty of Portland State University