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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Technology Trajectory Mapping Using Data Envelopment Analysis: The Ex-Ante Use Of Disruptive Innovation Theory On Flat Panel Technologies, Dong-Joon Lim, Timothy R. Anderson
Technology Trajectory Mapping Using Data Envelopment Analysis: The Ex-Ante Use Of Disruptive Innovation Theory On Flat Panel Technologies, Dong-Joon Lim, Timothy R. Anderson
Engineering and Technology Management Faculty Publications and Presentations
In this paper, we propose a technology trajectory mapping approach using Data Envelopment Analysis (DEA) that scrutinizes technology progress patterns from multidimensional perspectives. Literature reviews on technology trajectory mappings have revealed that it is imperative to identify key performance measures that can represent different value propositions and then apply them to the investigation of technology systems in order to capture indications of the future disruption. The proposed approach provides a flexibility not only to take multiple characteristics of technology systems into account but also to deal with various tradeoffs among technology attributes by imposing weight restrictions in the DEA model. …
Financial Analysis And Comparison Of Compact Electric And Gasoline Cars, Jing Jiang, Alexander Blank, Felix Maier, Anjan Bharthepudi
Financial Analysis And Comparison Of Compact Electric And Gasoline Cars, Jing Jiang, Alexander Blank, Felix Maier, Anjan Bharthepudi
Engineering and Technology Management Faculty Publications and Presentations
In the paper, a PESTLE (political, economic, social, technical, legal, and environmental) analysis is used to conduct an initial evaluation for electric vehicles (EV) and gasoline cars. Furthermore, two cash flow models are created to describe the scenarios of both gasoline and electric car respectively. Based upon the proposed models, the equivalent uniform annual cost (EUAC) methodology is used to calculate the cost during the period of car ownership. Four compact EVs and five compact gasoline cars are selected in the analysis. The results expose that the actual return of federal tax credit impacts the EUAC value. The 50% return …
Multiple Objective Evolution Strategies Using Data Envelopment Analysis, James V. Lill, Timothy R. Anderson
Multiple Objective Evolution Strategies Using Data Envelopment Analysis, James V. Lill, Timothy R. Anderson
Engineering and Technology Management Faculty Publications and Presentations
Often in science and engineering we are faced with complicated nonlinear problems in optimization that involve simultaneously minimizing or maximizing various non-commensurate quantities. For example, a basic task in design engineering or technology management is to balance suitable measures of performance against the cost. We present a simplified approach for performing multiple objective optimization by combining standard single objective Evolution Strategies with Data Envelopment Analysis. This latter method employs linear programming to compute an L1 distance of a given solution from the Pareto frontier defined by the evolving population of solutions, or from a related frontier defined by DEA. This …
Improving Library Efficiency To Meet Patron's Needs: A Data Envelopment Analysis Benchmarking Model, Michael Clark
Improving Library Efficiency To Meet Patron's Needs: A Data Envelopment Analysis Benchmarking Model, Michael Clark
Engineering and Technology Management Faculty Publications and Presentations
Technological innovation and the information age have increased patrons’ expectations of the services and resources that academic libraries provide. Libraries are responding to patrons’ needs by providing digital resources and services, and collaborative spaces that invite communication and knowledge sharing. In order to effectively meet patrons’ needs, libraries are striving to efficiently manage their human, materials, and fiscal resources. Libraries have traditionally measured efficiency by developing single factor productivity indexes. However, these qualitative methods do not adequately address the efficiency aspect which measures the transformation of resources (inputs) into services (outputs). Data envelopment analysis (DEA) measures the relative efficiencies of …
Further Examination Of Moore's Law With Data Envelopment Analysis, Timothy R. Anderson, Rolf Färe, Shawna Grosskopf, Lane Inman, Xiaoyu Song
Further Examination Of Moore's Law With Data Envelopment Analysis, Timothy R. Anderson, Rolf Färe, Shawna Grosskopf, Lane Inman, Xiaoyu Song
Engineering and Technology Management Faculty Publications and Presentations
Although it has stood the test of time for over 30 years, Moore's Law addresses but a single aspect of microprocessor design. As a proxy for technology, the number of transistors in an integrated circuit represents a limited perspective on the technology as a whole. Anderson et al. proposed a set of metrics by which to measure a technology, and a means to measure its progress over time utilizing data envelopment analysis. In this revised model, the assumption of state of the art (SOA) on product release is dropped, technical progress is measured iteratively over time, the effective time elapsed …
Selecting The "Best" Using Data Envelopment Analysis, Timothy R. Anderson, Akin Uslu
Selecting The "Best" Using Data Envelopment Analysis, Timothy R. Anderson, Akin Uslu
Engineering and Technology Management Faculty Publications and Presentations
One of the most important strengths of Data Envelopment Analysis, (DEA), is that it allows almost complete freedom in the way that each decision making unit, (DMU), evaluates itself relative to its peers. This tends to result in many DMUs receiving a high efficiency score. Particularly when DEA is applied in a decision making context, it may be desirable to select a single option rather than determining the set of efficient alternatives in ranking efficient DMU or to Assist selecting a "best" DMU. Several extensions to DEA have been proposed and used. This paper examines, compares, and integrates a variety …