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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 121 - 135 of 135
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Prediction Of Growth Factor Effects On Engineered Cartilage Composition Using Deterministic And Stochastic Modeling, Sean S. Kohles, Asit K. Saha, J. (Jagannath) Mazumdar
Prediction Of Growth Factor Effects On Engineered Cartilage Composition Using Deterministic And Stochastic Modeling, Sean S. Kohles, Asit K. Saha, J. (Jagannath) Mazumdar
Mechanical and Materials Engineering Faculty Publications and Presentations
In the design of engineered tissues, guided balance of biomaterial degeneration with tissue synthesis offers refined control of construct development. The objective of this study was to develop a mathematical model that describes the steady state metabolism of extracellular matrix molecules (ECM: glycosaminoglycan and collagen) in an engineered cartilage construct taking into account localized environmental changes that may arise because of the application of growth factors. The variable effects of growth factors were incorporated in the form of random noise rather than the difference in rates of synthesis and catabolism. Thus, the frequency of ECM accumulation for each matrix molecule …
Technology Forecasting Using Data Envelopment Analysis, Oliver Lane Inman
Technology Forecasting Using Data Envelopment Analysis, Oliver Lane Inman
Dissertations and Theses
The ability to anticipate future capabilities of technology products has broad implications for organizations. Technological forecasting allows management to improve resource allocation, make better staffing decisions, and more confidently plan facilities and capital expenditures. Technology forecasting may also identify potential new markets and opportunities, such as finding ways to exploit current technology beyond its originally intended purposes.
Modern technology forecasters use an array of forecasting methods to predict the future performance of a technology, such as time-series analysis, regression, stochastic methods, and simulation. These quantitative methods rely on the assumption that past behavior will continue. Shortcomings include their lack of …
Use Of Hierarchical Decision Modeling For Site Selection Of A Major League Baseball Stadium In Portland, Priya Ajgaonkar, Aroonrat Auysakul, Edward Cespedes, Ryan Jefferis, Seiji Shinriki
Use Of Hierarchical Decision Modeling For Site Selection Of A Major League Baseball Stadium In Portland, Priya Ajgaonkar, Aroonrat Auysakul, Edward Cespedes, Ryan Jefferis, Seiji Shinriki
Engineering and Technology Management Student Projects
This paper proposes a hierarchical decision model to select a site from various potential sites for a major league baseball stadium in Portland, Oregon. A short background on MLB in Portland, with all the related factors, is provided. Next this paper describes Hierarchical Decision Modeling using pair wise comparisons and the process of using this as a decision making tool. A detailed description of the HDM developed is then provided. This model includes determination of the number of levels of the HDM and their relationship with each other. It describes all the elements of each level and the process of …
A System Dynamics Model Of The Pacific Coast Rockfish Fishery, Wayne Wakeland, Olgay Cangur, Guillermo Rueda, Astrid Scholz
A System Dynamics Model Of The Pacific Coast Rockfish Fishery, Wayne Wakeland, Olgay Cangur, Guillermo Rueda, Astrid Scholz
Complex Systems Faculty Publications and Presentations
This paper presents a model of the dynamic behavior of the yellowtail rockfish of the Pacific Coast of the United States. The purpose of the model is to generate endogenously the historical data for fish population, fishing vessels, regulatory parameters, and fish harvest. The model was subjected to a variety of tests to determine its sensitivity to changes in key parameters and initial values, including extreme conditions. Model results indicate that acceptable biological catch and fleet capacity must be adjusted quickly in response to changing conditions, in order to improve fishery sustainability. Additional analysis reinforces the policy of setting the …
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 …
Freightliner Llc Manufacturing Optimization, Jerry Compton, Ryan Jefferis, Hasnah Mat-Amin, Felix Ngoussou
Freightliner Llc Manufacturing Optimization, Jerry Compton, Ryan Jefferis, Hasnah Mat-Amin, Felix Ngoussou
Engineering and Technology Management Student Projects
Freightliner LLC has been producing innovative products since 1942 for the trucking industry. Following a 1981 acquisition by Daimler-Benz AG, Freightliner has steadily gained market share through acquisition and fleet sales. Following record production in 1999 at maximum yield levels, year 2000 hit the heavy truck market especially hard. High diesel fuel prices, low used truck values, and a slowing economy were just a few reasons for reduced truck sales.
Through Ql of 2001, heavy vehicle production was down 54% compared to 2000 in attempts of lowering inventory amounts. In this new market, capacity is no longer the overall manufacturing …
Intelligent Safety And Driver Assistance Systems For Heavy Duty Trucks, Volkmar Gross, Ziad Keirouz
Intelligent Safety And Driver Assistance Systems For Heavy Duty Trucks, Volkmar Gross, Ziad Keirouz
Engineering and Technology Management Student Projects
Preface:
The number of commercial vehicles (trucks) on the U.S. Highways will continue to growth by an average annual ra!e of approximately 10% over the next 3 to 5 years. Along with the predicted increased movement of goods due to the ecommerce revolution, accidents (and death rates) involving commercial trucks are on the rise. In the following, we will investigate the future of Intelligent Safety and Driver Assistance Systems, designed to increase the overall safety of commercial vehicles, in the wake of augmented national and government interest in these technologies. We will concentrate on vehicle-based rather than infrastructure- based technologies. …
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 …
Global Optimization Studies On The 1-D Phase Problem, Martin Zwick, Byrne Elliot Lovell, Jim Marsh
Global Optimization Studies On The 1-D Phase Problem, Martin Zwick, Byrne Elliot Lovell, Jim Marsh
Complex Systems Faculty Publications and Presentations
The Genetic Algorithm (GA) and Simulated Annealing (SA), two techniques for global optimization, were applied to a reduced (simplified) form of the phase problem (RPP) in computational crystallography. Results were compared with those of "enhanced pair flipping" (EPF), a more elaborate problem-specific algorithm incorporating local and global searches. Not surprisingly, EPF did better than the GA or SA approaches, but the existence of GA and SA techniques more advanced than those used in this study suggest that these techniques still hold promise for phase problem applications. The RPP is, furthermore, an excellent test problem for such global optimization methods.
Tbd Team Report, Jay Hah, Ziad Keirouz, Indra Surataruna, Raid Obeidi, Hun Kye
Tbd Team Report, Jay Hah, Ziad Keirouz, Indra Surataruna, Raid Obeidi, Hun Kye
Engineering and Technology Management Student Projects
The project that team quintuple was assigned is the self-diagnosis or analysis of factors that impacted our team's performance throughout the course.
We were assigned a number of team tasks for the class that required interacting and discussing those tasks with other members, and of course performing those tasks. Those activities were the vehicles used by our team to access how well we had worked together. We noted our observations in individual journals to help us in analyzing factors at the end of the project life cycle. Several tracking tools were used in addition to journals, such as our weekly …
Variance And Uncertainty Measures Of Population Diversity Dynamics, Mark A. Bedau, Martin Zwick, Alan Bahm
Variance And Uncertainty Measures Of Population Diversity Dynamics, Mark A. Bedau, Martin Zwick, Alan Bahm
Complex Systems Faculty Publications and Presentations
We define variance and uncertainty measures of population diversity. Both measures have precise decompositions that we can exploit in analysis of evolutionary dynamics. We discuss how these measures are related and how they can be observed in artificial and natural evolving systems.
Improving Crystallographic Macromolecular Images: The Real-Space Approach, A. D. Podjarny, T. N. Bhat, Martin Zwick
Improving Crystallographic Macromolecular Images: The Real-Space Approach, A. D. Podjarny, T. N. Bhat, Martin Zwick
Complex Systems Faculty Publications and Presentations
Macromolecular crystallographicy is a unique tool for imaging the structures of proteins and nucleic acids. Images are obtained from the Fourier transform of the diffraction pattern of the crystal by use of X-ray, neutron, and / or electron scattering. When X-ray and neutron scattering are used only diffraction amplitudes are experimentally measured, and phases have to be obtained. Multiple isomorphous replacement (MIR) has been the technique of choice for solving this phase problem in the determination of most macromolecular structures. Unfortunately, the method is extremely time consuming, especially when compared with the solution techniques available for small molecules; moreover, structure …
Performance Theorems For The Resource Scheduling Functions Of A Multiprocessing System, George Arthur Nicol
Performance Theorems For The Resource Scheduling Functions Of A Multiprocessing System, George Arthur Nicol
Dissertations and Theses
In this dissertation, a multiprocess scheduling model is developed and a set of performance theorems is constructed for the set of scheduling functions associated with the model. Each theorem describes the conditions under which a scheduling function exhibits a particular type of performance.
An Automatic Rinse Tank Controller For Industrial Applications, Aliasghar Emami
An Automatic Rinse Tank Controller For Industrial Applications, Aliasghar Emami
Dissertations and Theses
This thesis describes an automatic Rinse Tank Control System used in detection and removal of contaminating agents from industrial plating rinse tanks. It automatically monitors the purity of the rinse water in sixteen separate rinse tanks, and permits fresh water to enter the tanks only when the conductivity of the rinse water in each tank exceeds a predetermined level. Its use will result in large savings in consumption of fresh water and the subsequent reduction in discharge of effluent to the treatment plants.
Systems Reliability Using The Flow Graph, Kenneth Edward Farrier
Systems Reliability Using The Flow Graph, Kenneth Edward Farrier
Dissertations and Theses
The problem of calculating the reliability of a complex system of interacting elements is delineated to a linear system, no element of the system having a reliability distribution in terms of any other e1ement of the system, where only one path is taken through the system at a time. A precise definition is then developed to specify the reliability of the linear, single path at a time, system. A precise and concise generating function is found that effortlessly produces the reliability of the linear, single path at a time, system directly from the reliability flew graph of the system.