Open Access. Powered by Scholars. Published by Universities.®

Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

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 Oct 2003

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 Jul 2003

A System Dynamics Model Of The Pacific Coast Rockfish Fishery, Wayne Wakeland, Olgay Cangur, Guillermo Rueda, Astrid Scholz

Systems Science 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 …