A Modeling Language Package for Solving Data Envelopment Analysis Problems

• Main Authors: Chung, Yueh-Shan, 鍾岳杉
• Other Authors: Chen, Wen-Chih
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/9w75g7

碩士 === 國立交通大學 === 工業工程與管理系所 === 104 === Data envelopment analysis (DEA) determines the relative performance of an organization by comparing to its peers, and can consider multiple inputs/outputs simultaneously without prespecified weights. Implementing DEA requires formulating and solving many linear programs (LPs), and can becomes obstacles to empirical researchers from different application domains. This thesis develops a computational tool for DEA computation, it is based on an algebraic modeling languages for mathematical programming that is easy to learn and flexible for variant models and analyses. While taking the advantage of flexibility and powerful solvers from a modeling language, this package can solve larger-scale DEA problems without limitation on constraints and variables, and with better computational performance.