Modeling Undesirable Outputs in Data Envelopment Analysis: Various Approaches

Simple item page
dc.contributor.authorPasupathy, Kalyan Sunderen
dc.contributor.committeechairTriantis, Konstantinos P.en
dc.contributor.committeememberKoelling, C. Patricken
dc.contributor.committeememberHoopes, Barbara J.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-03-14T20:32:08Zen
dc.date.adate2002-03-26en
dc.date.available2014-03-14T20:32:08Zen
dc.date.issued2002-02-19en
dc.date.rdate2005-04-22en
dc.date.sdate2002-02-24en
dc.description.abstractThe general practice in performance and production efficiency measurement has been to ignore additional products of most transformation processes that can be classified as "undesirable outputs" — which are a subset of the output set. Without the inclusion of these factors, the efficiency evaluation becomes a purely technical measure of the system alone, and does not account for the interaction of the system with the surrounding environment and the impact of policy decisions on the system. In addition, there are also technological dependencies arising due to the relationships between the desirable and the undesirable outputs. One of the analytical tools normally used in efficiency evaluation is Data Envelopment Analysis, DEA. In the course of addressing these problems, a decision-maker encounters multiple and contradictory objectives with respect to the output set. This motivates the exploration of new arenas of measurement of efficiency to facilitate policy decisions and address technological relationships. This research presents five modifications of the traditional DEA technique to give a more realistic and comprehensive score of production efficiency considering both, desirable and undesirable outputs. The models address the following problems: (i) technological dependency between desirable and undesirable outputs; (ii) decision-maker's preferences over inputs, desirable outputs and undesirable output performance and finally (iii) conflicting production objectives through a formulation that uses Goal Programming in conjunction with DEA, a concept known as GoDEA.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-02242002-171932en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02242002-171932/en
dc.identifier.urihttp://hdl.handle.net/10919/31333en
dc.publisherVirginia Techen
dc.relation.haspartPasupathy_etd.PDFen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPerformance Measurementen
dc.subjectTechnological Dependenceen
dc.subjectUndesirable Outputsen
dc.subjectGoal Programmingen
dc.subjectData Envelopment Analysisen
dc.titleModeling Undesirable Outputs in Data Envelopment Analysis: Various Approachesen
dc.typeThesisen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Pasupathy_etd.PDF
Size:
1.31 MB
Format:
Adobe Portable Document Format
Download
Collections
Masters Theses