dc.contributor.author	Otis, Paul T.	en
dc.contributor.committeechair	Triantis, Konstantinos P.	en
dc.contributor.committeemember	Drew, Donald R.	en
dc.contributor.committeemember	Grizzard, Thomas J.	en
dc.contributor.committeemember	Sullivan, William G.	en
dc.contributor.committeemember	Koelling, C. Patrick	en
dc.contributor.department	Industrial and Systems Engineering	en
dc.date.accessioned	2014-03-14T20:08:59Z	en
dc.date.adate	1999-04-22	en
dc.date.available	2014-03-14T20:08:59Z	en
dc.date.issued	1999-01-29	en
dc.date.rdate	2000-04-22	en
dc.date.sdate	1999-04-05	en
dc.description.abstract	The concept of efficiency measurement is based on the definition of a frontier that envelopes observed production plans. The effect of pollution on productive efficiency is typically studied by considering pollution as not freely disposable (i.e., there is a cost incurred to dispose of pollution) or by assigning shadow prices to pollution outputs. However, the frontier along with the required technological assumptions (such as convexity) needed for a definition of a frontier may be replaced with the concept of pair-wise dominance. With data from a manufacturing facility, the use of pair-wise dominance allows one to consider a wide spectrum of inputs and outputs. Pair-wise dominance can also be applied to segregate production plans into sets according to their relative environmental performance and productive efficiency. These sets are used to identify reference production plans upon which distance-based measures of performance are defined. This research applies pair-wise dominance to time series data from a printed circuit board manufacturing facility to illustrate the approach. The proposed approach is compared to the Data Envelopment Analysis (DEA) approach. It was observed that for detailed production data the proposed approach was more informative concerning the measurement of productive efficiency than the standard methods.	en
dc.description.degree	Ph. D.	en
dc.identifier.other	etd-040599-163219	en
dc.identifier.sourceurl	http://scholar.lib.vt.edu/theses/available/etd-040599-163219/	en
dc.identifier.uri	http://hdl.handle.net/10919/26653	en
dc.publisher	Virginia Tech	en
dc.relation.haspart	AppA_notation.pdf	en
dc.relation.haspart	cv.pdf	en
dc.relation.haspart	AppC_calcs.pdf	en
dc.relation.haspart	References.pdf	en
dc.relation.haspart	Contents.pdf	en
dc.relation.haspart	Chapter5.pdf	en
dc.relation.haspart	AppD_programs.pdf	en
dc.relation.haspart	Chapter3.pdf	en
dc.relation.haspart	Glossary.pdf	en
dc.relation.haspart	Chapter2.pdf	en
dc.relation.haspart	Chapter1.pdf	en
dc.relation.haspart	Chapter4.pdf	en
dc.relation.haspart	AppB_data.pdf	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	benchmark correspondence	en
dc.subject	environmental performance	en
dc.subject	data envelopment analysis	en
dc.subject	productive efficiency	en
dc.subject	dominance	en
dc.title	Dominance Based Measurement of Environmental Performance and Productive Efficiency of Manufacturing	en
dc.type	Dissertation	en
thesis.degree.discipline	Industrial and Systems Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	doctoral	en
thesis.degree.name	Ph. D.	en

Dominance Based Measurement of Environmental Performance and Productive Efficiency of Manufacturing

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