Nonparametric efficiency analysis under uncertainty using data envelopment analysis [An article from: International Journal of Production Economics] Buy on Amazon

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Nonparametric efficiency analysis under uncertainty using data envelopment analysis [An article from: International Journal of Production Economics]

PublisherElsevier
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Book Details

Author(s)J.K. Sengupta
PublisherElsevier
ISBN / ASINB000RR2I2E
ISBN-13978B000RR2I20
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from International Journal of Production Economics, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Production and cost frontiers of a firm in an industry are directly affected by the uncertainty of market demand and the uncertainty of input availability. The nonparametric approach of data envelopment analysis (DEA) is generalized here in both static and dynamic directions by incorporating these uncertainties. The paper addresses an extension of the convex hull method of DEA for determining a production frontier in the presence of demand and supply uncertainty of outputs and inputs respectively. This is illustrated by an empirical application to the computer industry.

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