A new DEA model for technology selection in the presence of ordinal data

Amin, Gholam R. and Emrouznejad, Ali (2012). A new DEA model for technology selection in the presence of ordinal data. International Journal of Advanced Manufacturing Technology, 65 (9-12), pp. 1567-1572.

Abstract

This paper suggests a data envelopment analysis (DEA) model for selecting the most efficient alternative in advanced manufacturing technology in the presence of both cardinal and ordinal data. The paper explains the problem of using an iterative method for finding the most efficient alternative and proposes a new DEA model without the need of solving a series of LPs. A numerical example illustrates the model, and an application in technology selection with multi-inputs/multi-outputs shows the usefulness of the proposed approach.

Publication DOI: https://doi.org/10.1007/s00170-012-4280-3
Divisions: Aston Business School > Operations & information management
Aston Business School > Operations & information management research group
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Uncontrolled Keywords: Data envelopment analysis (DEA),Decision-making units (DMUs),Ordinal data,Technology selection,Industrial and Manufacturing Engineering,Control and Systems Engineering,Computer Science Applications,Software,Mechanical Engineering
Published Date: 2012-04-01

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