Use of data envelopment analysis and clustering in multiple criteria optimization

Article type: Research Article

Authors: Villarreal Marroquín, María Guadalupe^a | Sánchez Peña, Matilde Luz^a | Castro, Carlos E.^b | Castro, José M.^c | Cabrera-Ríos, Mauricio^{a; *}

Affiliations: [a] Graduate Program in Systems Engineering, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León 66450, México | [b] Graduate Program in Polymer Science and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA | [c] Department of Industrial, Welding & Systems Engineering, The Ohio State University, Columbus, OH 43210, USA

Correspondence: [*] Corresponding author: Graduate Program in Systems Engineering, Universidad Autónoma de Nuevo León, Av. Universidad S/N, Cd. Universitaria, Edificio de Posgrado-FIME, San Nicolás de los Garza, Nuevo León 66450, México. Tel.: +52 81 14920367; Fax: +52 81 10523321; E-mail: [email protected], [email protected].

Abstract: In manufacturing it is common to be required to simultaneously meet several performance measures with varying degrees of conflict among them. Such situation poses a multiple criteria optimization problem. Finding solutions to this kind of problems in an efficient manner is critical for industrial application. In this work, data clustering techniques are explored to make the solution process to multicriteria optimization problems efficient via Data Envelopment Analysis. The results of different clustering schemes are reported and conclusions are drawn from their evaluation.

Keywords: Multiple criteria optimization, data envelopment analysis, data clustering techniques

DOI: 10.3233/IDA-2008-12106

Journal: Intelligent Data Analysis, vol. 12, no. 1, pp. 89-101, 2008