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Engineering Applications of Data Envelopment Analysis

Issues and Opportunities

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Handbook on Data Envelopment Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 71))

Abstract

Engineering is concerned with the design of products, services, processes, or in general with the design of systems. These design activities are managed and improved by the organization’s decision-makers. Therefore, the performance evaluation of the production function where engineering plays a fundamental role is an integral part of managerial decision-making. In the last twenty years, there has been limited research that uses Data Envelopment Analysis (DEA) in Engineering. One can attribute this to a number of issues that include but are not limited to: the lack of understanding of the role of DEA in assessing and improving design decisions, the inability to open the input/output process transformation box, and the unavailability of production and engineering data. Nevertheless, the existing DEA applications in Engineering have focused on the evaluation of alternative design configurations, have proposed performance improvement interventions for production processes at the disaggregated level, ass essed the preformance of hierarchical manufacturing organizations, studied the dynamical behavior of production systems, and have dealt with data imprecision issues. This chapter discusses the issues that the researcher faces when applying DEA to engineering problems, proposes an approach for the design an integrated DEA based performance measurement system, summarizes studies that have focused on engineering applications of DEA, and suggests some systems thinking concepts that are appropriate for future DEA research in Engineering.

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  1. Virginia Tech, System Performance Laboratory, Grado Department of Industrial and Systems Engineering, Northern Virginia Center, 7053 Haycock Road, Falls Church, VA, 22043-2311, USA

    Konstantinos P. Triantis

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  1. University of Texas at Austin, USA

    William W. Cooper

  2. University of Michigan at Ann Arbor, USA

    Lawrence M. Seiford

  3. Worcester Polytechnic Institute, USA

    Joe Zhu

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Triantis, K.P. (2004). Engineering Applications of Data Envelopment Analysis. In: Cooper, W.W., Seiford, L.M., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 71. Springer, Boston, MA. https://doi.org/10.1007/1-4020-7798-X_14

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