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Engineering Applications of Data Envelopment Analysis

Issues and Opportunities
  • Konstantinos P. TriantisEmail author
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 164)

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 20 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, assessed the performance 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 of 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.

Keywords

Data envelopment analysis Engineering design and decision-making Disaggregated process definition and improvement Hierarchical manufacturing system performance Dynamical production systems Data imprecision Integrated performance measurement systems Systems thinking 

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.System Performance Laboratory, Grado Department of Industrial and Systems Engineering, Northern Virginia CenterVirginia TechFalls ChurchUSA

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