An improved common weight DEA-based methodology for manufacturing technology selection

Goker N., KARSAK E. E.

2016 World Congress on Engineering and Computer Science, WCECS 2016, California, United States Of America, 19 - 21 October 2016, vol.2226, pp.864-869 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2226
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.864-869
  • Keywords: Common-weight dea-based models, Decision analysis, Discriminating power, Manufacturing technology selection, Mathematical models
  • Galatasaray University Affiliated: Yes


Advanced manufacturing technologies have been widely used due to the competitive market forces and the rapid advances in computer and engineering sciences while their evaluation and selection require a complex decision making process with a large number of alternatives and performance attributes. This paper proposes an improved common weight data envelopment analysis based approach for manufacturing technology selection problem considering multiple inputs and multiple outputs. Comparative analyses of the results of a numerical example addressed in earlier studies are given in order to illustrate the robustness of the proposed decision methodology, which provides better weight dispersion and an improved discriminating power in ranking flexible manufacturing system (FMS) alternatives. The proposed approach does not require an arbitrary discriminating parameter, assures to identify the most efficient FMS via solving a single mixed integer linear programming model, and provides better dispersion for input and output weights.