Efficiency and effectivity of high precision grinding manufacturing processes: An approach based on combined DEA and cluster analyses

Bracke S., Radetzky M., Rosebrock C., ULUTAŞ B.

12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Naples, Italy, 18 - 20 July 2018, vol.79, pp.292-297 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 79
  • Doi Number: 10.1016/j.procir.2019.02.069
  • City: Naples
  • Country: Italy
  • Page Numbers: pp.292-297
  • Keywords: Data envelopment analysis, Cluster analysis, Grinding, Cutlery, Design of experiments
  • Eskisehir Osmangazi University Affiliated: Yes


The manufacturing reproducibility of high precision grinding patterns depends on many process influences and technology characteristics, like cutting speed, lining, grinding disc, cutting fluid and longitudinal feed. This paper outlines a combined approach for the detection of grinding parameter settings, which ensure on the one hand reproducibility and on the other hand guarantee economy. Cluster analytics is utilised to identify grinding parameter sets and grinding results with similar characteristics within a group. Data Envelopment Analysis (DEA) is applied to describe the efficiency of these grinding processes based on input and output parameters which are selected with regard to grinding patterns. (C) 2019 The Authors. Published by Elsevier B.V.