Efficiency Analysis: How to Use Data Envelopment Analysis to Compare Efficiencies of Garages


Features Demonstrated

The following features are demonstrated in this example:

  • problem type: linear programming (data envelopment analysis)

  • numeric and string index sets

  • reading and writing multiple data sets

  • reading dense two-dimensional data

  • calling a solver in a DO loop

  • calling a solver in a COFOR loop

  • .sol variable suffix

  • storing a solution in a numeric parameter

  • using a colon (:) to select members of a set

  • set operator DIFF

  • writing dense two-dimensional data

  • writing sparse two-dimensional data