MSF Solver: DEA via Excel plug-in

he Excel plug-in allows only for one model. Data Envelopment Analysis models however consist of a number of small LP models: one for each DMU (Decision-Making Unit). However the individual LP models are very small. So it is reasonable to combine all small LP’s into one bigger LP. Basically we form:

max	+c1'x1	+c2'x2	...	+cK'xK
	A1x1=b1
		A2x2=b2
			...
				AKxK=bK

A basic CCR model can look like:

// DEA: combine all LPs into bigger LP
Model[
  Parameters[Sets,DMU,Inp,Outp],
  Parameters[Reals,x[DMU,Inp],y[DMU,Outp]],
  Decisions[Reals[0,Infinity],v[DMU,Inp],u[DMU,Outp]],
  Decisions[Reals,efficiency[DMU]],
  Constraints[
      // objectives:
      Foreach[{j0,DMU},efficiency[j0]==Sum[{o,Outp},u[j0,o]*y[j0,o]]],
      // normalize:
      Foreach[{j0,DMU},Sum[{in,Inp}, v[j0,in]*x[j0,in]] == 1],
      // limit:
      Foreach[{i,DMU},{j0,DMU},Sum[{o,Outp}, u[j0,o]*y[i,o]] <= Sum[{in,Inp}, v[j0,in]*x[i,in]]]
  ],
  Goals[Maximize[totaleff -> Sum[{j0,DMU},efficiency[j0]]]]
]

See also http://www.amsterdamoptimization.com/models/msf/oml.pdf. A similar trick was used in http://yetanothermathprogrammingconsultant.blogspot.com/2009/03/efficient-portfolio-frontier-in-msf.html.

Of course if you prefer to work at the API level there is no problem in solving a series of LP’s.

The Excel interface makes it easy to sort the results. In this case that is done with the Filter facility in Excel.

(click to enlarge)