Reduce one input only to the largest extent possible without any increase in other inputs or decrease in output. An illustrative specification of the model is attached as pdf file.
I have used GAMS to solve DEA models. GAUSS is probably a good software as well.
This research paper might be helpful.
http://eprints.lse.ac.uk/22782/1/WP_02_49_LSERO_version.pdf
I have used LINGO (www.lindo.com) to solve DEA. In their library there are some models too.
I think such DEA model can be solved using the concept of non-discretionary inputs (other inputs). One of the simplest software for such model is EMS. http://www.holger-scheel.de/ems/ems.pdf
http://www.holger-scheel.de/ems/ems.pdf
R has useful packages- Benchmarking, rDEA, nonparaeff, FEAR. That's what I use
I think such DEA model can be solved using the R with it's packages-Benchmarking.
I upload DEAwithCrossEfficient.pdf that is one of first chapter of DEA with CCR and Inverted DEA models and crossEficient published from Amazon.
I explain how to build LINGO SEts model and DEA.
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