$Title Chapter 2 (Fig. 2.17) $Title Mathematical formulation of the multiplier VRS DEA model and the corresponding GAMS code $onText If using this code, please cite: --------------------------------------------------------------------------------- Emrouznejad, A., P. Petridis, and V. Charles (2023). Data Envelopment Analysis with GAMS: A Handbook on Productivity Analysis, and Performance Measurement, Springer, ISBN: 978-3-031-30700-3. --------------------------------------------------------------------------------- Website: https://dataenvelopment.com/GAMS/ $offText Sets j DMUs /DMU1*DMU10/ g Inputs and Outputs /ProdCost, TrnCost, HoldInv, SatDem, Rev/ i(g) Inputs /ProdCost, TrnCost, HoldInv/ r(g) Outputs /SatDem, Rev/; alias(jj,j); alias(k,jj); Table Data(j,g) Data for inputs and outputs ProdCost TrnCost HoldInv SatDem Rev DMU1 0.255 0.161 0.373 20 2.64 DMU2 0.98 0.248 0.606 6 5.29 DMU3 0.507 0.937 0.749 17 2.43 DMU4 0.305 0.249 0.841 2 8.99 DMU5 0.659 0.248 0.979 19 2.94 DMU6 0.568 0.508 0.919 17 0.75 DMU7 0.583 0.628 0.732 17 6.36 DMU8 0.627 0.675 0.738 10 7.2 DMU9 0.772 0.657 0.486 9 2.16 DMU10 0.917 0.639 0.234 8 7.3; Variables efficiency objective function mu v(i) dual input u(r) dual output; Nonnegative variables v(i) dual input u(r) dual output; Parameters DMU_data(g) slice of data eff(j) efficiency report res_v(j,i) results for dual input res_u(j,r) results for dual output res_mu(j) results for mu; Equations OBJ objective function CON1(j) CON2; OBJ.. efficiency=E=SUM(r,u(r)*DMU_data(r))+mu; CON1(j).. SUM(r,u(r)*Data(j,r))-SUM(i,v(i)*Data(j,i))+mu=L=0; CON2.. SUM(i,v(i)*DMU_data(i))=E=1; model DEA_CRS input oriented DEA CRS / OBJ, CON1, CON2 /; loop(jj, DMU_data(g) = Data(jj,g); solve DEA_CRS using LP Maximizing efficiency; eff(jj)=efficiency.l; res_v(jj,i)=v.l(i); res_u(jj,r)=u.l(r); res_mu(j)=mu.l; ); Display eff, res_v, res_u, res_mu;