DATA ENVELOPMENT ANALYSIS INPUT OUTPUT SALES STORE LOCATION 1 A 2 B 3 C 4 D 5 E EBITDA 47,682,116.00 7,459,291.04 42,612,114.00 3,880,099.22 44,187,228.00 4,215,221.34 30,487,610.00 4,201,924.50 41,535,542.00 5,182,632.13 24,497,561.00 3,079,085.88 43,749,818.00 6,485,312.38 24,081,113.00 1,820,738.46 44,711,757.00 6,310,682.23 32.138.829.00 125.695.97 STORE ARE(SQ.FT) #EMPLOYEES 35,523.00 62.00 39,493.00 75.00 39,731.00 79.00 35.833.00 77.00 36,552.00 75.00 37,328.00 61.00 38,709.00 37,827.00 35,631.00 39,508.00 6 F 7 G 79.00 8 H 66.00 66.00 9 K 63.00 Team members: 10 L 1 2 3 4 5 1. Formulate a LP Model for Each Store. Please include Decision variables, Objective function and Constraints! 2. Solve it! 3. Which Stores are efficient? 4. Which Stores are not efficient? CHAPTER 4 (DATA ENVELOPMENT ANALYSIS) maximum 5 students per group Deadline: 4/30 11:00pm