1. Schedule On Thursdays we will be here in SOS180 for: –19-02-2009 (today) –26-02-2009 –05-03-2009 Homework 1 is on the web, due to next Friday (17:00 27-02-2009).

2. Today We will write and solve the corresponding LP to analyze a simple DEA problem. Here is our data set: DMUABCDEFG Input I1I1 47842103 I2I2 3312417 OutputO1111111

3. Graphically...

4. Mathematical modelling Data Model variables

5. Linear Program (LP):

6. Obtain file(s): Copy and paste the excel file to your own accounts: F:\COURSES\UGRADS\INDR\INDR471\SHARE\Labs\ lab1-LP-raw.xls Also open the power point file: F:\COURSES\UGRADS\INDR\INDR471\SHARE\labs\DEA-Lab-18-02-09.ppt

7. 1 Solve the corresponding LP for DMUs A in Excel. Keep the sensitivity report.

8. SUMPRODUCT Multiplies corresponding components in the given arrays, and returns the sum of those products. Syntax SUMPRODUCT(array1,array2,array3,...) Array1, array2, array3,... are 2 to 30 arrays whose components you want to multiply and then add. Remarks The array arguments must have the same dimensions. If they do not, SUMPRODUCT returns the #VALUE! error value. SUMPRODUCT treats array entries that are not numeric as if they were zeros.

9. Excel solver Tools  Add-in  Excel solver Options  International  Decimal and Thousands (for later use, but…)

10. 1.a What is the efficiency of DMU A? What are the optimal input-output weights for DMU A? Does the solution show whether DMU A has purely technical (or ratio) and/or mix inefficiencies? How? Why? Explain.

11. 1.b What is the level of input for DMU A to be ratio (or purely technical) efficient? Note its meaning: If the DMU becomes ratio efficient, it can produce the same level of output with a decreased amount of input, while keeping the input ratios the same. inputs for A* efficiency of A: 4*0.8517 = 3.4286 (input 4’tu 3.42 olmalı) 3*0.8517 = 2.5714

12. 1.c 1.Which constraints are binding? 2.What are the shadow prices of the constraints? 3.Use this information to determine the reference set for each of the DMUs. 4.Can we use the above information to find target input/output levels for DMU A? Note: A binding constraint have a slack value of 0. The shadow prices of non-binding constraints are always 0 (Why?). The values of slacks for the constraints are given in “Final Value” of “Constraints” section in the sensitivity report.

13. Definition: Reference Set For an inefficient DMU e, we define its reference set R e, based on the max-slack solution as obtained in phases one and two, by (binding olanlar reference set oluyor.) R e = {k є {1, …, K} | k *>0} Dual variable vs its constraint in LP

14. Hypothetical composite unit (HCU) and target setting for inefficient for DMU e Input targets: Output targets: CCR projections.

15. For DMU A to be efficient: (Lamda=shadow price) 0.7143*inputs for unit D + 0.2857 * inputs for unit E = 0.7143* (4) + 0.2857 * (2) (2) + (4) = 3.4286 2.5714 current inputs: 4, 3 inputs for A* efficiency of A: 4*0.8517 = 3.4286 3*0.8517 = 2.5714

16. Meaning of shadow prices in DEA LP e LP e with an increase in the RHS

17. 1.d Do you observe binding constraint(s) with a shadow price of 0 for any of these DMUs? If yes, which one? Is it efficient or inefficient? Binding constraints with a shadow price of 0 indicate the existence of multiple optima.

18. 2.a What is the efficiency of DMU G? What are the optimal input-output weights for DMU G? Does the solution show whether DMU C has purely technical (or ratio) and/or mix inefficiencies? How? Why? Explain.

19. 2.b What is the level of input for DMU G to be ratio (or purely technical) efficient? Note its meaning: If the DMU becomes ratio efficient, it can produce the same level of output with a decreased amount of input, while keeping the input ratios the same. inputs for G* efficiency of G: 3*0.6667 = 2 7*0.6667 = 4.6667

20. 2.c 1.Which constraints are binding? 2.What are the shadow prices of the constraints? 3.Use this information to determine the reference set for each of the DMUs. 4.Can we use the above information to find target input/output levels for DMU G? Note: A binding constraint have a slack value of 0. The shadow prices of non-binding constraints are always 0 (Why?). The values of slacks for the constraints are given in “Final Value” of “Constraints” section in the sensitivity report.

21. For DMU G to be efficient: 1 * inputs for unit E (2) = (4) current inputs: 3, 7 inputs for G* efficiency of G: 3*0.6667 = 2 7*0.6667 = 4.6667

22. 2.d Do you observe binding constraint(s) with a shadow price of 0 for any of these DMUs? If yes, which one? Is it efficient or inefficient? Binding constraints with a shadow price of 0 indicate the existence of multiple optima.

23. Our goal To compute the efficiency of each DMU (identify both ratio and mix inefficiency, if present) To set target levels for each DMU, which will make them efficient To identify efficient DMUs which have similar input- output levels to an inefficient DMU e, so that DMU e can learn from these specific efficient DMUs. Does the LP formulation fulfill these goals?

24. LP e for CCR and its dual DLP e : LP e DLP e Linear combination of observed input values. Linear combination of observed output values. Output of DMU e Effective input of DMU e