Assessment of Component’s Efficiency with MCDEA
Subject Areas : Industrial Management
Seyed Esmail Najafi
1
(
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
)
Elham Shafaghi
2
(
M.A in Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
)
Faigh Zaheri
3
(
Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
)
Keywords:
Abstract :
Charnes, A., Cooper WW, & Rhodes, E. (1978). Measuring the efficiency of decision
making units. European Journal of the Operational Research, 2,429–44.
2. Wade, Cook, Moez Hababou, Hanse J. H., Tuenter. (2000). Multi component Efficiency
Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales
and Service Performance in Bank Branches. Journal of Productivity Analysis, 14, 209–
224
3. Charnes, A. Clarke, C., Cooper, W.W., Golany, B. (1985). A development study of DEA
in measuring the effect of maintenance units in the U.S. Air Force. Annals of Operations
Research, 2, 95–112.
4. Wade D. Cook a, Rodney H. Green. (2004). Multi component efficiency measurement and
core business identification in multi plant firms: A DEA model. European Journal of
Operational Research 157. 540–551.
5. Cook, Wade D., Moez Hababou, & Hans J. H. Tuenter. (1999). Multi component
efficiency measurement and shared inputs in data envelopment analysis: An application to
sales and service performance in bank branches. Research program (york university
(Toronto, ont.). schulich school of business; no.99-09. North York, Ont.: York University
Schulich School of Business.
6. R. Fare, S. Grosskopf. (1996). Productivity and intermediate products: a frontier approach
. Computational Economics. 50 (1). 65–70.
7. Hajshirmohammadi, Ali .(2004). Total Productive Maintenance. Esfahan .Arkan
publication. Fourth edition, 234 (Translated in Persian).
8. Hosseini, M. (2002). Total Productive Maintenance .industrial management organization.
Publication. Fifth edition, 305.
9. G.R. Jahanshahloo a, A.R. Amirteimoori b,S. Kordrostami. (2004). Multi-component
performance, progress and regress measurement and shared inputs and outputs in DEA for
panel data. Mathematics and Computation, 151, 1–16
Charnes, A., Cooper WW, & Rhodes, E. (1978). Measuring the efficiency of decision
making units. European Journal of the Operational Research, 2,429–44.
2. Wade, Cook, Moez Hababou, Hanse J. H., Tuenter. (2000). Multi component Efficiency
Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales
and Service Performance in Bank Branches. Journal of Productivity Analysis, 14, 209–
224
3. Charnes, A. Clarke, C., Cooper, W.W., Golany, B. (1985). A development study of DEA
in measuring the effect of maintenance units in the U.S. Air Force. Annals of Operations
Research, 2, 95–112.
4. Wade D. Cook a, Rodney H. Green. (2004). Multi component efficiency measurement and
core business identification in multi plant firms: A DEA model. European Journal of
Operational Research 157. 540–551.
5. Cook, Wade D., Moez Hababou, & Hans J. H. Tuenter. (1999). Multi component
efficiency measurement and shared inputs in data envelopment analysis: An application to
sales and service performance in bank branches. Research program (york university
(Toronto, ont.). schulich school of business; no.99-09. North York, Ont.: York University
Schulich School of Business.
6. R. Fare, S. Grosskopf. (1996). Productivity and intermediate products: a frontier approach
. Computational Economics. 50 (1). 65–70.
7. Hajshirmohammadi, Ali .(2004). Total Productive Maintenance. Esfahan .Arkan
publication. Fourth edition, 234 (Translated in Persian).
8. Hosseini, M. (2002). Total Productive Maintenance .industrial management organization.
Publication. Fifth edition, 305.
9. G.R. Jahanshahloo a, A.R. Amirteimoori b,S. Kordrostami. (2004). Multi-component
performance, progress and regress measurement and shared inputs and outputs in DEA for
panel data. Mathematics and Computation, 151, 1–16
