The scope of AHP (the analytic hierarchy process) and DEA (data envelopment analysis) is widened when there is an integration of AHP and DEA to DEAHP as the same finds a lot of application areas because of its boundless flexibility and varied applicability. Furthermore, the scope, flexibility and applicability are increased manifold when DEAHP is integrated with other approaches and methods. This paper reviews the literature of the journal articles which have fond its integration with DEAHP. On the basis of a defined search criterion, related articles appearing in the international journals from 2000 to 2018 are collected and analysed so that the following five questions can be answered: (1) Which of approach of integrated-DEAHP was mostly prevalent and got the utmost attention? (2) Which of the areas of application were often studied mostly and have found their application with integrated DEAHP approaches? (3) Which of the specific problems were most frequently applied to integrated DEAHP approaches? (4) What are the publications trends for the papers considering the integrated DEAHP approaches? and (5) Which of the journals of international standards published how many numbers of journal articles and among them which have the highest number of papers on the approach of integrated DEAHP? This literature review gives evidence that the integrated DEAHPs have better hold in tackling the inadequacy the stand-alone DEAHPs. This article allows the researcher to think upon new application areas and specific problem areas where integrated DEAHP approach could be applied to effectively and efficiently. The novelty of this paper lies in the fact that it is the one of a kind paper of literature review which takes on the approach of integrated DEAHP along with stand-alone DEAHP.
Keywords: Integrated Data Envelopment Analysis-Analytic Hierarchy Process; AHP; DEA; DEAHP; Literature Review
Integrated Data Envelopment Analysis-Analytic Hierarchy Process, AHP, DEA, DEAHP, Literature Review
Aji, Y., & Hariga, M. (2013). An AHP-DEA-based vendor selection approach for an online trading platform. International Journal of Applied Decision Sciences. https://doi.org/10.1504/IJADS.2013.052633
Alem, S. M., Jolai, F., & Shirkouhi, S. N. (2013). An integrated fuzzy DEA-fuzzy AHP approach: a new model for ranking decision-making units. International Journal of Operational Research.
Amin, G. R. & Toloo, M. (2007). Finding the most efficient DMUs in DEA: An improved integrated model. Computers and Industrial Engineering. https://doi.org/10.1016/j.cie.2008.07.014
Antonio, A. C., Domingo, G. M., Humberto, B. O., Alvaro, L. L., Alvaro, L. R. & Rebeca del Rocío, P. V. (2012). Measuring the institutional efficiency using data envelopment analysis and analytic hierarchy process: The case of a Mexican University. African Journal of Business Management, 6(50), 11923–11930. https://doi.org/10.5897/AJBM10.770
Azadeh, A., Ghaderi, S. F., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195 (2), 775–785. https://doi.org/10.1016/j.amc.2007.05.023
Azadeh, A., Ghaderi, S. F., Mirjalili, M., & Moghaddam, M. (2011). Integration of analytic hierarchy process and data envelopment analysis for assessment and optimization of personnel productivity in a large industrial bank. Expert Systems with Applications.
Moon, J. & Kang S. (2015). An Integrated DEA An Integrated DEA An Integrated DEA -AHP Model AHP Model for the Acquisition of Weapon System : Selection of a next-generation fighter system in Korea. Journal Of Information And Communication Convergence Engineering.
Bana e Costa, C. A. , & Vansnick, J. C. (2008). A critical analysis of the eigenvalue method used to derive priorities in AHP. European Journal of Operational Re- search, 187 (3), 1422–1428 .
Banwet, J. D. K., Deshmukh, S. G. (2008). Evaluating performance of national R&D organizations using integrated DEA-AHP technique. International Journal of Productivity and Performance Management, 57, 405–419. https://doi.org/10.1108/17410400810881836
Cai, Y., & Wu, W. (2001). Synthetic financial evaluation by a method of combining DEA with AHP. International Transactions in Operational Research. 603-609
Çalik, A., Yapici Pehlivan, N., & Kahraman, C. (2018). An Integrated Fuzzy AHP/DEA Approach For Performance Evaluation Of Territorial Units In Turkey. Technological and Economic Development of Economy. https://doi.org/10.3846/20294913.2016.1230563
Chan, F. T. S. & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35 (4), 417–431 .
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research. https://doi.org/10.1016/0377-2217(78)90138-8
Che, Z. H., Wang, H. S., & Chuang, C. L. (2010). A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan. Expert Systems with Applications.
Emrouznejad, A., Parker, B.R., Tavates, G. (2008). Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-Economic Planning Sciences 42, 151–157.
Emrouznejad A, Thanassoulis E. (1996a). An extensive bibliography of Data Envelopment Analysis (DEA), vol. I: journal papers, Working Paper, p. 1–55.
Emrouznejad A, Thanassoulis E. (1996b). An extensive bibliography of Data Envelopment Analysis (DEA), vol. II: journal papers, Working Paper, p. 1–21.
Emrouznejad A, Thanassoulis E. (1997). An Extensive bibliography of Data Envelopment Analysis (DEA), vol. III: supplement 1, Working Paper 258: p. 1–24.
Emrouznejad, A., & Yang, G. L., (2017). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences. http://dx.doi.org/10.1016/j.seps.2017.01.008
Ertay, T., Ruan, D., & Tuzkaya, U. R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences.
Falsini, D., Fondi, F., & Schiraldi, M. M. (2012). A logistics provider evaluation and selection methodology based on AHP, DEA and linear programming integration. International Journal of Production Research. https://doi.org/10.1080/00207543.2012.657969
Foroughi, A., & Esfahani, M. J. (2012). A robust AHP-DEA method for measuring the relative efficiency: An application of airport industry. Management Science Letters. https://doi.org/10.5267/j.msl.2011.09.018
Gattoufi, S., Oral, M.,& Reisman, A. (2004a). A taxonomy for Data Envelopment Analysis. Socio-Economic Planning Sciences 38(2–3), 141–158.
Gattoufi, S., Oral, M., & Reisman, A. (2004b). Data Envelopment Analysis literature: a bibliography update (1996–2001). Socio-Economic Planning Sciences 38(2–3), 122–159.
Giokas, D. I., & Pentzaropoulos, G. C. (2008). Efficiency ranking of the OECD member states in the area of telecommunications: A composite AHP/DEA study. Telecommunications Policy.
Gupta, P., Mehlawat, M. K., Aggarwal, U., & Charles, V. (2018). An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry. Resources Policy.
Hadad, Y., & Hanani, M. Z. (2011). Combining the AHP and DEA methodologies for selecting the best alternative. International Journal of Logistics Systems and Management.
Hadi-Vencheh, A., & Mohamadghasemi, A. (2011). A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2010.08.119
Ho, W. (2008). Integrated analytic hierarchy process and its applications - A literature review. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2007.01.004
Ho, W., & Ma, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2017.09.007
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015) Supply chain risk management: a literature review. International Journal of Production Research. 53 (16), 5031-5069, https://doi.org/10.1080/00207543.2015.1030467
Huang, D., & Chi, X. (2015). Application of Delphi-AHP-DEA-FCE model in competitiveness evaluation of sports tourism destination. International Journal of Simulation: Systems, Science and Technology. https://doi.org/10.5013/IJSSST.a.16.1B.20
Kamvysi, K., Gotzamani, K., Georgiou, A. C., & Andronikidis, A. (2010) Integrating DEAHP and DEANP into the quality function deployment. The TQM Journal. Vol. 22 (3). pp.293-316.
Kamvysi, K., Gotzamani, K., Andronikidis, A., & Georgiou, A. C. (2014). Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2014.02.041
Kasap, Y., & Kiri?, ?. (2013). An AHP-DEA approach for evaluating electricity generation firms of OECD countries. Energy Sources, Part B: Economics, Planning and Policy.
Kavurmaci, M., & Üstün, A. K. (2016). Assessment of groundwater quality using DEA and AHP: a case study in the Sereflikochisar region in Turkey. Environmental Monitoring and Assessment.
Kengpol, A., & Tuammee, S. (2015). The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study. International Journal of Production Research. https://doi.org/10.1080/00207543.2015.1041570doi.org/10.1080/00207543.2015.1041570
Korpela, J., Lehmusvaara, A., & Nisonen, J. (2007). Warehouse operator selection by combining AHP and DEA methodologies. International Journal of Production Economics.
Kulakowski, K. (2015). Notes on order preservation and consistency in AHP. European Journal of Operational Research, 245 (1), 333–337 .
Kumar, A., Debnath, R. M., Shankar, R., & Prabhu, J., (2014). Analyzing customer preference and measuring relative efficiency in telecom sector: A hybrid fuzzy AHP/DEA study. Telematics and Informatics. https://doi.org/10.1016/j.tele.2014.10.003
Kumar, K. S., & Babu, A. S. (2012). An integrated method using AHP, DEA and GP for evaluating supply sources. International Journal of Services and Operations Management (Vol. 11).
Kuo, R. J., Lee, L. Y., & Hu, T. L. (2010). Developing a supplier selection system through integrating fuzzy AHP and fuzzy DEA: A case study on an auto lighting system company in Taiwan. Production Planning and Control: The Management of
Lai, P. L., Potter, A., Beynon, M., & Beresford, A. (2015). Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique. Transport Policy.
Lee, A. H. I. (2009). A fuzzy AHP evaluation model for buyer–supplier relationships with the consideration of benefits, opportunities, costs and risks. International Journal of Production Research, 47 (15), 4255–4280.
Lee, S. K., Mogi, G., & Hui, K. S. (2013). A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices. Renewable and Sustainable Energy Reviews.
Lee, S. K., Mogi, G., Lee, S. K., Hui, K. S., Kim, J. W. (2010). Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency: The fuzzy AHP/DEA integrated model approach. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2010.01.009
Lee, S. K., Mogi, G., Li, Z., Hui, K. S., Lee S. K., Hui, K. N., Park, S. Y., Ha, Y. J., & Kim, J. W. (2011). Measuring the relative efficiency of hydrogen energy technologies for implementing the hydrogen economy: An integrated fuzzy AHP/DEA approach. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2011.06.135
Li, H. L., & Ma, L. C. (2008). Ranking Decision Alternatives By Integrated DEA, AHP And Gower Plot Techniques. International Journal of Information Technology & Decision Making (Vol. 11). Retrieved from www.worldscientific.com
Li, X., Liu, Y., Wang, Y., & Gao, Z. (2016). Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones. Journal of Traffic and Transportation Engineering (English Edition). https://doi.org/10.1016/j.jtte.2016.05.004
Liang, Y. H. (2015). Performance measurement of interorganizational information systems in the supply chain. International Journal of Production Research, 53 (18), 5484–5499 .
Lin, M. I., Lee, Y. D., & Ho, T. N. (2011). Applying integrated DEA/AHP to evaluate the economic performance of local governments in China. European Journal of Operational Research.
Loron, A. S., Loron, M. S., & Peyvandi, G. (2015) An Integrated Fuzzy Analytic Hierarchy Process-Fuzzy Data Envelopment Analysis (FAHP-FDEA) Method For Intelligent Building Assessment. The Journal Tehni?ki vjesnik – Technical Gazette (TV-TG)
Lozano, S., & Villa, G. (2009). Multiobjective target setting in data envelopment analysis using AHP. Computers & Operations Research. https://doi.org/10.1016/j.cor.2007.10.015
Mirhedayatian, S. M., & Saen, R. F. (2011). A new approach for weight derivation using data envelopment analysis in the analytic hierarchy process. Journal of the Operational Research Society, 62, 1585–1595.
Omid, A., & Zegordi, S. H. (2015). Integrated AHP and network DEA for assessing the efficiency of Iranian handmade carpet industry. Decision Science Letters. https://doi.org/10.5267/j.dsl.2015.6.002
Pakkar, M. S. (2014). Using DEA and AHP for Ratio Analysis. American Journal of Operations Research, 4, 268–279.
Pakkar, M. S. (2015). Using data envelopment analysis and analytic hierarchy process for multiplicative aggregation of financial ratios. Journal of Applied Operational Research, 7(1), 23–35.
Pakkar, M. S. (2016). A Hierarchical Aggregation Approach for Indicators Based on Data Envelopment Analysis and Analytic Hierarchy Process. Systems. https://doi.org/10.3390/systems4010006
Parameshwaran, R., Srinivasan, P. S. S., Punniyamoorthy, M., Charunyanath, S. T., & Ashwin, C. (2009). Integrating fuzzy analytical hierarchy process and data envelopment analysis for performance management in automobile repair shops. European Journal of Industrial Engineering (Vol. 3).
Prasad, K. G. D., Subbaiah, K. V., & Prasad, M. V. (2017). Supplier evaluation and selection through DEA-AHP-GRA integrated approach-A case study. Uncertain Supply Chain Management, 5, 369–382.
Ramanathan, R. (2006). Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process. Computers and Operations Research. https://doi.org/10.1016/j.cor.2004.09.020
Ramanathan, R. (2007). Supplier selection problem: Integrating DEA with the approaches of total cost of ownership and AHP. Supply Chain Management : An International Journal. https://doi.org/10.1108/13598540700759772
Raut, R. D. (2014). An integrated Delphi-AHP-DEA-LPP multi criteria decision making approach for supplier selection and order quantity allocation system. International Journal of Logistics Systems and Management. https://doi.org/10.1504/IJLSM.2014.062823
Rezaei-Shouroki, M., Mostafaeipour, A., & Qolipour, M. (2017). Prioritizing of wind farm locations for hydrogen production: A case study. International Journal of Hydrogen Energy.
Saen, R. F., Memariani, A., & Lotfi, F. H. (2005). Determining relative efficiency of slightly non-homogeneous decision making units by data envelopment analysis: a case study in IROST. Applied Mathematics and Computation. 165, 313–328
Saleeshya, P. G., Babu, A. S. (2012). A combined AHP-and DEA-based approach to measure agility of manufacturing systems. International Journal of Business and Systems Research (Vol. 6).
Saaty, T. L. (2004) Decision Making the analytic hierarchy and network processes (AHP/DEA), Journal of systems science and systems Engineering, 1-34.
Seiford L. M. (1994). A DEA bibliography (1978–1992). In A. Charnes, W. W. Cooper, A. Y. Lewin and L. M. Seiford (Eds.), Data envelopment analysis: Theory, methodology and applications. Boston, USA: Kluwer, 437–469
Seiford, L. M. (1996). Data Envelopment Analysis: The Evolution of the State of the Art (1978-1995). The Journal of Productivity Analysis (Vol. 7). Kluwer Academic Publishers
Seiford L. M. (1997). A bibliography for Data Envelopment Analysis (1978–1996). Annals of Operations Research 73, 393–438
Sevkli, M., Lenny Koh, S. C., Zaim, S., Demirbag, M., & Tatoglu, E. (2007). An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey. International Journal of Production Research. https://doi.org/10.1080/00207540600957399
Shirouyehzad, H., Lotfi, F. H., Arabzad, S. M., & Dabestani, R. (2013). An AHP/DEA ranking method based on service quality approach: a case study in hotel industry. International Journal of Productivity and Quality Management. https://doi.org/10.1504/IJPQM.2013.054169
Singh, S., & Aggarwal, R. (2014). DEAHP Approach for Manpower Performance Evaluation. Journal of the Operations Research Society of China. https://doi.org/10.1007/s40305-014-0050-2
Sinuany-Stern, Z., Mehrez, A., & Hadad, Y. (2000). An AHP/DEA methodology for ranking decision making units. International Transactions in Operational Research. https://doi.org/10.1111/j.1475-3995.2000.tb00189.x
Soltanifar, M., & Hosseinzadeh Lotfi, F. (2011). The voting analytic hierarchy process method for discriminating among efficient decision making units in data envelopment analysis. Computers and Industrial Engineering. https://doi.org/10.1016/j.cie.2010.12.016
Sueyoshi, T., Shang, J., & Chiang, W. C. (2009). A decision support framework for internal audit prioritization in a rental car company: A combined use between DEA and AHP. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2008.11.010
Takamura, Y., & Tone, K. (2003). A comparative site evaluation study for relocating Japanese government agencies out of Tokyo. Socio-Economic Planning Sciences. https://doi.org/10.1016/S0038-0121(02)00049-6
Tavares G. (2002). A bibliography of Data Envelopment Analysis (1978–2001). RUTCOR, Rutgers University. http://rutcor.rutgers.edu/pub/rrr/reports2002/1_2002.pdf.
Tseng, Y. F., & Lee, T. Z. (2009). Comparing appropriate decision support of human resource practices on organizational performance with DEA/AHP model. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2008.07.066
Wang, Y. M., & Chin, K. S. (2009). A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2008.01.049
Wang, Y. M. , Chin, K. S. , & Luo, Y. (2009). Aggregation of direct and indirect judgments in pairwise comparison matrices with a re-examination of the criticisms by Bana e Costa and Vansnick. Information Sciences, 179 (3), 329–337 .
Wang, Y. M., Chin, K. S., & Poon, G. K. K. (2008). A data envelopment analysis method with assurance region for weight generation in the analytic hierarchy process. Decision Support Systems. https://doi.org/10.1016/j.dss.2008.03.002
Wang, Y. M., Liu, J., & Elhag, T. M. S. (2008). An integrated AHP-DEA methodology for bridge risk assessment. Computers and Industrial Engineering. https://doi.org/10.1016/j.cie.2007.09.002
Wang, Y. M., Parkan, C., & Luo, Y. (2008). A linear programming method for generating the most favorable weights from a pairwise comparison matrix. Computers and Operations Research.
Yadav, V., & Sharma, M. K. (2015), An application of hybrid data envelopment analytical hierarchy process approach for supplier selection. Journal of Enterprise Information Management. 28 (2). 218 - 242
Yang, T., & Kuo, C. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operational Research. https://doi.org/10.1016/S0377-2217(02)00251-5
Yu, P., & Lee, J. H. (2013). A hybrid approach using two-level SOM and combined AHP rating and AHP/DEA-AR method for selecting optimal promising emerging technology. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2012.07.043
Yuan, X. C., Wang, Q., Wang, K., Wang, B., Jin, J. L., Wei, Y. M. (2013) China’s regional vulnerability to drought and its mitigation strategies under climate change: data envelopment analysis and analytic hierarchy process integrated approach. Mitigation and Adaptation Strategies for Global Change
Zarei, A., Mehdiabadi, A., & Javidnia, M. (2012). Measuring the units efficiency using an integrated DEA–AHP method: A case study of rivet producer. Management Science Letters.
Zhang, J., & Fu, S. (2012). An Effective DEA-AHP Algorithm for Evaluation of Emergency Logistics Performance. International Journal On Advances in Information Sciences and Service Sciences
Zhang, X., Lee, C. K. M., & Chen, S. (2012). Supplier evaluation and selection: a hybrid model based on DEAHP and ABC. International Journal of Production Research. https://doi.org/10.1080/00207543.2011.560908
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