Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection
作者： Jaehun Park , Si-Il Sung
DOI: 10.3390/SU8070600
关键词:
摘要: Stepwise benchmark target selection in data envelopment analysis (DEA) is a realistic and effective method by which inefficient decision-making units (DMUs) can choose benchmarks stepwise manner. We propose, for the construction of benchmarking network (i.e., structure consisting an alternative sequence targets), approach that integrates cross-efficiency DEA, K-means clustering context-dependent DEA methods to minimize resource improvement pattern inconsistency intermediate targets (IBTs) DMU. The specific advantages overall effectiveness proposed were demonstrated application case study 34 actual container terminal ports successful determination path
mdpi.com
doaj.org
core.ac.uk参考文章(21)
Srinivas Talluri, A Benchmarking Method for Business-Process Reengineering and Improvement International Journal of Flexible Manufacturing Systems. ,vol. 12, pp. 291- 304 ,(2000) , 10.1023/A:1008174116461
Boaz Golany, Sten Thore, Restricted best practice selection in DEA: An overview with a case study evaluating the socio-economic performance of nations Annals of Operations Research. ,vol. 73, pp. 117- 140 ,(1997) , 10.1023/A:1018916925568
S Lozano, G Villa, Determining a sequence of targets in DEA Journal of the Operational Research Society. ,vol. 56, pp. 1439- 1447 ,(2005) , 10.1057/PALGRAVE.JORS.2601964
Mohsen Khodakarami, Amir Shabani, Reza Farzipoor Saen, A new look at measuring sustainability of industrial parks: a two-stage data envelopment analysis approach Clean Technologies and Environmental Policy. ,vol. 16, pp. 1577- 1596 ,(2014) , 10.1007/S10098-014-0733-8
Shaneth A. Estrada, Hee Seok Song, Young Ae Kim, Su Hyeon Namn, Shin Cheol Kang, A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection Expert Systems With Applications. ,vol. 36, pp. 11595- 11604 ,(2009) , 10.1016/J.ESWA.2009.03.035
Sungmook Lim, Hyerim Bae, Loo Hay Lee, A study on the selection of benchmarking paths in DEA Expert Systems With Applications. ,vol. 38, pp. 7665- 7673 ,(2011) , 10.1016/J.ESWA.2010.12.148
Lawrence M. Seiford, Joe Zhu, Context-dependent data envelopment analysis—Measuring attractiveness and progress Omega-international Journal of Management Science. ,vol. 31, pp. 397- 408 ,(2003) , 10.1016/S0305-0483(03)00080-X
Mithun J. Sharma, Song Jin Yu, Performance based stratification and clustering for benchmarking of container terminals Expert Systems with Applications. ,vol. 36, pp. 5016- 5022 ,(2009) , 10.1016/J.ESWA.2008.06.010
Mithun J. Sharma, Song Jin Yu, Benchmark optimization and attribute identification for improvement of container terminals European Journal of Operational Research. ,vol. 201, pp. 568- 580 ,(2010) , 10.1016/J.EJOR.2009.03.021
Thomas R. Sexton, Richard H. Silkman, Andrew J. Hogan, Data Envelopment Analysis: Critique and Extensions New Directions for Program Evaluation. ,vol. 1986, pp. 73- 105 ,(1986) , 10.1002/EV.1441