A study on the selection of benchmarking paths in DEA

Lim, Sungmook; Bae, Hyerim; Lee, Loo Hay

doi:10.1016/j.eswa.2010.12.148

Cited by 53 publications

(27 citation statements)

References 19 publications

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“…The context-dependent DEA (CD-DEA), originally introduced by Seiford and Zhu [26], is a well-known extension on standard DEA. The CD-DEA, consisting of stratification procedure, attractiveness measure, and progress measure, has proven a helpful method to construct the benchmark-learning pathway for inefficient DMUs [27,28]. Through the benchmark-learning pathway, inefficient DMUs can stepwise improve their efficiencies and reach the terminal frontier [29,30].…”

Section: Methodsmentioning

confidence: 99%

A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China

Gao

Shiue

2017

Sustainability

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Sustainability consists of economic, environmental, and societal aspects. Concomitant with China's rapid growth, the evaluation of China's ability for sustainable development (SD) has become a topic of interest. Unlike previous studies that are based on provincial regions and focus on economic and/or environmental evaluations, we have evaluated the comprehensive SD ability of 34 major cities in China using the context-dependent data envelopment analysis (CD-DEA) and proposed benchmark-learning pathways. The results indicate that the SD ability of China's major cities may be classified and ordered from low tiers to high tiers: high energy consumption and polluting industries-intensive industries-fixed asset investments and service industries-innovation, quality of life and societal services industries. As a whole, cities along the coast have a higher ability for SD than inland cities, and southern cities also rate higher than northern cities. Cities that are prioritized by government policies and funding also have higher SD abilities than other cities. We recommend that cities with lower abilities (i.e., cities in the second, third, and fourth tiers) should adopt the following points in their developmental pathways (in this order): the control of energy consumption and environmental pollution, industry upgrading and redevelopment of the city, and the development of an environment that encourages innovation and provides ample employment. This study finds that GDP is no longer an issue that restricts the SD ability of China's major cities, as compared to other factors. As China progresses towards the sustainable cities, focus should be placed on the development of a knowledge-intensive economy, balanced development, and pollution prevention.

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Section: Methodsmentioning

confidence: 99%

A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China

Gao

Shiue

2017

Sustainability

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“…Next, we conducted a comparative experiment with the method proposed by Lim et al (2011) (hereafter called the L-method) to demonstrate the effectiveness of the proposed method. The L-method is regarded as a similar approach to our method in that it was designed to select the optimal benchmarking path considering multiple criteria.…”

Section: Inputsmentioning

confidence: 99%

“…In setting benchmarking goals or strategies, selecting existing units as the benchmark target can be more practical, because the inefficient DMU that wants to improve its efficiency can utilize actual information. On the other hand, selecting hypothetical units as the benchmark target can lead to unrealistic benchmarking in setting benchmarking strategies or implementing the best practice, because learning additional knowledge from hypothetical units is problematic (Lim et al, 2011). For this reason, in the present study, only existing units were considered as benchmark targets.…”

Section: Introductionmentioning

confidence: 99%

“…Sharma and Yu (2009) proposes a combined data mining/DEA model as a diagnostic tool that can effectively measure the efficiencies of inefficient terminals and prescribe a stepwise projection to reach the frontier in accordance with their maximum capacity and similar input properties. Lim et al (2011) advocated, for stepwise benchmark target selection, the use of the attractiveness and progress measures of context-dependent DEA along with the consideration of feasibility. While their approach employs some optimization criteria for choosing targets, it seeks to select only locally optimal targets, and thus does not assure a globally optimal target sequence.…”

Section: Introductionmentioning

confidence: 99%

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An Optimization Approach to the Construction of a Sequence of Benchmark Targets in DEA-Based Benchmarking

Park¹,

Lim

Bae³

2014

Journal of Korean Institute of Industrial Engineers

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DEA 기반 벤치마킹에서의 효율성 개선 경로 선정을 위한 최적화 접근법에 관한 연구Stepwise efficiency improvement in data envelopment analysis (DEA)-based benchmarking is a realistic and effective method by which inefficient decision making units (DMUs) can choose benchmarks in a stepwise manner and, thereby, effect gradual performance improvement. Most of the previous research relevant to stepwise efficiency improvement has focused primarily on how to stratify DMUs into multiple layers and how to select immediate benchmark targets in leading levels for lagging-level DMUs. It can be said that the sequence of benchmark targets was constructed in a myopic way, which can limit its effectiveness. To address this issue, this paper proposes an optimization approach to the construction of a sequence of benchmarks in DEA-based benchmarking, wherein two optimization criteria are employed : similarity of input-output use patterns, and proximity of input-output use levels between DMUs. To illustrate the proposed method, we applied it to the benchmarking of 23 national universities in South Korea.

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“…The proposed model derives multiple efficient frontiers for identifying the performance factors that differentiate inefficient DMUs. Lim et al [12] advocated, for stepwise benchmark target selection, the use of the attractiveness and progress measures of context-dependent DEA along with the consideration of feasibility. In the proposed algorithm, it searches to select only local solutions, and thereby it does not guarantee a global optimum.…”

Section: Introductionmentioning

confidence: 99%

Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection

Park

Sung

2016

Sustainability

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Abstract: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 in a stepwise manner. We propose, for the construction of a benchmarking network (i.e., a network structure consisting of an alternative sequence of benchmark targets), an approach that integrates the cross-efficiency DEA, K-means clustering and context-dependent DEA methods to minimize resource improvement pattern inconsistency in the selection of the intermediate benchmark targets (IBTs) of an inefficient DMU. The specific advantages and overall effectiveness of the proposed method were demonstrated by application to a case study of 34 actual container terminal ports and the successful determination of the stepwise benchmarking path of an inefficient DMU.

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A study on the selection of benchmarking paths in DEA

Cited by 53 publications

References 19 publications

A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China

A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China

An Optimization Approach to the Construction of a Sequence of Benchmark Targets in DEA-Based Benchmarking

Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection

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