A comparison of the robust conditional order-m estimation and two stage DEA in measuring healthcare efficiency among California counties

Gearhart, Richard; Michieka, Nyakundi M.

doi:10.1016/j.econmod.2018.04.015

Cited by 24 publications

(9 citation statements)

References 34 publications

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“…These robust nonparametric production frontier methods, i.e. order-m and Z-order-m, were extensively used in different applications, including production risk (Serra & Lansink, 2014), wastewater treatment plants (Guerrini et al, 2016) and health care (Gearhart & Michieka, 2018), etc.…”

Section: Order-m and Z-order-m Methodsmentioning

confidence: 99%

A Novel Decision-Making Model for Selecting a Construction Project Delivery System

Zhu

Meng

Chen

2020

Journal of Civil Engineering and Management

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It is crucial for the owner of a construction project to select an appropriate project delivery system (PDS) during early decision-making stages of the project. Due to project uncertainty or a lack of project information, the parameters of a PDS are difficult to measure and quantify. Therefore, there are still major challenges to the objective selection of PDSs. This research proposes a novel systematic decision-making model to select the appropriate PDS by using the combination of case-based reasoning (CBR) and robust nonparametric production frontier method. The Bayesian-Structural Equation Modeling (SEM) supported Z-order-m method is interpreted into the case retrieves process of traditional CBR method in order to eliminate the deteriorative internal and external influence for PDS selection. The case study was based on questionnaire survey conducted in China and used to test the validation of the proposed model. The findings reveal that the systematic decision-making model can overcome some problems of the traditional methods and improve the accuracy of PDS selection. As a result, this research has both theoretical and practical implications for the construction industry.

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Section: Order-m and Z-order-m Methodsmentioning

confidence: 99%

A Novel Decision-Making Model for Selecting a Construction Project Delivery System

Zhu

Meng

Chen

2020

Journal of Civil Engineering and Management

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“…Jola‐Sanchez et al (2016) took the DEA model to collect data from 163 hospitals from 2007 to 2011 and explored that armed conflict has a significant impact on the efficiency of Colombia's public rural hospitals. Gearhart and Michieka (2018) used the two‐stage DEA model to study the obesity rate, unemployment rate, and preventable hospitalization rate, which have a significant impact on hospital efficiency. Ho and Huang (2020) used the two‐stage DEA model to discuss the impact of marketing capabilities on hospital performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some studies also have discussed the factors affecting hospital performance, including Puig‐Junoy (2000); Aletras et al (2007); Kazley and Ozcan (2009); Alonso et al (2015); Chu et al (2015); Gholami, Higón, and Emrouznejad (2015); Ancarani et al (2016); Chowdhury and Zelenyuk (2016); Jola‐Sanchez et al (2016); Gearhart and Michieka (2018); Ho and Huang (2020); Amos, Au‐Yong, and Musa (2021); and Alolayyan et al (2020), or have assessed the effectiveness of service quality on hospital operations, such as O'Neill, Rauner, Heidenberger, and Kraus (2008); Chang et al (2011); Gok and Sezen (2013); Lindlbauer et al (2016); Ferreira and Marques (2019); and Veneklaasa et al (2020).…”

Section: Introductionmentioning

confidence: 99%

Analyzing hospital medical efficiency of administration and medical treatment in China

Chiu

Chang

et al. 2021

Manage Decis Econ

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Previous studies have mostly focused on the operation management efficiency of medical institutions, but the efficiency levels of treatment and medical personnel are rarely considered simultaneously. Therefore, this paper uses the Modified Undesirable Meta‐two‐stage Dynamic data envelopment analysis (DEA) model to evaluate the efficiency of the administration and the treatment stage of 31 provincial medical and health institutions in China. The research results are as follows: (1) the group average efficiency of the high GDP region is better than the low GDP region after dynamic intertemporal impacts, and (2) most of region's administration stage efficiency is superior to the treatment stage efficiency.

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“…The traditional DEA model assumes that the internal structure of the system is a black box. The efficiency of complex systems cannot be accurately determined, so a two-stage DEA approach has emerged [43], [44]. The existing two-stage DEA is primarily used to measure the efficiency and efficiency decomposition of the entire system.…”

Section: Two-stage Deamentioning

confidence: 99%

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

2020

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Effective disassembly of obsolete products is critical for remanufacturing, recycling and recycling. However, existing disassembly studies have few or no resource constraints, such as limited numbers of disassembly operators and tools. Two-stage disassembly model is used to improve the flexibility to adapt to remanufacturing market demand. Based on existing references, this paper establishes a multiobjective two-stage disassembly model based on two-stage data envelopment analysis (two-stage DEA). The resource-constructed two-stage DEA model in this paper fully considers the dynamic configuration information of the output factors in each stage. To avoid the problem where the overall efficiency is optimal, the research constructs a resource constrained efficiency two-stage disassembly model. First, with the goal of minimum disassembly time, economy, energy consumption and environment, this study proposes eNSGA-II. By using mixed mutation and ecological evolution strategies, a well-distributed noninferior solution set is obtained. Second, the group of 16 disassembly schemes is used as decision-making units (DMUs) of the two-stage DEA. A comparison with Chen's model rankings shows that the model in this paper performs better. DMU 6 has the highest efficiency ranking, which is the best disassembly solution. Finally, the effectiveness of the proposed algorithm is verified by examples. Compared with NSGA-II and SPEA-II, eNSGA-II shows better performance and effectiveness. INDEX TERMS Disassembly, eNSGA-II, remanufacturing, resource constrained, two-stage DEA.

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A comparison of the robust conditional order-m estimation and two stage DEA in measuring healthcare efficiency among California counties

Cited by 24 publications

References 34 publications

A Novel Decision-Making Model for Selecting a Construction Project Delivery System

A Novel Decision-Making Model for Selecting a Construction Project Delivery System

Analyzing hospital medical efficiency of administration and medical treatment in China

Multiobjective Ecological Strategy Optimization for Two-Stage Disassembly Line Balancing With Constrained-Resource

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