A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan

Liu, Hsiang-Hsi; Chen, Tser‐Yieth; Chiu, Yung‐ho; Kuo, Fu-Hsiang

doi:10.4236/me.2013.41003

Cited by 28 publications

(9 citation statements)

References 26 publications

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“…The findings were, analyzed using a Cobb-Douglas production function, which helped to determine the individual operating parameters driving variances in farming efficiency. Liu, et al [2013] in this study a three-stage DEA method and artificial neural network (ANN) are, used to assess the technical efficiency of 29 Taiwanese semi-conductor businesses. The estimated results reveal that there are considerable differences in efficiency scores between the DEA, three-stage DEA and ANN analyses.…”

Section: Qingmentioning

confidence: 99%

“…Nevertheless, previous studies conducted by Zhao, et al [2022]; Hu, et al [2021]; Yang and Shang, [2020]; Yangdong, et al [2020]; Hu, et al [2020]; Jun and Jia-xin, [2019]; Parichatnon, et al [2018]; Shuisheng, et al [2017]; Parichatnon, et al [2017]; Oukil and Zekri, [2014]; Shen and Shen, [2013]; Estelle, et al [2010]; Suebpongsakorn. A, [2012]; Estelle, et al [2010]; Qing Yin, et al [2020]; Pan, et al [2022]; Yijia, et al [2015]; Linh, et al [2017]; Ebrahimnejad, et al [2014]; Liu, et al [2013]; Huang, et al [2012]; Estelle et al, [2010] were only available on the efficiency of the three-stage DEA model. The conclusions of these empirical research are addressed further below.…”

Section: Introductionmentioning

confidence: 99%

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The Studies on Efficiency Analysis in Applied Economics Using a Three-Stage Data Envelopment Analysis

2022

Central European Management Journal

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This review work focuses on the utilization of the three-stage DEA model in applied economic research. The review studies were to unearth the tendency of utilization of non-parametric methods, i.e., the three-stage DEA model, in West Africa and some parts of Asia. However, the study revealed that there exists a large body of scholarly works that employ the CCR-Conventional DEA model in their works. Methodologically, extensive google search was the technique used for the literature, and during the process of gathering the literature, studies from Africa were highly minimal, but studies from Asia on a three-stage DEA model were dominant. A broad literature survey for the review revealed that studies on efficiency analysis in applied economic research using frontier methodologies such as a three-stage DEA model were moderately used in empirical studies, particularly in Asia like China. However, the usage of a three-stage data envelopment analysis has a large technical gap. Finally, there is a huge body of research which used traditional DEA that has abandoned the threestage DEA procedures that are limited in use in the African domains. This review work recommends and advocates intensive usage of a three-stage DEA model in efficiency analysis due to its robustness.

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Section: Qingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Studies on Efficiency Analysis in Applied Economics Using a Three-Stage Data Envelopment Analysis

2022

Central European Management Journal

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“…This study evaluated the productivity and efficiency of manufacturing firms listed at the Indonesian Stock Exchange. Liu, Chen, Chiu, and Kuo (2013) applied DEA, three-stage DEA (3SDEA), and artificial neural network (ANN) to measure the technical efficiency of 29 semi-conductor firms in Taiwan. Huang, Chiu, Ting, and Lin (2012) used the hybrid DEA model, in which the proportionate inputs are evaluated with a radial measure, and the nonproportionate inputs are evaluated with a nonradial measure in order to evaluate the impact of marketing expense on the efficiency of Taiwan's international tourist hotels.…”

Section: Previous Studiesmentioning

confidence: 99%

A Frontier Analysis Approach to Analyze the Operating Efficiency of Cable and Satellite Companies in the United States

Malhotra¹,

Malhotra²,

Campbell³

2015

Applications of Management Science

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“…Athanassopoulos and Curram first introduced the idea of the combination of neural networks (NNs) and DEA for classification and/or prediction. Other papers that presented the benefits of combining DEA and NN are Liu et al, Liao et al, Santin, Santin et al and Wang . Azadeh et al proposed a highly unique flexible ANN algorithm to measure and rank scores of Iranian steam power.…”

Section: Introductionmentioning

confidence: 99%

Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning

Tayal

Köse

Solanki

et al. 2019

Computational Intelligence

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The facility layout problem (FLP) is a combinatorial optimization problem. The performance of the layout design is significantly impacted by diverse, multiple factors. The use of algorithmic or procedural design methodology in ranking and identification of efficient layout is ineffective. In this context, this study proposes a three‐stage methodology where data envelopment analysis (DEA) is augmented with unsupervised and supervised machine learning (ML). In stage 1, unsupervised ML is used for the clustering of the criteria in which the layouts need to be evaluated using homogeneity. Layouts are generated using simulated annealing, chaotic simulated annealing, and hybrid firefly algorithm/chaotic simulated annealing meta‐heuristics. In stage 2, the nonparametric DEA approach is used to identify efficient and inefficient layouts. Finally, supervised ML utilizes the performance frontiers from DEA (efficiency scores) to generate a trained model for getting the unique rankings and predicted efficiency scores of layouts. The proposed methodology overcomes the limitations associated with large datasets that contain many inputs / outputs from the conventional DEA and improves the prediction accuracy of layouts. A Gaussian distribution product demand dataset for time period T = 5 and facility size N = 12 is used to prove the effectiveness of the methodology.

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A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan

Cited by 28 publications

References 26 publications

The Studies on Efficiency Analysis in Applied Economics Using a Three-Stage Data Envelopment Analysis

The Studies on Efficiency Analysis in Applied Economics Using a Three-Stage Data Envelopment Analysis

A Frontier Analysis Approach to Analyze the Operating Efficiency of Cable and Satellite Companies in the United States

Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning

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