Assessment of port efficiency using stepwise selection and window analysis in data envelopment analysis

Seth, Sonal; Feng, Qianmei

doi:10.1057/s41278-020-00155-6

Cited by 12 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such differences may lead to erroneous improvement directions and complications in the decision-making process. Consequently, in step 4, the defuzzified values of the optimal TE and PTE, θ * j and δ * j , respectively, were calculated using Equations ( 23) and (24), respectively. From Table 7, the optimal TE is found to be smaller than one for all DMUs.…”

Section: Dmu Period Tmentioning

confidence: 99%

“…The TE, PTE, and SE of a DMU in any period can then be estimated using the inputs and outputs of the same DMU in other periods as well as those of other DMUs. The window analysis was applied to evaluate process efficiency under crisp input and output data in a wide range of manufacturing and service applications [21][22][23][24][25]. In manufacturing systems, however, variations in process and measurement result in asymmetry data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Proposed DEA Window Analysis for Assessing Efficiency from Asymmetry Dynamic Data

Al-Refaie,

Lepkova

2023

Symmetry

View full text Add to dashboard Cite

Nowadays, one of the main challenges facing production management is how to enhance the performance of manufacturing processes by utilizing asymmetry input and output data. This research, therefore, developed a framework for window analysis in data envelopment analysis (DEA) for evaluating the overall technical efficiencies from asymmetry dynamic input and output data. The framework was applied to assess the technical (TE), managerial (PTE), and scale (SE) efficiencies of a blowing machine under three fuzzy input variables (planned production quantity, number of defectives, and idle time) and a fuzzy output variable (actual or target production quantity). The efficiency measures were then evaluated for all DMUs at low (L), middle (M), and high (H) data levels. The obtained optimal fuzzy efficiencies were then transformed into a single crisp optimal efficiency. The results showed that all seven DMUs of the blowing machine were technically inefficient. The input and output slacks were estimated and utilized to determine the necessary improvement actions. Improvement results revealed that the optimal TE, PTE, and SE were significantly improved, which may result in significant savings in production and quality costs. In conclusion, the proposed framework is effective in improving the efficiency of the blowing process and can be utilized for efficiency assessment in a wide range of applications.

show abstract

Section: Dmu Period Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Proposed DEA Window Analysis for Assessing Efficiency from Asymmetry Dynamic Data

Al-Refaie,

Lepkova

2023

Symmetry

View full text Add to dashboard Cite

show abstract

“…Data Envelopment Analysis (DEA) is one of the most widely used nonparametric methods. Seth and Feng [ 42 ] used the DEA method to evaluate the efficiency changes of 15 container ports in the United States. Barros [ 43 ] introduced the Malmquist index on the basis of the DEA to analyze the technical efficiency of five Portuguese seaports in 1999–2000.…”

Section: Literature Reviewmentioning

confidence: 99%

Green TFP Heterogeneity in the Ports of China’s Pilot Free Trade Zone under Environmental Constraints

Lan

2021

IJERPH

View full text Add to dashboard Cite

In the context of China’s Pilot Free Trade Zone (FTZ), ports have a new opportunity to realize high-quality development. Based on the analysis of the current situation of pollutant emissions from ports in China’s Pilot Free Trade Zones (FTZs), this paper introduces environmental factors into the analysis framework of the total factor productivity (TFP) of ports in China’s FTZs, and uses the Global Malmquist–Luenberger index method to analyze the evolution trend and heterogeneity of green TFP in 28 ports of China’s 19 FTZs from 2011 to 2017. The results show that firstly, the emissions of sulfur dioxide (SO2), nitrogen oxides (NOX) and other pollutants in China’s FTZs have been decreasing year by year. Secondly, both the green TFP and the traditional TFP of the ports in FTZs are on the rise. The absence of environmental factors leads to the underestimation of the TFP of ports. For the green TFP, the main source of its growth is technological progress. Thirdly, there is obvious port heterogeneity in the green TFP of FTZ ports. Nanjing Port has the highest green TFP growth rate, with an average annual growth rate of 21.95%. Ningbo Port, which ranks 14th, has an average annual growth rate of 5.46%. Fuzhou Port, which is rated last, has negative growth. Fourthly, there is also obvious types and regional heterogeneity in the green TFP of FTZ ports. When categorized by type, the average annual growth rate of green TFP in inland ports is significantly higher than that of coastal ports. When categorized by region, the descending order of the average annual growth rate of green TFP is the western region, the eastern region and the central region. Fifthly, the green TFP differences among the eastern, central, and western regions, as well as between inland ports and coastal ports, are shrinking. Moreover, the green TFP differences within inland ports and coastal ports and within central ports and eastern ports are also shrinking, implying there may be σ convergence. The conclusions of this paper have important implications for the scientific understanding of the heterogeneity of green TFP growth in ports in China’s FTZs, and how to promote the green development of ports in China’s FTZs under environmental constraints.

show abstract

Does the Belt and Road Initiative reduce the green logistics efficiency of partner countries?

Ye,

Feng,

Cao

2024

Ecological Indicators

View full text Add to dashboard Cite

Assessment of port efficiency using stepwise selection and window analysis in data envelopment analysis

Cited by 12 publications

References 34 publications

A Proposed DEA Window Analysis for Assessing Efficiency from Asymmetry Dynamic Data

A Proposed DEA Window Analysis for Assessing Efficiency from Asymmetry Dynamic Data

Green TFP Heterogeneity in the Ports of China’s Pilot Free Trade Zone under Environmental Constraints

Does the Belt and Road Initiative reduce the green logistics efficiency of partner countries?

Contact Info

Product

Resources

About