Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model

Lee, Pei Fun; Siew, Lam Weng; Lam, Weng Hoe

doi:10.3390/math11030718

Cited by 10 publications

(6 citation statements)

References 68 publications

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“…This unique approach allowed them to evaluate the operational efficiency of the world's top 40 container ports over five consecutive years, focusing on two key dimensions: productivity and profitability. Lee et al (2023) [51] used the DEA model to rigorously evaluate the efficiency of logistics companies. Their aim was not only to assess performance but also to identify potential areas of improvement for those logistics companies that were found to be operating inefficiently.…”

Section: Relationship Between Carbon Emissions and Freight Efficiencymentioning

confidence: 99%

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

Li,

Zheng,

Liu

et al. 2024

Sustainability

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Road freight transport, an essential component of the logistics sector, faces challenges: high cost, low efficiency, and environmental impact. The need has become urgent to achieve a synergistic balance between low-carbon and high-efficiency development. This study used a three-stage DEA–Malmquist index model to analyze the road freight efficiency of Wuhan and 16 other cities in China from 2015 to 2020, and we compared Wuhan’s performance with its peers. In addition, grey correlation analysis was used to evaluate the low-carbon development of urban road freight transport in Wuhan. Through the calculation of the degree of synergy between low-carbon development and freight transport efficiency, this study provides insights into the synergistic development of low-carbon and efficient road freight transport in Wuhan. The key findings show that the total factor productivity of road freight transport in Wuhan was generally on a downward trend from 2015 to 2020, and was lower than that of the average of the 17 selected Chinese cities. The carbon emissions of road freight transport in Wuhan inversely related to its scale efficiency. This study also points out that the synergy between low-carbon development and the economic efficiency of road freight transport in Wuhan is not high and needs to be further integrated and optimized.

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Section: Relationship Between Carbon Emissions and Freight Efficiencymentioning

confidence: 99%

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

Li,

Zheng,

Liu

et al. 2024

Sustainability

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“…In their investigation of logistics companies' performance, ref. [14] focuses on optimizing operational efficiency within listed logistics companies in Malaysia. This study acknowledges the significance of operational risks in influencing these companies' performance and overall success.…”

Section: Port Analysis and Performance Evaluationsmentioning

confidence: 99%

“…The statistical significance of the port externality effects in relation to the port performance (effect size) of the models are compared. Finally, using Pearson's and Spearman's correlations and scatterplots, we assess how closely related the effects of port externalities to port performance are for each year, as shown in Equations ( 12)- (14).…”

Section: Application Of Cva Modelmentioning

confidence: 99%

Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model

Kunambi,

Zheng

2024

Logistics

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Background: This research conducts a contextual comparative analysis between Dar es Salaam and Mombasa ports, employing a hybrid data envelopment analysis (DEA) model that integrates the contextual value-added approach (CVA). The assessment incorporates various inputs (quay length, number of cranes, and storage area) and outputs (number of ship calls and cargo throughput) to compute efficiency scores, offering nuanced insights into the strengths, weaknesses, and areas for improvement of both ports. Methods: The hybrid DEA model with CVA is applied to calculate efficiency scores, considering the diverse inputs and outputs. This approach allows for a comprehensive evaluation of the relative performance of Dar es Salaam and Mombasa ports. The study also explores the influence of trade-related externalities on port efficiency, providing a holistic understanding of the factors shaping the ports’ operational effectiveness. Results: The efficiency scores depict distinctive performance trends between Dar es Salaam and Mombasa ports. Notably, Dar es Salaam exhibits maximum efficiency (efficiency value of 1) in 2018 and 2021, while Mombasa attains optimal performance (efficiency value of 1) in 2021. However, efficiency values fluctuate for both ports in other years, ranging between 0.895 and 0.985 for Mombasa and 0.924 and 0.960 for Dar es Salaam. Conclusions: This study highlights the dynamic efficiency levels of Dar es Salaam and Mombasa ports over multiple years and identifies critical factors influencing their performance. The findings contribute valuable insights to the field of port analysis, offering guidance to port management and policymakers in optimizing the efficiency and competitiveness of these vital maritime hubs.

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“…Other properties studied include the consistency and speed of convergence of the DEA estimators [13], which is deeply related to the problem of the curse of dimensionality, which results in too many units being considered efficient when the number of dimensions is large, relative to the number of units available. Some recent contributions to the DEA literature are [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…The results for scenarios (16a)-(16d), i.e., those production functions with m = 6 can be observed in Table 5, while those corresponding to scenarios (15a) and (15d), that is, with m = 4, are presented in Table 6. The results from scenarios with m = 2 according to the value of γ, that is, with production functions (14), are summarized in Figure 2. We can observe that the values of the exponents highly affect the quality of the rankings, where the larger the difference between two consecutive exponents, the smaller the confusion between them.…”

mentioning

confidence: 99%

Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques

2023

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In this paper, we propose and compare new methodologies for ranking the importance of variables in productive processes via an adaptation of OneClass Support Vector Machines. In particular, we adapt two methodologies inspired by the machine learning literature: one involving the random shuffling of values of a variable and another one using the objective value of the dual formulation of the model. Additionally, we motivate the use of these type of algorithms in the production context and compare their performance via a computational experiment. We observe that the methodology based on shuffling the values of a variable outperforms the methodology based on the dual formulation. We observe that the shuffling-based methodology correctly ranks the variables in 94% of the scenarios with one relevant input and one irrelevant input. Moreover, it correctly ranks each variable in at least 65% of replications of a scenario with three relevant inputs and one irrelevant input.

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Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model

Cited by 10 publications

References 68 publications

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model

Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques

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