Evaluation of the components of intelligence and greenness in Iranian ports based on network data envelopment analysis (DEA) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esmaeil Sadri ◽  
Fatemeh Harsej ◽  
Mostafa Hajiaghaei-Keshteli ◽  
Jafar Siyahbalaii

Purpose Creating green ports, while observing international and international standards and maritime conventions and regulations and moving toward smart ports, can increase the speed of goods transfer, enable the tracking of ships and goods, increase the transparency of statistics, increase the quality and capacity of ports and reduce costs. Hence, the purpose of this study the development and evaluation of ports play a key role in their commercial success. Development policies can be formulated for these ports by properly evaluating their performance indicators. On the other hand, traditional methods of performance evaluation cannot provide a good multidimensional evaluation of the status of ports. Design/methodology/approach More than 90% of the world’s heavy transit today is carried out by the sea. With this volume of freight, transit accidents are inevitable for ships passing through oceans, seas, waterways, rivers, ports and mooring at docks. Besides, gases from ships’ fuels at sea, especially in ports, oil spills due to maritime incidents, the negligence of the ship’s crew, the use of port equipment, dirty fuel of diesel power substations, etc., have increased greenhouse gases, polluted the environment and endangered human lives. Findings A new approach has been introduced in the field of port performance evaluation based on the components of greenness and intelligence. This approach performs evaluations in two stages and a network. In this study, the performance of 11 Iranian ports was evaluated based on the network data envelopment analysis approach in 2 stages of greenness and intelligence during 4 years. The results indicated that only 5% of the ports meet the standards of intelligence and greenness. Originality/value On the other hand, as shown in the above studies, the issue of green ports is directly related to the development of animal and plant ecosystems in the seas and the environment around ports. The presence of pollution in the ports has caused the animal and plant habitats around the ports to face a complete pollution crisis or to be completely destroyed. Therefore, the development of green port concepts in third world countries will help prevent environmental pollution of the seas. Therefore, it is necessary for ports to review their strategic maritime transport model and use the development of green port indicators in their implementation processes. Therefore, the strategic development of green ports is created to create and benefit from the components of intelligence, and as mentioned in previous research, intelligence and greenness are in line and the lack of development of one of the concepts causes defects in others. According to reports provided in Iran’s maritime transport systems, most accidents have led to environmental disasters during the absence of intelligent equipment. The use of smart technologies prevents all environmental damage and the development of port services. On the other hand, in evaluating the published articles in the field of development of green and smart ports, so far, the components of intelligence and greenness have not been evaluated and analyzed in a practical and operational way in ports and only the influencing the development of agents on each other has been done (Chen, 2019). Therefore, evaluating the efficiency of ports based on green components and intelligence causes ports to fundamentally review their executive infrastructure and take an active part in the global green development plan.

2018 ◽  
Vol 31 (4) ◽  
pp. 492-509 ◽  
Author(s):  
Berna Simsek ◽  
Fatih Tüysüz

Purpose The purpose of this paper is to present a methodology which enables to measure and analyze the performance of sub-process and overall system of a cargo company. Design/methodology/approach Network data envelopment analysis method with fuzzy data is used for performance measurement which considers the sub-process efficiency simultaneously together with the overall efficiency and also the uncertainty included in input–output data. Findings A real-life application of the proposed model is presented for Turkey. The application results show the efficiency scores of ten branches according to each sub-process and also the overall system. Although the obtained results are case specific, the application results indicate that the inefficient branches can achieve efficiency either by decreasing circulation ratio input for human resources sub-process or by increasing closed complaint output or by decreasing open complaint output for customer relationship management sub-process. Originality/value The study presented provides insights into the performance measurement applications in cargo sector. The methodology presented provides the flexibility of removing or adding some new sub-processes and also decision-making units which enables the approach to be used for other performance evaluation problems.


InterConf ◽  
2021 ◽  
pp. 63-71
Author(s):  
Ulvi Yagubov Makhdut

In this study, the Azerbaijani banking sector was researched for the post-COVID19 period. On the other hand, data envelopment analysis method and models were also learned. In this paper, we analyzed the top 10 banks of Azerbaijan in terms of assets for 2021 and as a result of the study, 4 banks are efficient and 6 banks are not. The analysis was carried out using the Data Envelopment Analysis method for the 3rd half of 2021 based on the data of the five largest banks for total assets in the Azerbaijan. In this analysis, we used the CCR (Charnes Cooper Rhodes) model of the Data Envelopment Analysis method with the DEA Solver application. As a result of the analysis, 4 banks were efficiency 6 banks were found to be inefficiency and target points were identified for inefficiency banks.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Ibrahim Alnafrah

AbstractThe very limited studies that tried to measure the efficiency of national innovation systems (NISs) in BRICS economies were limited to the assumption that the innovation process at national level consists of one stage only and got different and conflicting results. Therefore, this study endeavours to measure the efficiency of sub-processes within the BRICS’s NISs and identify where the system failure lies in each NIS. Bias-corrected network data envelopment analysis (DEA) is used to measure the efficiency of total NIS and the efficiency of the other sub-processes within the system: (1) knowledge production process (KPP), and (2) knowledge commercialization process (KCP). The results showed that NISs in BRICS economies suffer from low performance in commercializing their outputs of universities and research organizations. While, on the other hand, their performance in creating scientific and technical knowledge is good in comparison to other studied countries. We suggest that the reason behind this imbalance is the network system failure associated with weak institutions and high uncertainty in the economy. In this study, we argue that the problem in BRICS NISs is not a problem of resources, but it is a problem of system management and institutions. Some bridging policies are suggested to be adopted by BRICS economies to improve their innovation performance and overcome the system failure of weak links between universities and industry.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hadi Shabanpour ◽  
Saeed Yousefi ◽  
Reza Farzipoor Saen

PurposeThe objective of this research is to put forward a novel closed-loop circular economy (CE) approach to forecast the sustainability of supply chains (SCs). We provide a practical and real-world CE framework to improve and fill the current knowledge gap in evaluating sustainability of SCs. Besides, we aim to propose a real-life managerial forecasting approach to alert the decision-makers on the future unsustainability of SCs.Design/methodology/approachIt is needed to develop an integrated mathematical model to deal with the complexity of sustainability and CE criteria. To address this necessity, for the first time, network data envelopment analysis (NDEA) is incorporated into the dynamic data envelopment analysis (DEA) and artificial neural network (ANN). In general, methodologically, the paper uses a novel hybrid decision-making approach based on a combination of dynamic and network DEA and ANN models to evaluate sustainability of supply chains using environmental, social, and economic criteria based on real life data and experiences of knowledge-based companies so that the study has a good adaptation with the scope of the journal.FindingsA practical CE evaluation framework is proposed by incorporating recyclable undesirable outputs into the models and developing a new hybrid “dynamic NDEA” and “ANN” model. Using ANN, the sustainability trend of supply chains for future periods is forecasted, and the benchmarks are proposed. We deal with the undesirable recycling outputs, inputs, desirable outputs and carry-overs simultaneously.Originality/valueWe propose a novel hybrid dynamic NDEA and ANN approach for forecasting the sustainability of SCs. To do so, for the first time, we incorporate a practical CE concept into the NDEA. Applying the hybrid framework provides us a new ranking approach based on the sustainability trend of SCs, so that we can forecast unsustainable supply chains and recommend preventive solutions (benchmarks) to avoid future losses. A practicable case study is given to demonstrate the real-life applications of the proposed method.


Author(s):  
Surakiat Parichatnon ◽  
Kamonthip Maichum ◽  
Ke-Chung Peng

<div><p><em>The purpose of this paper is to investigate and measure the technical efficiency of durian production in each province of Thailand using the data envelopment analysis (DEA) during the period 2012-2016. The findings indicate that the technical efficiency of Thai durian production revealed favorable results from 2012 to 2016 but still needs to be improved since the technical efficiency score is not close to 1.000. On the other hand, Chanthaburi province had the highest mean efficiency score and was recognized as the best province for Thai durian production. Moreover, the study found that Phuket province had lowest mean technical efficiency score of Thai durian production, which therefore should be increased the quantity of the outputs and inputs. Therefore, the results of this study can provide important information to farmers, agricultural planners and government agencies to help increase the technical efficiency levels of durian production in Thailand.</em></p></div>


2019 ◽  
Vol 18 (03) ◽  
pp. 1009-1043 ◽  
Author(s):  
Bo Hsiao ◽  
Li-Hsueh Chen

This study proposes an alternative method for evaluating the overall performance of hospitals in Taiwan. Specifically, three types of hospital activities, medical, pharmaceutical, and rehabilitation, are classified and connected using the parallel method. To bridge the difference between the performance evaluation methods adopted in hospitals and the evaluation method adopted by traditional enterprises, each activity is divided into two serial-type connected processes, which are the production and service processes. This study analyzes the performance of the six processes in three types of activities of three levels of hospitals, namely medical centers, regional hospitals, and district hospitals, by using multi-activity network data envelopment analysis (MNDEA) in Taiwan in 2012. The average overall efficiency was 0.41, while the average estimated efficiency for medical, pharmaceutical, and rehabilitation activities was 0.62, 0.34, and 0.27, respectively. At the hospital level, the average efficiency for medical centers, regional hospitals, and district hospitals was 0.59, 0.49, and 0.35, respectively. The production processes of medical and rehabilitation activities in Taiwan have higher average efficiency than their service processes, while the production processes of pharmaceutical activity have lower average efficiency than its service processes. These results provide a reference for upgrading the operation and management strategies for all hospitals in the country.


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