scholarly journals Efficiency Assessment of Seaport Terminal Operators Using DEA Malmquist and Epsilon-Based Measure Models

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 48
Author(s):  
Chia-Nan Wang ◽  
Ngoc-Ai-Thy Nguyen ◽  
Hsin-Pin Fu ◽  
Hsien-Pin Hsu ◽  
Thanh-Tuan Dang
Keyword(s):  
Industrial Development ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Shipping Industry ◽  
Maritime Industry ◽  
Managerial Implication ◽  
Integral Role ◽  
Marine Economy ◽  
Container Ports ◽  
Operational Efficacy

Today, over 80% of global trade is seaborne. In a world of global supply chains and complex industrial development processes, seaports and port operators play an integral role of utmost importance and act as an incentive to the development of the marine economy and particularly, the national economy in general. Most importantly, the supply chain and demand shocks of Covid-19 on container ports and the container shipping industry have intensified competition among terminal operators. Thus, it is imperative that managers evaluate competitiveness by measuring their past and current performance efficiency indexes. In so doing, we present a hybrid data envelopment analysis (DEA) model that combines the DEA Malmquist method and the epsilon-based measure (EBM) for the first time to address the issue of performance evaluation of seaport terminal operators. The applicability of the proposed hybrid approach is illustrated with a case study of the top 14 seaport companies in Vietnam. First, the Malmquist model is used to assess the total productivity growth rates of the companies, and its decomposition into technical efficiency change (catch-up) and technological investment (frontier-shift). Second, the EBM model is used to calculate the efficiency and inefficiency score of each company. Besides indicating the best-performing companies from certain aspects during the research period (2015–2020), the results reflect that the gap of applying the EBM method in the field of the maritime industry was successfully addressed, and together with the Malmquist model, the integrated framework can be an effective and equitable evaluation model for any area. Furthermore, the managerial implication provides a useful guideline for practitioners in the maritime sector in improving their operational efficacy and helps customers in selecting the best seaport companies in the outsourcing strategy.

scholarly journals Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives

2017 ◽  
Author(s):  
Kao-Yi Shen ◽  
Min-Ren Yan ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Financial Performance ◽  
Soft Computing ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
High Tech ◽  
Computing Technique ◽  
Business Sustainability ◽  
Soft Computing Technique ◽  
Dual Objectives

The influence and importance of research and development (R&D) for business sustainability have gained increasing interests, especially in the high-tech sector. However, the efforts of R&D might cause complex and mixed impacts on the financial results considering the associated expenses. Thus, this study aims to examine how R&D efforts may influence business to improve its financial performance considering the dual objectives: the gross and the net profitability. This research integrated a rough-set-based soft computing technique and multiple criteria decision-making (MCDM) methods to explore this complex and yet valuable issue. A group of public listed companies from Taiwan, all in the semiconductor sector, was analyzed as a case study. Initially, more than 30 variables were considered, and the adopted soft computing technique retrieved 14 core attributes—for the dual profitability objectives—to form the evaluation model. The importance of R&D for pursuing superior financial prospects is confirmed, and the empirical case demonstrates how to guide an individual company to plan for improvements to achieve its long-term sustainability by this hybrid approach.

Data Analysis in the Shipping Industry

2021 ◽  
pp. 381-400
Author(s):  
Marcel Kyas ◽  
Joshua D. Springer ◽  
Jan Tore Pedersen ◽  
Valentina Chkoniya
Keyword(s):  
Data Analysis ◽  
Virtual World ◽  
Industrial Revolution ◽  
Data Flow ◽  
Autonomous Systems ◽  
Shipping Industry ◽  
Maritime Industry ◽  
New Era ◽  
Critical Issues ◽  
Machine Communication

This chapter identifies the critical issues that must be addressed to accelerate the digital transition in the chartering market. The maritime industry is one of the pillars of global trade, where change is a constant. Again, shipping is at the cusp of a new era—one driven by data. The authors review the state-of-the-art technology that is useful to automate chartering processes. · The Fourth Industrial Revolution (or Industry 4.0) starts to change the bulk shipping markets leveraging the data flow between industrial processes in the physical and virtual world. · The internet of things accelerates data flow from things in the real world to the virtual world and enables us to control processes in real-time. Machine-to-machine communication, together with artificial intelligence, creates autonomous systems in many areas of production and logistics. Based on the gathered elements, eShip's case study was analyzed, and future steps have been defined for the data analysis in the shipping industry.

Implementation of 5G Communication Network for a Safe Operation of Autonomous and Conventional Ships

2020 ◽  
Vol 51 ◽  
pp. 229-248
Author(s):  
Abdelmoula Ait Allal ◽  
Loubna El Amrani ◽  
Abdelfatteh Haidine ◽  
Khalifa Mansouri ◽  
Mohamed Youssfi
Keyword(s):  
Data Exchange ◽  
Data Rate ◽  
Base Stations ◽  
Low Latency ◽  
Shipping Industry ◽  
Maritime Industry ◽  
Communication Service ◽  
Safe Operation ◽  
The Future ◽  
Maritime Communication

The enhanced automation of the shipping industry has increased the demand of real data exchange. The ship-owners are looking more and more to optimize the operational cost of ship, to monitor remotely the cargo and to ensure a satisfactory level of safety and security, in compliance with the international maritime organization requirements. As per international convention for the safety of life at sea requirements, a conventional ship must carry a global maritime distress safety system, depending on the sea areas where it is operating. We assume that assuring a reliable communication service in the shipping industry is a challenging issue, in an era of internet of things and the need for a ship to be continuously connected to its ecosystem. This connectivity should be with a high data rate transmission. However, the future implementation of autonomous ship beside the existing conventional ship as an alternative for a sustainable maritime industry, requires the implementation of a reliable and cost-effective communication carrier, capable to transfer operational data on live basis from ship-to-ship and from ship-to-shore without interruption with a very low latency. To achieve this goal, we propose in this work, the implementation of 5G network as a maritime communication carrier, using unmanned aerial vehicle base stations, which are placed at optimum positions. This placement results in a maximization of uplink and downlink communication data rate, low latency and efficient optimization of transmission power. These make of 5G a potential maritime communication service carrier, capable to support the safe operation of deep-sea conventional vessels and the future deployment of autonomous ships.

scholarly journals Restructuring seafarers’ welfare under the Maritime labour convention: an empirical case study of Greece

2020 ◽  
Vol 5 (4) ◽  
pp. 373-389
Author(s):  
Pengfei Zhang ◽  
Lijun Zhao ◽  
Olga Vata ◽  
Sriram Rajagopal
Keyword(s):  
Social Security ◽  
Supply And Demand ◽  
Primary Data ◽  
Shipping Industry ◽  
Maritime Industry ◽  
Content Type ◽  
Social Security Benefits ◽  
World Maritime ◽  
Of Greece

Purpose This paper aims to examine three of the major issues relating to the welfare of seafarers, including wages, social security benefits and onboard and ashore welfare facilities and services. It is impossible to research all countries here, so this paper selects Greece – which is one of today’s primary shipping countries as for shipowning, as well as for global supply and demand for seafarers – to conduct an empirical case study. Design/methodology/approach Based on the existing knowledge and scholarship, and primary data collected in several phases of fieldwork, this paper intends to critically examine three major issues relating to the welfare for Greek seafarers, namely, wages, social security benefits and onboard and ashore welfare facilities and services. Findings This paper finds that they face poor labour conditions, which are getting worse due to the depressed world and Greek economies and intense financial pressures on shipping companies. The entry into force of the Maritime Labour Convention 2006 has a significant impact on the world maritime industry. Research limitations/implications This paper critically examines the three major issues relating to the welfare of Greek seafarers. Originality/value Such issues, which Greece is facing are also common in other countries, so the findings and suggestions revealed from this paper are of importance for the global shipping industry and other states.

scholarly journals Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1370
Author(s):  
Chin-Tsai Lin ◽  
Ching-Chiang Yeh ◽  
Fan Ye
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Law Firms ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Law Firm ◽  
Analytic Hierarchy ◽  
Resource Managers ◽  
Hierarchy Process

This study proposes a novel evaluation model for lawyer selection incorporating the lawyer’s backbone leadership attitude employing the hybrid multi-criteria decision-making (MCDM) approach. In the proposed approach, the lawyer’s backbone leadership attitude is employed as an evaluation factor in the evaluation model for lawyer selection from law firms’ perspective. In this paper, a hybrid approach based on the Delphi technique and analytic hierarchy process (AHP) is proposed to manage qualitative and quantitative criteria for selecting the best alternative lawyer for law firms in China. Finally, a law firm in China is carried out to verify the feasibility of the proposed approach. Based on the result, the backbone leadership does provide valuable information in the evaluation model for lawyer selection. The results also revealed that the proposed approach would help law firms and human resource managers to understand and develop strategies to hire a lawyer.

Research on Developing Route of the New Energy Vehicle Technology in China

2012 ◽  
Vol 512-515 ◽  
pp. 2607-2614 ◽  
Author(s):  
Li Fang Liu ◽  
Yan Jia ◽  
Zhu Qing Wu
Keyword(s):  
Industrial Development ◽  
Evaluation Model ◽  
Energy Resources ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Multidimensional Evaluation ◽  
New Energy ◽  
Vehicle Technology ◽  
New Energy Vehicle ◽  
New Energy Vehicles

In this paper, multidimensional evaluation model is made to select and analysis the new energy vehicles developing direction, namely to maturity, cost, energy resources, pollution and greenhouse gas emissions, energy efficiency and technical characteristics. And the research results show that, China should take the new energy vehicle technology line with "oil-electric hybrid, pure electric, improved hybrid- hydrogen fuel cell (hydrogen power), rechargeable hybrid" as the main line, and adjustment should be made with the technology innovation, industrial development, conditions and so on.

Estimating human error probability in transporting steel cargo with bulk carriers using a hybrid approach

2021 ◽  
pp. 147509022110564
Author(s):  
Mehmet Kaptan
Keyword(s):  
Present Article ◽  
Human Error ◽  
Hybrid Approach ◽  
Cost Effective ◽  
Maritime Industry ◽  
Analytic Hierarchy ◽  
Ship Management ◽  
Bulk Carriers ◽  
Maritime Operations ◽  
Hierarchy Process

Maritime operations include potential human-made hazards. For this reason, evaluating human-made hazards for cost-effective ship management is of vital importance in the maritime industry. From past to present, researchers have attempted to offer preventive approaches to minimise human-made hazards. In this context, the present article proposes a hybrid approach through the integration of the Delphi, Analytic Hierarchy Process (AHP) and Human Error Assessment and Reduction Technique (HEART) methods. With this approach, human-made claims occurring during the handling and transport of steel cargo in bulk carriers were analysed. The outputs of the present article contribute to the improvement of overall safety levels of steel cargo and bulk carriers by considering the potential hazards in risk management.

scholarly journals Leading indicators and maritime safety: predicting future risk with a machine learning approach

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Lutz Kretschmann
Keyword(s):  
Machine Learning ◽  
Risk Management ◽  
Model Performance ◽  
Risk Indicators ◽  
Risk Indicator ◽  
Shipping Industry ◽  
Maritime Industry ◽  
Related Data ◽  
Development Framework ◽  
Machine Learning Approach

Abstract The shipping industry has been quite successful in reducing the number of major accidents in the past. In order to continue this development in the future, innovative leading risk indicators can make a significant contribution. If designed properly, they enable a forward-looking identification and assessment of existing risks for ship and crew, which in turn allows the implementation of mitigating measures before adverse events occur. Right now, the opportunity for developing such leading risk indicators is positively influenced by the ongoing digital transformation in the maritime industry. With an increasing amount of data from ship operation becoming available, these can be exploited in innovative risk management solutions. By combining the idea of leading risk indicators with data and algorithm-based risk management methods, this paper firstly establishes a development framework for designing maritime risk models based on safety-related data collected onboard. Secondly, the development framework is applied in a proof of concept where an innovative machine learning-based approach is used to calculate a leading maritime risk indicator. Overall, findings confirm that a data- and algorithm-based approach can be used to determine a leading risk indicator per ship, even though the achieved model performance is not yet regarded as satisfactory and further research is planned.

scholarly journals The Blockchain and DLTs in the Maritime Industry: Potential and Barriers

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
A. Panos ◽  
G. Kapnissis ◽  
H. C. Leligou
Keyword(s):  
Significant Part ◽  
Shipping Industry ◽  
Maritime Industry ◽  
Distributed Ledger ◽  
Paper Form ◽  
Security Concerns

In the shipping industry, a significant part of the documents exchanges still have the traditional paper form, mainly due to security concerns, despite the size and modernization efforts of this market. We explore the adoption of the blockchain and Distributed Ledger Technologies to address document exchange in a fast and secure way.

scholarly journals Sustainability issues in maritime transport and main challenges of the shipping industry

2019 ◽  
Vol 10 (1) ◽  
pp. 48-65 ◽  
Author(s):  
Viktoriia Koilo
Keyword(s):  
Co2 Emissions ◽  
Energy Use ◽  
Negative Impact ◽  
Rapid Development ◽  
Value Added ◽  
Oil Prices ◽  
Maritime Transport ◽  
Shipping Industry ◽  
Maritime Industry ◽  
The Relationship

Considering the rapid development of oceanic logistics, the maritime traffic is one of the worst offenders for air and water pollution. This paper primarily aims to explore the key concepts and terms applied to denote the sustainability issues in maritime transport and main challenges for the shipping industry. The present study investigates the existing sustainability frameworks on the relationship between sustainability and maritime industry. Also the author proposes to use modelling approaches to measure the relationship between oil prices, exchange rate, services export and ocean transport value added. The empirical findings indicate that growth rate of the crude oil prices has negative impact on ocean transport value added growth, and it can be traced that the oil industry has a strong influence on value creation in maritime clusters and their competitiveness, especially on the shipping sector. The analysis also sheds light on the impacts of relationship between environmental pollution and maritime cluster activity (through the validation of the EKC hypothesis in Norway). The current paper reveals that there is an inverted U-shaped relationship between economic growth and CO2 emissions. The empirical evidences show that the links between CO2 emissions and ocean transport value added are more significant than with energy consumption indicator. It can be assumed that, due to the energy efficiency policy and technological leadership in the shipping industry, the environmental impact of energy use (renewable energy) has improved.

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