The Main Challenges and Barriers to the Successful “Smart Shipping”

Alop, Anatoli

doi:10.12716/1001.13.03.05

Cited by 34 publications

(15 citation statements)

References 2 publications

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“…The author of this article believes that developments in the ships’ digitalization and becoming “more intelligent” will not be sudden and rapid from one marginal case to another; so-called semi-autonomous solutions are more likely to emerge in the coming years, e.g., the 3M and MP variants described in the author’s publications [ 10 , 11 ]. Even this will also take a long time, perhaps decades, to reach the mass application of such solutions, not to mention fully autonomous ones.…”

Section: Smart Maritime Educationmentioning

confidence: 99%

Smart Shipping Needs Smart Maritime Education and Training

Alop

2021

The 1st International Conference on Maritime Education and Development

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The rapid development of digital technologies in recent years and the exponential growth of computing power and storage capacity of "wise machines" lead inevitably to the increasingly important role of artificial intelligence (AI) in many fields of activity, including maritime transport [1, 2]. These developments, combined with growing global challenges, give us reason to believe that, if not in the coming years, then in the coming decades, we definitely will face major changes in the world in general and in maritime affairs in particular. They, among other things, will force us to abandon the beliefs and paradigms that have so far seemed to be "waterproof." Before discussing in a practical way the problem posed in the title of this paper, it is essential to ask some to a certain extent philosophical questions, which inevitably arise when analyzing this topic and which cause a slight dissonance in the author. There may not be (or even cannot be found at all) good answers to these questions, especially within the scope of single paper, but defining these questions and "bringing them into play" seems important to the author of the paper. The first question is what we mean by talking about something or someone "smart" (smart person, smart behavior, smart economic, smart shipping, or even smart education). It is clear that the answers to the question about the "smartness" of the listed objects and subjects, even if they could be found, would differ significantly from each other. The author of this paper does not attempt and even probably is not able to give an exhaustive definition of "smart" for all these objects and subjects (and possible many others). However, the author would like to clarify what he

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Section: Smart Maritime Educationmentioning

confidence: 99%

Smart Shipping Needs Smart Maritime Education and Training

Alop

2021

The 1st International Conference on Maritime Education and Development

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“…Smart shipping will encourage stakeholders via decision making with efficiency, minimized costs, and smaller ecological footprints (Xiao et al 2021) and will make global shipping and supply chains safer, more sustainable, more efficient, and more competitive (Kapkaeva 2021). Smart ships and smart ports are key pillars of smart shipping and both are brought into one global system by the Internet of Things (IoTs) and big data technology (Alop 2019).…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Model of Smart Port Performance and Smart Port Indicators in Thailand

Makkawan¹,

Muangpan²

2021

Journal of International Logistics and Trade

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Autonomous ports and digital ports are a modern trend of global commercial ports that are established to develop toward smart ports in many ports. Smart port indicators (SPIs) are used as important tools for measuring, encouraging, and indicating smart port performance. These are the main indicators to operate smart port management as the practical direction and port development planning are enclosed. This research aims to identify the SPIs and to develop a conceptual model of smart port performance in a case study of The Eastern Economic Corridor (EEC) in Thailand. Triangulation data are used in the data collection with three sources: the reviewed literature of five international databases in 2016–2021, participant observations, and in-depth interviews. Content analysis is utilized to analyze these data to develop a conceptual model approach. The findings of this research are shown in three main domains classified as smart port operation, smart port environment/energy, and smart port safety/security. These indicators represent 29 SPIs for developing smart port performance, which can be explained with a conceptual model. This information will exist as the foundation framework guiding Thai smart ports towards international standards of smart port efficiency.

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“…Digitalization allows simplifying and speeding up the process of exchanging and registering information, as well as increasing control over the execution of operations. As a result, the ability to register the execution time of individual stages of each process performed in the company gives space for analysis and improving the efficiency of its activities [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Analisys of sea transportation processes with network and simulation modeling

Vinnikova

Semenov

2021

E3S Web Conf.

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The paper examines a complex of operations in sea transport using methods of network and simulation modeling. The authors consider the process of organizing sea transportation for the tanker fleet. In this case, the whole procedure is divided into four blocks of work. Each of the blocks is investigated separately using the network modeling method. The result of a private study is network models that describe the logic of performing a set of works, as well as the average execution time of all operations. It is proved that the use of simulation modeling for the analysis of the process of organizing and performing sea transportation makes it possible to assess the distribution of the execution time of the entire complex of works, as well as to identify bottleneck. The information obtained can be used for the subsequent analysis of the features of the work performance that reduce the efficiency of operations in the sea transportation process, and the development of possible solutions to improve the procedures under consideration.

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The Main Challenges and Barriers to the Successful “Smart Shipping”

Cited by 34 publications

References 2 publications

Smart Shipping Needs Smart Maritime Education and Training

Smart Shipping Needs Smart Maritime Education and Training

A Conceptual Model of Smart Port Performance and Smart Port Indicators in Thailand

Analisys of sea transportation processes with network and simulation modeling

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