241 research outputs found

    A study of Intelligent Transport Systems (ITS) in Dublin Port in conjunction with the Intelligent Transport for Dynamic Environment (InTraDE) Project

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    In the last four decades the container as an essential part of a unit load-concept has achieved authentic importance in international sea freight transportation. With ever increasing containerization the number of port container terminals and competition among them has become quite remarkable. Port container operations are nowadays unthinkable without effective and efficient use of Intelligent Transport Systems (ITS) (Steenken & Stahlbock, 2004). The main problem in handling increasing levels of cargo is managing the internal traffic and optimizing space inside smaller and medium sized ports. A gap exists between automated cargo handling equipment that is suitable for use in the larger container terminals such as Rotterdam and its suitability in smaller terminals such as Dublin. A new generation of cargo handling technology has been designed in the form of an Intelligent Autonomous Vehicle (IAV). The IAV is a clean, safe, intelligent vehicle which will contribute to improving the traffic management and space optimization inside confined space by developing a clean, safe and intelligent transport system. This technology has been designed and developed as part of the โ€˜InTraDEโ€™ (Intelligent Transport for Dynamic Environment) project to which the research has contributed. By using ITSs, logistics operations could be improved by enhancing the exchange of information and real-time status updates regarding different business operations in different modes of transportation (Schumacher et al., 2011). Maritime transport has recently gained increased attention, especially in connection to the building and further development of ITS (Pietrzykowski, 2010). This research looks at the main logistic processes and operations in port container terminals. It discusses the extent to which the terminal shipping operators in Dublin Port currently meet the demands of their customers and whether the introduction of ITS could enhance the efficiency and productivity of such services

    Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals

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    This paper investigates replanning strategies for container-transportation task allocation of autonomous Straddle Carriers (SC) at automated container terminals. The strategies address the problem of large-scale scheduling in the context of uncertainty (especially uncertainty associated with unexpected events such as the arrival of a new task). Two rescheduling policies-Rescheduling New arrival Jobs (RNJ) policy and Rescheduling Combination of new and unexecuted Jobs (RCJ) policy-are presented and compared for long-term Autonomous SC Scheduling (ASCS) under the uncertainty of new job arrival. The long-term performance of the two rescheduling policies is evaluated using a multi-objective cost function (i.e., the sum of the costs of SC travelling, SC waiting, and delay of finishing high-priority jobs). This evaluation is conducted based on two different ASCS solving algorithms-an exact algorithm (i.e., branch-and-bound with column generation (BBCG) algorithm) and an approximate algorithm (i.e., auction algorithm)-to get the schedule of each short-term planning for the policy. Based on the map of an actual fully-automated container terminal, simulation and comparative results demonstrate the quality advantage of the RCJ policy compared with the RNJ policy for task allocation of autonomous straddle carriers under uncertainty. Long-term testing results also show that although the auction algorithm is much more efficient than the BBCG algorithm for practical applications, it is not effective enough, even when employed by the superior RCJ policy, to achieve high-quality scheduling of autonomous SCs at the container terminals. ยฉ 2013 Elsevier B.V. All rights reserved

    New Technology and Automation in Freight Transport and Handling Systems

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    This is an evidence review that examines the trends in manufacturing and global supply chains, looking at the international trade, technology and users, and how these may change between now and 2040. The review has been commissioned by the Government Office for Science within the Foresight project. The Foresight Future of Mobility project is run from within the UK Government Office for Science (GO-Science). The Foresight project was launched to try to understand the broad question "What benefits/ opportunities could the transport system of the future provide and what are the implications for Government and society?

    The synergistic effect of operational research and big data analytics in greening container terminal operations: a review and future directions

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    Container Terminals (CTs) are continuously presented with highly interrelated, complex, and uncertain planning tasks. The ever-increasing intensity of operations at CTs in recent years has also resulted in increasing environmental concerns, and they are experiencing an unprecedented pressure to lower their emissions. Operational Research (OR), as a key player in the optimisation of the complex decision problems that arise from the quay and land side operations at CTs, has been therefore presented with new challenges and opportunities to incorporate environmental considerations into decision making and better utilise the โ€˜big dataโ€™ that is continuously generated from the never-stopping operations at CTs. The state-of-the-art literature on OR's incorporation of environmental considerations and its interplay with Big Data Analytics (BDA) is, however, still very much underdeveloped, fragmented, and divergent, and a guiding framework is completely missing. This paper presents a review of the most relevant developments in the field and sheds light on promising research opportunities for the better exploitation of the synergistic effect of the two disciplines in addressing CT operational problems, while incorporating uncertainty and environmental concerns efficiently. The paper finds that while OR has thus far contributed to improving the environmental performance of CTs (rather implicitly), this can be much further stepped up with more explicit incorporation of environmental considerations and better exploitation of BDA predictive modelling capabilities. New interdisciplinary research at the intersection of conventional CT optimisation problems, energy management and sizing, and net-zero technology and energy vectors adoption is also presented as a prominent line of future research

    Analysis of the maritime logistic system in Chile and the design of a parametric model to decision making

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    The internationalisation of investments and the globalisation of the markets have created a high level of competition among manufacturing and services companies which has transcended the competition among nations. In this environment, quality information and exact timing are the sole answers for generating comparative and competitive advantages with respect to other manufacturers and providers. Inspired by these challenges, Latin American countries have searched for ways to increase and diversify their exports in order to heighten their trade balance surpluses. This, in turn, helps them to overcome their debt problems and gain access to a better quality of life. With these criteria in mind, these countries have begun to join the economic aperture and globalisation processes. United by their common ethnic heritage, they are driven by the growing need to co-ordinate national and regional decisions in order to achieve a harmonic community development. The efficiency principle imposed by the present international trade scenario requires extreme attention to detail in the administration of production costs and in placing products on the market. Because a product's success is highly sensitive to cost and distribution methods, maritime transport and its associated systems require very specific management techniques. Those management techniques must take into account that as transport is a service it gives added value to the cargo. Thus, the management model, costs involved, planning processes, and area policies are topics of vital importance for achieving these nations' development objectives. The design of specific policies, both operational as well as for development (investments), should comply with certain minimum conditions. The resulting policies should satisfy integrally and harmoniously the requirements the State establishes in its general National Development Strategy. This strategy considers factors of monetary and trade uncertainty. States must be particularly careful to interpret changes, tendencies, circumstances and difficulties which emerge in the international markets they serve, correctly. Therefore, the purpose of this study is to analyse the existing maritime transport logistic system in Chile, beginning with the history of ports and economic development. Subsequently, this study will analyse all relevant information related to logistics and the lessons learnt during the process of modernization. For analytical purposes, the study establishes an evaluation area which has been represented by a "graph" built up from nodes and links.These symbolise the complex network of port systems, hinterlands, roads, railways and coastal shipping. Likewise, the links and nodes have direction, intensity and values that the study intends to describe and evaluate. Moreover, hinterlands are not as exclusive as they were before. Consequently, most of the port systems face a very competitive market in offering services for international hinterlands/foreland. Therefore, this thesis will conclude that at least some Latin American countries establish land bridges between them. There have been some studies about the land bridges, "inter-oceanic corridors" or "integration corridors" options in South America.The Pacific Ocean Basin and the APEC countries represent a huge market for those Atlantic countries which have products to export and import from that vast area of the globe. The existence of the main industrial site of South America running from the Atlantic side of South America to the Pacific Coast, which forms an "Industrial Banana", is the foundation of a massive demand to and from both coasts. The study evaluated the logistics system through different criteria, such as logistics, physical capacities, and economic, social, environmental and political considerations. Having established these criteria, the researcher can better evaluate the relevant parameters and variables to consider in the design of the parametric model.La internacionalizacion de las inversiones y la globalizacion de los mercados, han creado un alto nivel de competitividad entre los proveedores de manufactura o de servicios, lo que trasciende a la competitividad entre las naciones. En este escenario, la informacion de calidad y respuesta en tiempo real son la respuesta para generar ventajas comparativas y competitivas respecto de otros productores y proveedores. Inspirados en estos cambios, los paises Latinoamericanos han buscado formas como aumentar y diversificar sus exportaciones, con el proposito de incrementar sus balanzas comerciales. Esto les ayuda a sobrellevar sus problemas de deuda, accediendo a mejor calidad de vida. Con estos criterios en mente, los paises de la Region han accedido a los procesos de apertura economica y globalizacion de los mercados. Unidos por la herencia etnica comun, ven una creciente necesidad por la coordinacion de sus decisiones nacionales y regionales, de manera de alcanzar el desarrollo comun de manera harmonica. Los principios de eficiencia impuestos por el presente esquema de comercio internacional, requiren de una atencion especial en la gestion de los costos de produccion y en la colocacion de los productos en los mercados. Considerando que el exito del producto es sensible a su costo, los sistemas de distribucion y logistica requiren de tecnicas especificas de gestion. Por ello, los modelos de gestion, costos, procesos de planificacion y politicas sectoriales son de vital importancia para alcanzar los objetivos nacionales de desarrollo. El diseno de politicas sectoriales, tanto operacionales como de desarrollo (inversiones), deberian cumplir con los minimas condiciones para lograr su objetivo pais. Las politicas resultantes debieran satisfacer de manera integral y harmonica, los requirimientos que el Estado ha establecido en su Estrategia Nacional de Desarrollo. Dicha estrategia debe incluir las incertidumbres monetarias y de commercio. Los Estados deben ser particularmente cuidadosos para interpretar correctamente los cambios, tendencias, circunstancias y dificultades que emergen de los mercados internacionales que ellos sirven. Por lo indicado anteriormente, el proposito de esta tesis es analizar el sistema de logistica maritima en Chile, comenzando con la historia de sus puertos y desarrollo economico, posteriormente el analisis de la informacion relevante a logistica y las lecciones aprendidas durante el proceso de modernizacion economica. Con propositos analiticos, el estudio determino una zona fisica de evaluacion que esta representada por la "teoria de grafos". Esta simboliza la compleja red de puertos, hinterlands, caminos, ferrovias y transporte maritimo costero. Los nodos y sus enlaces tienen direccion, intensidad y valores que el estudio pretende evaluar y dimensionar. Mas aun, en la actualidad el hinterland de los puertos ha dejado de ser exclusivo, consecuentemente, los sistemas portuarios enfrentan una agresiva competencia para ofertar servicios a sus hinterland/foreland, por lo cual algunos paises latinoamericanos construyeron "puentes terrestres" entre ellos, el estudio indica algunas opciones de "puentes terrestres", "corredores inter-oceanicos" o "corredores de integracion" identificados en America del Sur. La cuenca del Pacifico y los paises APEC representan un mercado enorme para los paises de la costa Atlantica. La existencia de la principal area industrial de Sudamerica se configura entre el Atlantico y Pacifico, forma lo que el autor denomina como la "Banana Industrial", lo que origina una enorme demanda en los dos sentidos. El estudio evalua los sistemas desde diferentes criterios, tales como: sus capacidades fisicas y logisticas, sus consideraciones economicas, politicas, sociales, y medio ambientales. Una vez establesidos los criterios, el investigador puede identificar y evaluar de mejor forma los parametros y variables a considerar en el diseno del "modelo parametrico".Postprint (published version

    Focusing on the case analysis of advanced smart ports

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ธ€๋กœ๋ฒŒํ–‰์ •์ „๊ณต, 2023. 2. Lee, Soo-young.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ ๊ฐ๊ด‘๋ฐ›๊ณ  ์žˆ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๊ฐœ๋…๊ณผ ํ•ญ๋งŒ ๊ฒฝ์Ÿ๋ ฅ๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๊ณ ์ฐฐํ•ด ๋ณด๊ณ , ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ๋‹ค๊ฐ์ ์ธ ๋ถ„์„์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋‚˜๋ผ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๋ฐœ์ „ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด A. Molavi ์™ธ์˜ ์—ฐ๊ตฌ์—์„œ ํ™•๋ฆฝ๋œ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ํ‰๊ฐ€ ์ฒ™๋„์˜ 4๊ฐ€์ง€ ์ธก๋ฉด, ์šด์˜์ธก๋ฉด(Operation), ํ™˜๊ฒฝ์ธก๋ฉด(Environment), ์—๋„ˆ์ง€ ์ธก๋ฉด(Energy), ๊ทธ๋ฆฌ๊ณ  ์•ˆ์ „๊ณผ ๋ณด์•ˆ ์ธก๋ฉด(Safety & Security)์˜ ๋ถ„์„ํ‹€์„ ํ™œ์šฉํ•˜์—ฌ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๊ฐœ๋ฐœ๊ณผ ๋ฐœ์ „์— ๊ฐ€์žฅ ์•ž์„  ๋„ค๋œ๋ž€๋“œ์˜ ๋กœํ…Œ๋ฅด๋‹ด ํ•ญ๋งŒ๊ณผ ๋…์ผ์˜ ํ•จ๋ถ€๋ฅดํฌ ํ•ญ๋งŒ์˜ ์ •์ฑ… ๋ถ„์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. A. Molavi ์™ธ์˜ ์—ฐ๊ตฌ๋Š” ์ธก์ • ๊ฐ€๋Šฅํ•œ ์Šค๋งˆํŠธํ™” ์ง€์ˆ˜๋ฅผ ๋ฐœ์ „์‹œ์ผœ ๊ฐ ํ•ญ๋งŒ์˜ ์Šค๋งˆํŠธํ™” ์ •๋„๋ฅผ ๊ฐ€๋Š ํ•˜๊ณ  ์žฅ๋‹จ์ ์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•œ ์ทจ์ง€์—์„œ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ํ‰๊ฐ€ ์ฒ™๋„๋ฅผ ํ™œ์šฉํ•˜๋˜ ์งˆ์ ์ธ ๋ถ„์„์œผ๋กœ ์ ‘๊ทผํ•˜์—ฌ ์ •์ฑ… ํ™œ์šฉ ์ธก๋ฉด์—์„œ ์œ ์šฉํ•œ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๋Š”๋ฐ ๋ชฉ์ ์„ ๋‘์—ˆ๋‹ค. ๋˜ํ•œ ๋™์ผํ•œ ํ‹€์„ ํ™œ์šฉํ•˜์—ฌ ํ˜„์žฌ ๋ถ€์‚ฐ ์ปจํ…Œ์ด๋„ˆ ํ„ฐ๋ฏธ๋„์˜ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๋ฐœ์ „ ๊ณ„ํš์„ ๋ถ„์„ํ•˜๊ณ  ๋ฐœ์ „๋ฐฉํ–ฅ ์„ค์ •์— ๋„์›€์„ ์ฃผ๊ณ ์ž ํ•˜์˜€๋‹ค. ์šฐ์„  ์šด์˜ ์ธก๋ฉด์—์„œ ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ๋“ค์€ ํ•ญ๋งŒ ๋‚ด ํ•˜์—ญ ์ „ ๊ณผ์ •์˜ ์™„์ „ ์ž๋™ํ™”๋ฅผ ๋‹ฌ์„ฑํ•˜์˜€๊ณ , ์ด์— ๊ทธ์น˜์ง€ ์•Š๊ณ  ํ•ญ๋งŒ ๋‚ด ๋ชจ๋“  ๊ณผ์ •์„ 4์ฐจ ์‚ฐ์—…ํ˜๋ช…์˜ ์ฒจ๋‹จ ๊ธฐ์ˆ ๋“ค์„ ํ™œ์šฉํ•˜์—ฌ ๋ฌด์ธํ™”์™€ ํšจ์œจํ™”๋ฅผ ์ถ”๊ตฌํ•˜์˜€๋‹ค. ์ด ๊ณผ์ •์—์„œ A.I, IoT, ๋ธ”๋ก์ฒด์ธ ๋“ฑ 4์ฐจ ์‚ฐ์—…ํ˜๋ช…์˜ ํ•ต์‹ฌ ๊ธฐ์ˆ ๋“ค์„ ์ ๊ทน ํ™œ์šฉํ•˜์—ฌ ํ•ญ๋งŒ์˜ ์ „์ฒด์ ์ธ ๋ชจ์Šต์„ ๋ณ€ํ™”์‹œ์ผœ ๊ฐ€๊ณ  ์žˆ์œผ๋ฉฐ, ๋น„์šฉ์ ˆ๊ฐ๊ณผ ์ƒ์‚ฐ์„ฑ ์ฆ๋Œ€ ๋“ฑ ์ง์ ‘์ ์ธ ํšจ๊ณผ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ธ€๋กœ๋ฒŒ ๋ฌผ๋ฅ˜์˜ ํ•ต์‹ฌ ๊ตฌ์‹ฌ์ ์œผ๋กœ์จ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๊ฐ€๋Šฅ์„ฑ์„ ๋ฐœ์ „์‹œ์ผœ ๋‚˜๊ฐ€๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ํ•ญ๋งŒ ๊ฒฝ์Ÿ๋ ฅ ํ–ฅ์ƒ์€ ๋ฌผ๋ก  ๋ฌผ๋ฅ˜ ํฌํ„ธ๋กœ์จ์˜ ์ง€์œ„๋ฅผ ์„ ์ ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝ์Ÿ๋„ ์‹ฌํ™”๋˜๊ณ  ์žˆ๋‹ค. ํ™˜๊ฒฝ ์ธก๋ฉด์—์„œ๋Š” ์นœํ™˜๊ฒฝ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ฆ๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๋งŒ์€ ๋” ์ด์ƒ ๋„์‹œ์™€ ๋ถ„๋ฆฌ๋˜์–ด ์กด์žฌํ•˜๋Š” ๋…๋ฆฝ๋œ ์˜์—ญ์ด ์•„๋‹Œ, ์ธ์ ‘ ๋„์‹œ ์ฃผ๋ฏผ๋“ค๊ณผ ์ƒํ˜ธ ์˜ํ–ฅ์„ ์ฃผ๊ณ ๋ฐ›์œผ๋ฉฐ ๋ฐœ์ „ํ•˜๋Š” ํ˜ธํ˜œ์ ์ธ ๊ด€๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค๋Š”๋ฐ ๊ณต๊ฐ๋Œ€๊ฐ€ ํ˜•์„ฑ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ทธ๋™์•ˆ ํ•ญ๋งŒ ํ™œ๋™์„ ํ†ตํ•ด ์•ผ๊ธฐ๋˜์—ˆ๋˜ ํ™˜๊ฒฝ ์˜ค์—ผ ๋ฌธ์ œ๋ฅผ ์ค„์ด๊ณ  ์ง€์—ญ์‚ฌํšŒ์— ๊ธฐ์—ฌํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ๋ ฅ๋“ค์ด ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ์ „๋ ฅ์— ๊ธฐ๋ฐ˜ํ•œ ์นœํ™˜๊ฒฝ ํ•˜์—ญ์žฅ๋น„๋กœ ๋Œ€์ฒดํ•˜๊ณ , ์„ ๋ฐ•์˜ ์—ฐ๋ฃŒ๋ฅผ ์นœํ™˜๊ฒฝ ์—ฐ๋ฃŒ๋กœ ์ „ํ™˜ํ•˜๋Š” ๋…ธ๋ ฅ์ด ์ง„ํ–‰ ์ค‘์ด๋‹ค. ํ•ญ๋งŒ ๋‚ด ์œ ํœด๋ถ€์ง€๋ฅผ ํ™œ์šฉํ•ด ์‹ ์žฌ์ƒ์—๋„ˆ์ง€๋ฅผ ๋ฐœ์ „ํ•˜๊ณ  ์ธ๊ทผ ์ง€์—ญ์— ๊ณต๊ธ‰ํ•˜๋Š” ๋ฐฉ์•ˆ๊ณผ, ํ•ญ๋งŒ์˜ ํ™˜๊ฒฝ ๋ฌธ์ œ๋ฅผ IoT ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ์‹œํ•˜๊ณ  ๊ณต์œ ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜์—ฌ ํ•ญ๋งŒ์˜ ์ง€์† ๊ฐ€๋Šฅํ•œ ๋ฐœ์ „์„ ์˜๋„ํ•˜๋ฉฐ ํƒ„์†Œ ์ค‘๋ฆฝ ์‚ฌํšŒ๋กœ์˜ ์ง„์ „์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ์ž์ฒ˜ํ•˜๊ณ  ์žˆ๋‹ค. ์—๋„ˆ์ง€ ์ธก๋ฉด์—์„œ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์ด ๋ฏธ๋ž˜ ์ˆ˜์†Œ ์‚ฌํšŒ์˜ ํ•ต์‹ฌ ๊ณต๊ธ‰ ๊ธฐ์ง€๊ฐ€ ๋  ์ „๋ง์ด๋‹ค. ํ•ด์ƒ ๋ฌผ๋ฅ˜์™€ ์œก์ƒ ๋ฌผ๋ฅ˜๊ฐ€ ๊ฒฐํ•ฉ๋˜๋Š” ๊ธฐ๋Šฅ์  ์ด์ ์„ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜์†Œ์˜ ์ƒ์‚ฐ๊ณผ ์ €์žฅ, ๋ถ„๋ฐฐ ๋“ฑ ์ˆ˜์†Œ ๊ฒฝ์ œ์˜ ํ•ต์‹ฌ ์ธํ”„๋ผ๋ฅผ ํ•ญ๋งŒ ๋‚ด ๊ตฌ์ถ•ํ•˜๊ณ  ํ•ญ๋งŒ ๊ธฐ๋Šฅ๊ณผ์˜ ๊ฒฐํ•ฉ์„ ์‹œ๋„ํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์„ ์ง„ ํ•ญ๋งŒ๋“ค์€ ๋Œ€๊ทœ๋ชจ ํŒŒ์ดํ”„ ๋ผ์ธ์„ ๊ฑด์„คํ•˜๋Š” ํ”„๋กœ์ ํŠธ๋“ค์„ ์ง„ํ–‰ํ•˜๋ฉฐ ๋ฏธ๋ž˜๋ฅผ ์ค€๋น„ํ•˜๊ณ  ์žˆ๋‹ค. ์•ˆ์ „๊ณผ ๋ณด์•ˆ ์ธก๋ฉด์—์„œ๋Š” ํ•ญ๋งŒ์ด ์ฒจ๋‹จ ๊ธฐ์ˆ  ํ™œ์šฉ์˜ ๊ฒฝ์—ฐ์žฅ์ด ๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๊ณต ๋ฐ ํ•ด์ƒ, ์ˆ˜์ค‘ ๋“œ๋ก  ๋“ฑ ์ฒจ๋‹จ ์žฅ๋น„๋“ค์„ ํ™œ์šฉํ•˜์—ฌ ๋“œ๋„“์€ ํ•ญ๋งŒ์„ ๊ฐ€์ƒ ํ˜„์‹ค์„ธ๊ณ„์ธ ํŠธ์œˆ ํƒ€์›Œ์— ์ด์‹ํ•˜๊ณ  ์ธ๊ณต์ง€๋Šฅ์— ์˜ํ•œ ์‹ค์‹œ๊ฐ„ ๊ด€๋ฆฌ ๊ฐ๋…์ด ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์ด ๊ตฌ์ถ•๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๋งŒ ๋‚ด ํ•˜์—ญ์ž‘์—…์˜ ๋ฌด์ธํ™”๋Š” ์•ˆ์ „์‚ฌ๊ณ ์˜ ์œ„ํ—˜์„ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์‚ฌ๊ฐ ์ง€๋Œ€๊ฐ€ ์—†๋Š” ๊ด€๋ฆฌ ๊ฐ๋…๋„ ๊ฐ€๋Šฅํ•ด์ ธ ํ•ญ๋งŒ ๋‚ด ์žฌ๋‚œ์‚ฌ๊ณ ์™€ ๋ฐ€์ž…๊ตญ ๋“ฑ์˜ ๋ฌธ์ œ๋ฅผ ๊ทผ๋ณธ์ ์œผ๋กœ ๋ณ€ํ™”์‹œํ‚ฌ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์—์„œ ์ถ”๊ตฌํ•˜๋Š” ๊ทผ๋ณธ์ ์ธ ๋ฐฉํ–ฅ์€ ์„ธ๊ณ„ ๋ฌผ๋ฅ˜์˜ ํ•ต์‹ฌ ํฌํ„ธ์„ ๊ตฌ์ถ•ํ•˜๋Š” ๊ฒƒ์ด๋ฉฐ ์ด๋ฅผ ์œ„ํ•ด ํ•ญ๋งŒ์˜ ์—ญํ• ์€ ๊ธฐ์กด์˜ ์ง€์—ญ์ ์ธ ํ•œ๊ณ„๋ฅผ ๋„˜์–ด ๊ธฐ๋Šฅ์ ์œผ๋กœ ๊ทธ๋ฆฌ๊ณ  ๋ฌผ๋ฆฌ์ ์œผ๋กœ ํŒฝ์ฐฝํ•˜๊ณ  ์žˆ๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์šฐ ์ผ์ฐ์ด ์ž๋™ํ™” ํ•ญ๋งŒ์˜ ๋ฐœ์ „์„ ์‹œ์ž‘ํ•œ ์œ ๋Ÿฝ ํ•ญ๋งŒ์€ ๋ฌผ๋ก  ์ธ๊ทผ ์ค‘๊ตญ๊ณผ ์‹ฑ๊ฐ€ํฌ๋ฅด์˜ ์ž๋™ํ™” ํ•ญ๋งŒ๊ณผ ๋น„๊ตํ•ด๋„ ๋’ค์ณ์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์ด ํ˜„์‹ค์ด๋‹ค. ์ด๋ฅผ ๋งŒํšŒํ•˜๊ธฐ ์œ„ํ•ด ์ค‘์•™ ์ •๋ถ€ ์ฐจ์›์—์„œ ์Šค๋งˆํŠธ ํ•ด์ƒ๋ฌผ๋ฅ˜์ฒด๊ณ„ ๊ตฌ์ถ• ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜๊ณ  2030๋…„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ณธ๊ฒฉ์ ์ธ ์šด์˜์„ ๊ณ„ํšํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณธ ๊ณ„ํš์€ ์ „๋ฐ˜์ ์ธ ๋ฌผ๋ฅ˜ ๊ธฐ๋Šฅ ์ค‘ ํ•˜์œ„ ์š”์†Œ๋กœ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์„ ์ธ์‹ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์„ ์ž๋™ํ™” ํ•ญ๋งŒ์ด๋ผ๋Š” ์ข์€ ์ธก๋ฉด์—์„œ๋งŒ ๋ฐ”๋ผ๋ณด๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ, ํ•ญ๋งŒ์˜ ๋ฏธ๋ž˜ ์ž ์žฌ๋ ฅ์— ๋Œ€ํ•œ ์„ ์ง„ ํ•ญ๋งŒ๋“ค์˜ ์ธ์‹๊ณผ๋Š” ํฐ ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค๊ณ  ํ•˜๊ฒ ๋‹ค. ๋˜ํ•œ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ฐœ์ „ ๊ณผ์ •์—์„œ ๋ฏผ๊ฐ„ ๊ธฐ์—…๊ณผ ํ•ญ๋งŒ ์ดํ•ด๊ด€๊ณ„์ž๋“ค์ด ์ ๊ทน์ ์œผ๋กœ ์ฐธ์—ฌํ•˜๊ณ  ํ˜‘๋ ฅํ•˜์—ฌ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ชจ์Šต์„ ๊ทธ๋ ค๊ฐ€๋Š” ์„ ์ง„ ํ•ญ๋งŒ๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์šฐ ์—ฌ์ „ํžˆ ์ •๋ถ€ ์ฃผ๋„ ๋ฐœ์ „ ๋ฐฉ์‹์„ ๊ณ ์ˆ˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ€์žฅ ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•ด์•ผ ํ•  ํ•ญ๋งŒ ๊ณต์‚ฌ๋“ค์˜ ์—ญํ• ์ด ๋ฏธ๋ฏธํ•œ ๊ฒƒ์€ ํ•œ๊ณ„๋ผ๊ณ  ํ•˜๊ฒ ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ–ฅํ›„ ํƒ„์†Œ ์ค‘๋ฆฝ ์‚ฌํšŒ๋กœ์˜ ์ดํ–‰์˜๋ฌด ๋“ฑ ํ™˜๊ฒฝ์ ์ธ ๋ฌธ์ œ์™€ ์นœํ™˜๊ฒฝ ์—๋„ˆ์ง€๋กœ์˜ ์ „ํ™˜์ด ์ค‘์š”์‹œ๋˜๊ณ  ์žˆ๋Š” ์‹œ์ ์—์„œ ์ด์— ๋Œ€ํ•œ ๊ทผ๋ณธ์ ์ธ ์ „ํ™˜๊ณ„ํš์ด๋‚˜ ํ•ญ๋งŒ์˜ ์ƒˆ๋กœ์šด ์—ญํ• ์— ๋Œ€ํ•œ ๊ณ ๋ฏผ์ด ๋ถ€์กฑํ•œ ๊ฒƒ๋„ ๋น„๊ต ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋„์ถœํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์œ ๋Ÿฝ์˜ ํ•ญ๋งŒ๋“ค๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์ˆ˜์†Œ ๊ฒฝ์ œ๋กœ์˜ ์ดํ–‰์— ์žˆ์–ด ํ•ญ๋งŒ์˜ ํ•ต์‹ฌ์  ์—ญํ• ์ด ๋น ์ ธ ์žˆ๋‹ค๋Š” ๊ฒƒ์€ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ์ธ์‹ ๋ถ€์กฑ์—์„œ ๋น„๋กฏ๋œ ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ ์ด์— ๋Œ€ํ•œ ์ •์ฑ…์  ๊ฐœ์„ ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค.This study examines the relationship between the concept of smart ports and port competitiveness, which have recently been in the spotlight, and attempts to derive implications for Korea's smart port development direction through various analysis of advanced smart ports. To this end, this research attempted to analyze the policies of Rotterdam Port in the Netherlands and Hamburg Port in Germany, which are most advanced in smart port development and development, using the analysis framework of four smart port evaluation measures established in A. Molavi et al. In terms of operation, advanced smart ports achieved complete automation of the entire loading and unloading process in the port, and not only this, but all processes in the port were pursued for unmanned and efficient use of the advanced technologies of the 4th Industrial Revolution. In terms of the environment, interest in eco-friendly ports is increasing. There is a consensus that ports should no longer be independent areas that exist separately from cities, but should establish reciprocal relationships that interact and develop with residents of neighboring cities. In terms of energy, smart ports are expected to become a key supply base for the future hydrogen society. Taking advantage of the functional advantages of combining marine logistics and land logistics, the core infrastructure of the hydrogen economy, such as hydrogen production, storage, and distribution, is built in ports and attempted to combine them with port functions. In terms of safety and security, ports are becoming a competition for the use of advanced technology. Using high-tech equipment such as aviation, sea, and underwater drones, a system that allows real-time management and supervision by artificial intelligence is being established by transplanting a wide port into a virtual reality twin tower. In the case of Korea, the reality is that it is lagging behind not only European ports that started the development of automated ports early but also automated ports in neighboring China and Singapore. To make up for this, the central government has established a "smart maritime logistics system construction strategy" and plans to operate smart ports in earnest in 2030. However, this plan recognizes smart ports as a sub-factor of the overall logistics function, which only looks at smart ports in the narrow aspect of automated ports, which is very different from advanced ports' perceptions of the future potential of ports. In addition, unlike advanced ports in which private companies and port stakeholders actively participate and cooperate in the development of smart ports, Korea still adheres to the government-led development method, and the role of port authorities to play the most leading role is insignificant. In addition, at a time when environmental problems such as the obligation to transition to a carbon-neutral society in the future and the transition to eco-friendly energy are becoming important, this comparative study was able to derive the lack of concern about the fundamental transition plan or the new role of ports. Unlike ports in Europe, the absence of a key role in the transition to a hydrogen economy seems to stem from a lack of awareness of smart ports, and policy improvements are needed.Chapter 1. Introduction ๏ผ‘ 1.1. Study Background ๏ผ‘ 1.2. Scope and Method of Study ๏ผ’ Chapter 2. Theoretical Discussions and Prior Study Reviews ๏ผ” 2.1. Theoretical discussion of smart ports ๏ผ” 2.1.1. Significance of Ports ๏ผ” 2.1.2. Development of Ports ๏ผ• 2.1.3. Prior Study of Smart Ports ๏ผ– 2.1.4. Smart Port Index (SPI) ๏ผ™ 2.2. Theoretical discussion of port competitiveness ๏ผ‘๏ผ‘ 2.2.1 The Concept of Port Competitiveness ๏ผ‘๏ผ‘ 2.2.2. A Prior Study on Port Competitiveness ๏ผ‘๏ผ“ 2.2.3. Port Competitiveness and Performance Evaluation ๏ผ‘๏ผ• 2.3. The relationship between smart ports and port competitiveness ๏ผ‘๏ผ— 2.3.1. Smart Port Components and Port Competitiveness ๏ผ‘๏ผ— 2.3.2. Trends in Smart Port Development ๏ผ’๏ผ“ 2.4. Results of previous study review ๏ผ’๏ผ— 3.1. Analysis Targets and Data ๏ผ’๏ผ˜ 3.2. Analytical Model ๏ผ’๏ผ™ Chapter 3. Case Analysis ๏ผ“๏ผ’ 3.1. Port of Rotterdam (Netherlands) ๏ผ“๏ผ’ 3.1.1. Background and Status of Smart Port Introduction ๏ผ“๏ผ’ 3.1.2. Operational Aspects of Smart Port ๏ผ“๏ผ” 3.1.3. Environmental Aspects of Smart Port ๏ผ“๏ผ— 3.1.4. Energy Aspects of Smart Port ๏ผ“๏ผ™ 3.1.5. Safety and Security Aspects of Smart Port ๏ผ”๏ผ‘ 3.1.6. Implications ๏ผ”๏ผ“ 3.2. Port of Hamburg (Germany) ๏ผ”๏ผ• 3.2.1. Background and Status of Smart Port Introduction ๏ผ”๏ผ• 3.2.2. Operational Aspects of Smart Port ๏ผ”๏ผ˜ 3.2.3. Environmental Aspects of Smart Port ๏ผ•๏ผ‘ 3.2.4. Energy Aspects of Smart Port ๏ผ•๏ผ“ 3.2.5. Safety and Security Aspects of Smart Port ๏ผ•๏ผ• 3.2.5. Implications ๏ผ•๏ผ– 3.3. Port of Busan (S.Korea) ๏ผ•๏ผ˜ 3.3.1. Background and Status of Smart Port Introduction ๏ผ•๏ผ˜ 3.3.2. Operational Aspects of Smart Port ๏ผ–๏ผ 3.3.3. Environmental Aspects of Smart Port ๏ผ–๏ผ’ 3.3.4. Energy Aspects of Smart Port ๏ผ–๏ผ“ 3.3.5. Safety and Security Aspects of Smart Port ๏ผ–๏ผ” Chapter 4. Conclusion ๏ผ–๏ผ– 4.1. Results of Research ๏ผ–๏ผ– 4.2. Policy Implications ๏ผ—๏ผ 4.3. Limitations of Research ๏ผ—๏ผ” Bibliography ๏ผ—๏ผ– Abstract in Korean ๏ผ˜๏ผ’์„

    Shipping Digitalization and Automation for the Smart Port

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    Shipping, like most industries, is undergoing a digital transformation process which influences existing business models and operational practices, in a multifaceted way. Today, the shipping business context has been changing to incorporate further social demands, environmental, innovation and sustainability priorities, into fundamental shipping strategies, while taking advantage of technological advancements. In the era of Industry 4.0, which constitutes a recent evolution of advanced communications and information technologies and further promotes sustainable, human-centric, and resilient business development strategies, shipping and port entities need to embrace a broader perspective and a deeper understanding of various elemental technologies, namely: Artificial Intelligence, Blockchain, Cloud Computing, Big Data, and Physical Internet, in addition to core maritime logistics matters. This chapter proposes a descriptive framework of shipping digitalization and port automation, while providing a review of related technologies and business approaches, also international initiatives, for automation in global ports. Hence the chapter offers insights for business practitioners to steer through the current challenging global environment, also for policy makers to gain a more informed understanding of maritime logistics developments, towards necessary coordination and oversight mechanisms implementation

    Control of free-ranging automated guided vehicles in container terminals

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    Container terminal automation has come to the fore during the last 20 years to improve their efficiency. Whereas a high level of automation has already been achieved in vertical handling operations (stacking cranes), horizontal container transport still has disincentives to the adoption of automated guided vehicles (AGVs) due to a high degree of operational complexity of vehicles. This feature has led to the employment of simple AGV control techniques while hindering the vehicles to utilise their maximum operational capability. In AGV dispatching, vehicles cannot amend ongoing delivery assignments although they have yet to receive the corresponding containers. Therefore, better AGV allocation plans would be discarded that can only be achieved by task reassignment. Also, because of the adoption of predetermined guide paths, AGVs are forced to deploy a highly limited range of their movement abilities while increasing required travel distances for handling container delivery jobs. To handle the two main issues, an AGV dispatching model and a fleet trajectory planning algorithm are proposed. The dispatcher achieves job assignment flexibility by allowing AGVs towards to container origins to abandon their current duty and receive new tasks. The trajectory planner advances Dubins curves to suggest diverse optional paths per origin-destination pair. It also amends vehicular acceleration rates for resolving conflicts between AGVs. In both of the models, the framework of simulated annealing was applied to resolve inherent time complexity. To test and evaluate the sophisticated AGV control models for vehicle dispatching and fleet trajectory planning, a bespoke simulation model is also proposed. A series of simulation tests were performed based on a real container terminal with several performance indicators, and it is identified that the presented dispatcher outperforms conventional vehicle dispatching heuristics in AGV arrival delay time and setup travel time, and the fleet trajectory planner can suggest shorter paths than the corresponding Manhattan distances, especially with fewer AGVs.Open Acces
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