990 research outputs found

    A shipping line stowage-planning procedure in the presence of hazardous containers

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    This work addresses the stowage-planning problem for containerships, known as the Master Bay Plan problem (MBPP), in the presence of hazardous containers. A novel procedure, based on the principles included in the International Maritime Dangerous Goods (IMDG) Code for stowing containers in liner services is presented. Further, shipping alliances are considered. Our aim is to assist the shipping line coordinator (SLC) to optimize the available space assigned to each alliance member. This is possible thanks to the proposed procedure that finds stowage solutions for ships with different structures, capacity and available sections for hazardous containers, and for companies having different stowage strategies. Our procedure can be implemented in a tool, able to verify the stowage constraints and the segregation rules in case of hazardous cargo. Two simple real-life multi-port stowage plans involving hazardous containers are presented and analysed to illustrate the proposed procedure

    Spanish Initiative for Fully Automated Stowage on Roll-on/roll-off Operations

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    In the past decades, social development has motivated a notable growth on transportation necessities. In 2020, higher tendencies are expected, so transportation demand will grow about a 20%. Besides, one of the foundations of the UE's Green Policy initiative for freight is the transportation sea-to-ground through the so-called โ€œShort sea shippingโ€ or โ€œMotorways of the seaโ€. Facing this scenario, it is needed the development of technologies and solutions which contribute to raise the profitability, flexibility and efficiency of marine transportation. This will lead to more competitive freight, so investing on such technologies is a guarantee of success. On this basis, within the framework of the Innterconecta 2013 programme, funded by the Spanish Ministry of Economy and Competitiveness through the Centre for Industrial Technological Development (CDTI), the project AUTOPORT is being developed, which objectives are here detailed. The main objective of the project is to develop the technologies needed for a fully automated stowage on roll-on/roll-off ships in order to improve the logistic flow, reduce stowage times and maximize the efficiency of the space occupation in hold. This will be accomplished by both the automation of logistic processes and terminal trucks. Automation of processes aims for obtaining a stowage plan which reduces to the minimum the obstructions between cargo and trucks in the process and also the imbalance of the hold, in order to allow easy and smooth load operations even in rough sea conditions. Automation of terminal trucks consist in the efficient use of localization, path planning and control for taking a specifically designated roll trailer and stowing it on the exact hold location pointed by the stowage plan, all without human intervention.CDTI - Spanish Ministry of Economy and Competitiveness (AUTOPORT

    ํ•ด์šด๋ฌผ๋ฅ˜์—์„œ์˜ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ ํšจ๊ณผ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2022.2. ๋ฌธ์ผ๊ฒฝ.์ปจํ…Œ์ด๋„ˆ ํ™” ์ดํ›„๋กœ ํ•ด์ƒ ๋ฌผ๋ฅ˜๋Š” ํญ๋ฐœ์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์˜€๊ณ  ์„ธ๊ณ„ํ™”์™€ ์‚ฐ์—… ๋ฐœ์ „์„ ์„ ๋„ํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ ๋ฌด์—ญ๋Ÿ‰์˜ ์ฆ๊ฐ€์™€ ๋น„๋ก€ํ•˜์—ฌ ์ˆ˜์ถœ์ž… ๋ถˆ๊ท ํ˜•์œผ๋กœ ์ธํ•œ ์ปจํ…Œ์ด๋„ˆ์˜ ๋ถˆ๊ท ํ˜• ๋ฌธ์ œ๋„ ์‹ฌํ™”๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ์ž๋“ค์˜ ๋…ธ๋ ฅ์ด ์žˆ์—ˆ๊ณ , ๊ทธ ์ค‘ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๋ผ๋Š” ์ƒˆ๋กœ์šด ๊ฐœ๋…์˜ ์ปจํ…Œ์ด๋„ˆ๊ฐ€ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ์•„์ง ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๋Š” ์ƒ์šฉํ™” ์ดˆ๊ธฐ ๋‹จ๊ณ„์ด๋ฉฐ, ์ด๋ฅผ ํ™œ์šฉํ•œ ์—ฌ๋Ÿฌ ํšจ๊ณผ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๊ฐ€ ๋„์ž…๋˜์—ˆ์„ ๋•Œ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ์˜ํ–ฅ๊ณผ ๊ทธ ํšจ๊ณผ์— ๋Œ€ํ•ด ๋‹ค๋ฃจ์—ˆ๋‹ค. ๋จผ์ € ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๊ฐ€ ํฌ๋ ˆ์ธ ํ™œ๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ , ์ „์—ญ์  ๊ด€์ ์œผ๋กœ ํฌ๋ ˆ์ธ ํ™œ๋™์„ ์ค„์ผ ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ ์œก์ƒ์—์„œ์˜ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ ์ ์šฉ์ด ํ•ด์ƒ๊ณผ๋Š” ๋‹ค๋ฅด๋‹ค๋Š” ์ ์— ์ฃผ๋ชฉํ•˜์—ฌ ๊ทธ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ 2008 ๊ธˆ์œต์œ„๊ธฐ์™€ COVID-19 ์ดํ›„์— ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋Š” ํ•ด์šด๋ฌผ๋ฅ˜์˜ ๊ฐ์ข… ๋ณ€๋™ํ•˜๋Š” ์ƒํ™ฉ ํ•˜์—์„œ์˜ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ ํšจ๊ณผ์— ๋Œ€ํ•ด ์ƒˆ๋กœ์šด ํ†ต์ฐฐ์„ ์ œ๊ณตํ•˜์˜€๋‹ค. 1์žฅ์—์„œ๋Š” ๊ฐ„๋‹จํ•˜๊ฒŒ ์ปจํ…Œ์ด๋„ˆํ™”์™€ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ  ๋ฌธ์ œ๋ฅผ ์ฃผ๋ชฉํ•˜๊ฒŒ ๋œ ์ด์œ ์™€ ๊ทธ ์„ฑ๊ณผ๋ฅผ ์„œ์ˆ ํ•˜์˜€๋‹ค. 2์žฅ์—์„œ๋Š” ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๊ฐ€ ๋„์ž…๋จ์— ๋”ฐ๋ผ ์ƒ๊ธธ ์ˆ˜ ์žˆ๋Š” โ€˜์ƒ๋‹จ ์ ์žฌ ๊ทœ์น™โ€™์ด ์ ์šฉ๋˜์—ˆ์„ ๋•Œ์˜ ํฌ๋ ˆ์ธ ํ™œ๋™์˜ ๋ณ€ํ™”๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์ „์—ญ์  ์ตœ์ ํ™”๊ฐ€ ์ง€์—ญ์  ์ตœ์ ํ™”๋ณด๋‹ค ํšจ๊ณผ์ ์ž„์„ ๋ณด์˜€๋‹ค. ๋”๋ถˆ์–ด ์ „์—ญ์  ์ตœ์ ํ™”๋ฅผ ๋„์ž…ํ•˜์˜€์„ ๋•Œ ์ง๋ฉดํ•  ์ˆ˜ ์žˆ๋Š” ๋น„์šฉ ๋ถ„๋ฐฐ ๋ฌธ์ œ์— ๋Œ€ํ•ด์„œ๋„ ์กฐ๋งํ•˜์—ฌ ๊ทธ ํ•ด๊ฒฐ์ฑ…์„ ์ œ์‹œํ•˜์˜€๋‹ค. 3์žฅ์—์„œ๋Š” ์œก์ƒ์—์„œ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ๊ฐ€ ์ˆ˜์†ก๊ณต๊ฐ„์„ ์ค„์—ฌ์ฃผ๋Š” ์žฅ์  ์™ธ์— ๊ฒฝ๋กœ๋ฅผ ๋ฐ”๊พธ๋Š” ํšจ๊ณผ๊ฐ€ ์กด์žฌํ•จ์„ ๋ณด์ด๊ณ , ๋‹ค์–‘ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค์™€ ์ •์ฑ…์— ๋”ฐ๋ผ ๊ทธ ํšจ๊ณผ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š”์ง€์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. 4์žฅ์—์„œ๋Š” ์ฆ๊ฐ€ํ•˜๋Š” ๋‹ค์–‘ํ•œ ๋ณ€๋™์ƒํ™ฉ ๊ฐ๊ฐ์— ๋Œ€ํ•ด ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ์˜ ํšจ๊ณผ์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ† ๋Œ€๋กœ ๊ฐ ์ƒํ™ฉ์— ๋งž๋Š” ์ตœ์  ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ ๊ฐœ์ˆ˜๋ฅผ ๋„์ถœํ•˜๊ณ  ์ž„๋Œ€ ์ •์ฑ…์„ ํ†ตํ•ด ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ํ†ต์ฐฐ์„ ๋„์ถœํ•˜์˜€๋‹ค. 5์žฅ์—์„œ๋Š” ๋ณธ ๋…ผ๋ฌธ์˜ ๊ฒฐ๋ก ๊ณผ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉ์•ˆ์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•˜๋Š” ๋ฌธ์ œ์™€ ๊ทธ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•์€ ํ•™์ˆ ์  ๋ฐ ์‚ฐ์—…์ ์œผ๋กœ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค. ํ•™๊ณ„์—๋Š” ์‹ค์ œ ์กด์žฌํ•˜๋Š” ํ˜„์žฅ์˜ ๋ฌธ์ œ๋“ค์„ ์ œ์‹œํ•˜๊ณ  ๋ฌธ์ œ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋“ค์„ ์ œ์•ˆํ•œ๋‹ค. ์‚ฐ์—…๊ณ„์—๋Š” ์‹ ๊ธฐ์ˆ ์ธ ์ ‘์ด์‹ ์ปจํ…Œ์ด๋„ˆ์˜ ๋„์ž…์— ๋”ฐ๋ผ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•ด ์ •๋Ÿ‰ํ™” ๋ฐ ๋ชจํ˜•ํ™”๋ฅผ ํ†ตํ•œ ํ•ด๊ฒฐ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์„ ํ†ตํ•ด ์‚ฐ์—…์˜ ๋ฐœ์ „๊ณผ ํ•™๋ฌธ์˜ ๋ฐœ์ „์ด ํ•จ๊ป˜ ์ด๋ฃจ์–ด์งˆ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.After containerization, maritime logistics experienced the substantial growth of trade volumes and led to globalization and industrial development. However, in proportion to the increase in the volume, the degree of container imbalance also intensified due to the disparity between importing and exporting sizes at ports in different continents. A group of researchers is digging into resolving this ongoing challenge, and a new concept of a container, called a foldable container, has been proposed. Nevertheless, foldable containers are still in the early stage of commercialization, and research on the various effects of using foldable containers seems insufficient yet. This dissertation considers the possible effects of the introduction of foldable containers. First, we analyze the effect of foldable containers on crane operation and reduce shifts from a global perspective. Second, the effect of using foldable containers in hinterland areas was analyzed by noting that the application of foldable containers on land was different from that of the sea. Finally, we provided new insights into the foldable container under plausible dynamic situations in the shipping industry during the COVID-19 and logistics that have increased since the 2008 financial crisis. A brief explanation of containerization and foldable containers is introduced in Chapter 1, along with the dissertation's motivations, contributions, and outlines. Chapter 2 examines changes in crane operation when the 'top stowing rule' that can be treated with foldable containers is applied and shows that global optimization is more effective than local optimization. In addition, we suggested the cost-sharing method to deal with fairness issues for additional costs between ports when the global optimization method is fully introduced. Chapter 3 shows that foldable containers in the hinterland have the effect of changing routes in addition to reducing transportation space and analyzes how the results change according to various scenarios and policies. Chapter 4 analyzes the effectiveness of foldable containers for different dynamic situations. Moreover, the managerial insight was derived that the optimal number of foldable containers suitable for each situation can be obtained and responded to leasing policies. Chapter 5 describes the conclusions of this dissertation and discusses future research. The problem definition and solution methods proposed in this dissertation can be seen as meaningful in both academic and industrial aspects. For academia, we presented real-world problems in the field and suggested ways to solve problems effectively. For industry, we offered solutions through quantification and modeling for real problems related to foldable containers. We expect that industrial development and academic achievement can be achieved together through this dissertation.Chapter 1 Introduction 1 1.1 Containerization and foldable container 1 1.2 Research motivations and contributions 3 1.3 Outline of the dissertation 6 Chapter 2 Efficient stowage plan with loading and unloading operations for shipping liners using foldable containers and shift cost-sharing 7 2.1 Introduction 7 2.2 Literature review 10 2.3 Problem definition 15 2.4 Mathematical model 19 2.4.1 Mixed-integer programming model 19 2.4.2 Cost-sharing 24 2.5 Computational experiment and analysis 26 2.6 Conclusions 34 Chapter 3 Effects of using foldable containers in hinterland areas 36 3.1 Introduction 36 3.2 Single depot repositioning problem 39 3.2.1 Problem description 40 3.2.2 Mathematical formulation of the single depot repositioning problem 42 3.2.3 Effects of foldable containers 45 3.3 Multi-depot repositioning problem 51 3.4 Computational experiments 56 3.4.1 Experimental design for the SDRP 57 3.4.2 Experimental results for the SDRP 58 3.4.3 Major and minor effects with the single depot repositioning problem 60 3.5 Conclusions 65 Chapter 4 Effect of foldable containers in dynamic situation 66 4.1 Introduction 66 4.2 Problem description 70 4.3 Mathematical model 73 4.4 Computational experiments 77 4.4.1 Overview 77 4.4.2 Experiment results 79 4.5 Conclusions 88 Chapter 5 Conclusion and future research 90 Bibliography 94 ๊ตญ๋ฌธ์ดˆ๋ก 99๋ฐ•

    Heuristic container placement algorithms

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    Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2003Includes bibliographical references (leaves: 56-58)Text in English; Abstract: Turkish and Englishviii, 72 leavesWith the growth of transportation over sea; defining transportation processes in a better way and finding ways to make transportation processes more effective have become one of the most important research areas of today. Especially in the last quartet of the previous decade, the computers had become much powerful tools with their impressive amount of data processing cababilites. It was imminent that computers had begun taking serious roles in the system development studies. As a result; constructing models for the processes in container terminals and processing the data with the computers create opportunities for the automation of various processes in container terminals. The final step of these studies is the full automation of terminal activities with software packages that combine various functions focused on various processes in a single system.This study is about a project that had been made for a container terminal owned by a special company. During this study; there had been discussions with experts about the subject, and container handling processes in the terminal had been analyzed in order to define the main structure of the yard management software to be created.This study focuses on the container handling activities over the yard space so as to create a basis for a computer system that will take part in the decisions during the container operations. Object oriented analysis and design methods are used for the definition of the system that will help the decisions in the yard operations. The optimization methodology that will be the core of the container placement decisions is based on using different placement patterns and placement algorithms for different conditions. These placement patterns and algorithms are constructed due to the container handling machinery that was being used in the terminal that this study has been made for

    Exact and Heuristic Methods for Integrated Container Terminal Problems

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    Sea Container Terminals

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    Due to a rapid growth in world trade and a huge increase in containerized goods, sea container terminals play a vital role in globe-spanning supply chains. Container terminals should be able to handle large ships, with large call sizes within the shortest time possible, and at competitive rates. In response, terminal operators, shipping liners, and port authorities are investing in new technologies to improve container handling infrastructure and operational efficiency. Container terminals face challenging research problems which have received much attention from the academic community. The focus of this paper is to highlight the recent developments in the container terminals, which can be categorized into three areas: (1) innovative container terminal technologies, (2) new OR directions and models for existing research areas, and (3) emerging areas in container terminal research. By choosing this focus, we complement existing reviews on container terminal operations
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