124 research outputs found

    ํ•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•

    Solving the generalized multi-port container stowage planning problem by a matheuristic algorithm

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    We focus on a simplified container stowage planning problem where containers of different size and weight must be loaded and unloaded at multiple ports while maintaining the stability of the ship. We initially investigate how the difficulty in solving the problem changes with and without the consideration of container sizes and weight constraints. For this purpose, we provide integer programming formulations for the general problem as well as some special cases with identical container size and/or identical weights and evaluate their performance in randomly generated small- and medium-scale instances. We develop a matheuristic procedure, namely, an insert-and-fix heuristic, exploiting the special structure of the proposed formulations. The Insert-and-Fix method, in combination with a constructive algorithm that gives the solver an initial solution in each iteration, provides solutions with a low number of rehandles for instances with up to 5000 TEUs.Spanish Ministry of Science, Innovation, and Universities, FPU Grant A-2015-12849 and under the project โ€œOPTEP-Port Terminal Operations Optimizationโ€ (No. RTI2018-094940-B-I00) financed with FEDER, Spain funds. The second author acknowledges the partial support by Data-driven logistics, Spain (FWO-S007318N) and Internal Funds KU Leuven, Spain

    Optimization in liner shipping

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    Including containers with dangerous goods in the Slot Planning Problem

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    Container stowage problems are rich optimization problems with both high economic and environmental impact. These problems are typically decomposed into a master bay planning phase, which distributes containers to bay sections of the vessel, and a slot planning phase, which assigns a specific slot within the bay section to each container. In this paper, we extend existing models for slot planning by considering containers with dangerous goods. An important contribution of this paper is that we provide a model closer to the real-world problems faced by planners, and thus solutions based on this model should be easier to implement in practice. We show that our model can be solved to optimality in reasonable time using standard software like Gurobi or CPLEX. Keywords: operations research, container stowage, optimization, logisticspublishedVersio

    Stowage Planning with Optimal Ballast Water

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    Sustainable Short Sea Roll-on Roll-off Shipping through Optimization of Cargo Stowage and Operations

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    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

    Models and Algorithms for Container Vessel Stowage Optimization

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