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Journal articles on the topic "Shipping Mathematical models":
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Gençer, Hüseyin, and M. Hulusi Demir. "Optimization of Empty Container Repositioning in Liner Shipping." Business and Management Horizons 8, no. 1 (January 23, 2020): 1. http://dx.doi.org/10.5296/bmh.v8i1.16327.
Empty container repositioning (ECR), which arises due to imbalances in world trade, causes extra costs for the container liner carrier companies. Therefore, one of the main objectives of all liner carriers is to reduce ECR costs. Since ECR decisions involve too many parameters, constraints and variables, the plans based on real-life experiences cannot be effective and are very costly. For this purpose, this study introduces two mathematical programming models in order to make ECR plans faster, more efficient and at the lowest cost. The first mathematical programming model developed in this study is a mixed-integer linear programming (MILP) model and the second mathematical programming model is a scenario-based stochastic programming (SP) model, which minimize the total ECR costs. Unlike the deterministic model, the SP model takes into account the uncertainty in container demand. Both models have been tested with real data taken from a liner carrier company. The numerical results showed that, in a reasonable computational time, both models provide better results than real-life applications of the liner carrier company.
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Vilenskii, O., S. Dushev, D. Lapshin, E. Novinskii, and A. Tatarskii. "MATHEMATICAL ANALYSIS OF AIRCRAFT TURBINE COLLISION WITH SHIPPING PACKAGE." PROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY. SERIES: NUCLEAR AND REACTOR CONSTANTS 2021, no. 3 (September 26, 2021): 106–22. http://dx.doi.org/10.55176/2414-1038-2021-3-106-122.
The aim of the paper is to substantiate the developed shipping package integrity on the basis of mathematical analysis of postulated scenarios for the heaviest dynamic effects using verified behavior models for applied structural materials and modern certified finite element software package. The shipping package is permitted to transfer to the limiting condition in the result of impact, when its further operation is not acceptable, and recovery of its functional condition is not expedient, excluding the possibility of falling out of the nuclear fuel (NF) or distortion of the relative position of the NF in the shipping package. The paper presents main analysis results of the process of an aircraft turbine collision with a shipping package. The calculation analysis was performed using the dynamic calculation module LS-DYNA of the certified software package ANSYS. The LS-DYNA module is meant for computational analysis of high linear dynamic processes under explicit scheme of integration of the dynamics equations. The completed full-scale mathematical 3D modeling permitted to carry out sufficiently deep and detailed analysis of dynamic processes, reducing the design duration, and it permitted to reduce the self-cost of the developed design. The obtained results of mathematical analysis of shipping package behavior during interaction with aircraft turbine enabled to form the approach to substantiation of equipment safety in incidents. The detailed design study performed at the design stage formed basis for the final appearance of the developed structure.
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ABRAMOV, A. D., and G. S. ABRAMOV. "ANALYSIS OF MATHEMATICAL MODELS OF MARITIME SHIPPING TRENDS IN A CRISIS ENVIRONMENT." Applied Questions of Mathematical Modeling 4, no. 2.2 (2021): 16–24. http://dx.doi.org/10.32782/kntu2618-0340/2021.4.2.2.1.
Field, David A., and Dennis E. Blumenfeld. "Supply Chain Inventories of Engineered Shipping Containers." International Journal of Manufacturing Engineering 2016 (December 5, 2016): 1–8. http://dx.doi.org/10.1155/2016/2021395.
Manufacturing operations that assemble parts often receive components in expensive highly engineered shipping containers. As these containers circulate among suppliers, assembly operations, and logistic providers, they require inspections and repairs. This paper presents mathematical models that predict the number of available containers as functions of damage, repair times, and scheduled daily production. The models allow making complex decisions with a few basic parameters. Results not only show a minimal investment in the number of containers and safety stock but also quantify the dependence on damage rates and repair times for ordering additional containers.
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Dulebenets, Maxim A. "Advantages and disadvantages from enforcing emission restrictions within emission control areas." Maritime Business Review 1, no. 2 (June 30, 2016): 107–32. http://dx.doi.org/10.1108/mabr-05-2016-0011.
Purpose Emissions produced by oceangoing vessels not only negatively affect the environment but also may deteriorate health of living organisms. Several regulations were released by the International Maritime Organization (IMO) to alleviate negative externalities from maritime transportation. Certain polluted areas were designated as “Emission Control Areas” (ECAs). However, IMO did not enforce any restrictions on the actual quantity of emissions that could be produced within ECAs. This paper aims to perform a comprehensive assessment of advantages and disadvantages from introducing restrictions on the emissions produced within ECAs. Two mixed-integer non-linear mathematical programs are presented to model the existing IMO regulations and an alternative policy, which along with the established IMO requirements also enforces restrictions on the quantity of emissions produced within ECAs. A set of linearization techniques are applied to linearize both models, which are further solved using the dynamic secant approximation procedure. Numerical experiments demonstrate that introduction of emission restrictions within ECAs can significantly reduce pollution levels but may incur increasing route service cost for the liner shipping company. Design/methodology/approach Two mixed-integer non-linear mathematical programs are presented to model the existing IMO regulations and an alternative policy, which along with the established IMO requirements also enforces restrictions on the quantity of emissions produced within ECAs. A set of linearization techniques are applied to linearize both models, which are further solved using the dynamic secant approximation procedure. Findings Numerical experiments were conducted for the French Asia Line 3 route, served by CMA CGM liner shipping company and passing through ECAs with sulfur oxide control. It was found that introduction of emission restrictions reduced the quantity of sulfur dioxide emissions produced by 40.4 per cent. In the meantime, emission restrictions required the liner shipping company to decrease the vessel sailing speed not only at voyage legs within ECAs but also at the adjacent voyage legs, which increased the total vessel turnaround time and in turn increased the total route service cost by 7.8 per cent. Research limitations/implications This study does not capture uncertainty in liner shipping operations. Practical implications The developed mathematical model can serve as an efficient practical tool for liner shipping companies in developing green vessel schedules, enhancing energy efficiency and improving environmental sustainability. Originality/value Researchers and practitioners seek for new mathematical models and environmental policies that may alleviate pollution from oceangoing vessels and improve energy efficiency. This study proposes two novel mathematical models for the green vessel scheduling problem in a liner shipping route with ECAs. The first model is based on the existing IMO regulations, whereas the second one along with the established IMO requirements enforces emission restrictions within ECAs. Extensive numerical experiments are performed to assess advantages and disadvantages from introducing emission restrictions within ECAs.
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Xiao, Ruiqi, Lin Pan, Hanbin Xiao, Han Xiao, and Ze Zhu. "Research of Intelligent Logistics and High-Quality Economy Development for Yangtze River Cold Chain Shipping Based on Carbon Neutrality." Journal of Marine Science and Engineering 10, no. 8 (July 27, 2022): 1029. http://dx.doi.org/10.3390/jmse10081029.
The current status of intelligent logistics and cold chain shipping research is a hot topic worldwide. Meanwhile, the study of regional logistics and regional economy, shipping logistics and regional economic theory and application methods, and the empirical analysis of the correlation between the Yangtze River shipping and the Yangtze River shipping economy have attracted a lot of attention. This research has revealed that the Internet of Things of Yangtze River shipping has a great impact on the Yangtze River and the importance of inland river economic development. This study presents the empirical analysis on the correlation between shipping logistics and the inland river economy, starting from qualitative and quantitative aspects, and taking Yangtze River shipping as the representative. The proposed mathematical models and qualitative data analysis are made on the relevant effects of intelligent logistics and cold chain shipping on an inland river economy including its impact on the industrial layout, international trade, and urbanization. The research results provide administrative decisions or guidance values for the economic development of inland river ports in the Yangtze River.
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Lim, Si-Yeong, and Sun Hur. "Determination of Optimal Shipping Quantity for Perishable Goods under Probabilistic Supply." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/274713.
The problems of shipping and transporting perishable goods are commonly considered in the literature as significant topics, but rarely did researchers adopt a probabilistic point of view in their models. It is common in SCM environments that the participating entities’ behaviors are random and unpredictable and so can only be modeled in a probabilistic way. In this paper, we consider the shipping problem of determining the optimal quantity of perishable products with a limited time to be stored in the warehouse. The optimal quantity minimizes the overall operational costs including those of inventory and shipping. We develop a mathematical model, from which the probability distribution function, mean, and variance of the length of the build-up period are derived and we establish a cost function for determining the optimal shipping value.
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Jiang, Xi, Haijun Mao, and Hao Zhang. "Simultaneous Optimization of the Liner Shipping Route and Ship Schedule Designs with Time Windows." Mathematical Problems in Engineering 2020 (December 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/3287973.
This paper proposes to address the problem of the simultaneous optimization of the liner shipping route and ship schedule designs by incorporating port time windows. A mathematical programming model was developed to minimize the carrier’s total operating cost by simultaneously optimizing the port call sequence, ship arrival time per port of call, and sailing speed per shipping leg under port time window constraints. In view of its structure, the nonlinear nonconvex optimization model is further transformed into a mixed-integer linear programming model that can be efficiently solved by extant solvers to provide a global optimal solution. The results of the numerical experiments performed using a real-world case study indicated that the proposed model performs significantly better than the models that handle the design problems separately. The results also showed that different time windows will affect the optimal port call sequence. Moreover, port time windows, bunker price, and port efficiency all affect the total operating cost of the designed shipping route.
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Zhang, Hengzhen, Lihua Lu, and Xiaofeng Wang. "Tactical and Operational Cooperative Empty Container Repositioning Optimization Model Based on Business Flow and Initial Solutions Generation Rules." Symmetry 11, no. 3 (February 28, 2019): 300. http://dx.doi.org/10.3390/sym11030300.
Due to the special role of empty containers in the container transportation process, empty container repositioning is a focal point in the shipping industry. For this problem, highly efficient and feasible optimization models are critical in improving the benefit for shipping companies and increasing their market competitiveness. Operational decisions are affected by tactical ones. Aimed at this point, we propose a tactical and operational cooperative empty container repositioning optimization model. To cut the search space and obtain the optimal solution quickly, several initial solutions generation rules are extracted, based on business flow. Furthermore, the reachable shipping distance may change when the calling sequence is different. An algorithm which calculates the reachable shipping distance matrix between ports is presented to solve this problem. Simulated cases are used to test the proposed model and algorithm. The results show that the cases can cope with the tactical and operational cooperative empty container repositioning optimization model. Moreover, some interesting conclusions also are deduced about the relationships among number of calling ports, total profits, leasing cost, calling port fee, number of Empty Containers Repositioned (ECR), and laden containers. All these can guide and assist the various decisions to be made. According to the homepage of Symmetry, its subject areas include Mathematics, Computer Science, Theory, and Methods. Their branches include information theory, computer-aided design, and so on. The topic of our paper is to solve this engineering application problem by using a mathematical optimization model and computer methods. That is, applying mathematical theory and computer methods to make decision results for the empty container repositioning problem in the shipping industry. It has certain economic value and practical significance. Obviously, it is consistent with the theme of Symmetry.
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Elmi, Zeinab, Prashant Singh, Vamshi Krishna Meriga, Krzysztof Goniewicz, Marta Borowska-Stefańska, Szymon Wiśniewski, and Maxim A. Dulebenets. "Uncertainties in Liner Shipping and Ship Schedule Recovery: A State-of-the-Art Review." Journal of Marine Science and Engineering 10, no. 5 (April 21, 2022): 563. http://dx.doi.org/10.3390/jmse10050563.
Each shipping line is expected to establish a reliable operating model, and the design of ship schedules is a key operational consideration. Long-term profits for shipping lines can be expected from a well-designed ship schedule. In today’s liner service design, managing the time factor is critical. Shipping schedules are prone to different unexpected disruptions. Such disruptions would necessitate a near-real-time analysis of port capacity and re-design of the original ship schedule to offset the negative externalities. Ship schedule recovery strategies should be implemented to mitigate the effects caused by disruptions at ports or at sea, which may include, but are not limited to, ship sailing speed adjustment, handling rate adjustment at ports, port skipping, and port skipping with container diversion. A proper selection of ship schedule recovery strategies is expected to minimize deviations from the original ship schedule and reduce delays in the delivery of cargoes to the destination ports. This article offers a thorough review of the current liner shipping research primarily focusing on two major themes: (1) uncertainties in liner shipping operations; and (2) ship schedule recovery in response to disruptive events. On the basis of a detailed review of the available literature, the obtained results are carefully investigated, and limitations in the current state-of-the-art are determined for every group of studies. Furthermore, representative mathematical models are provided that could be further used in future research efforts dealing with uncertainties in liner shipping and ship schedule recovery. Last but not least, a few prospective research avenues are suggested for further investigation.
Dissertations / Theses on the topic "Shipping Mathematical models":
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Agarwal, Richa. "Network design and alliance formation for liner shipping." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-07082007-213229/.
Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2008. Professor Michael D. Meyer, Committee Member ; Professor Ozlem Ergun, Committee Chair ; Professor Ellis Johnson, Committee Member ; Professor George L. Nemhauser, Committee Member ; Professor H. Venkateswaran, Committee Member.
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Veeraragavan, Ramanan. "DROP-SHIPPING AT A PROMOTIONAL PRODUCTS DISTRIBUTOR." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1302893057.
Gourlay, Tim. "Mathematical and computational techniques for predicting the squat of ships." 2000. http://thesis.library.adelaide.edu.au/public/adt-SUA20010217.015116/index.html.
Bibliography: p. 145-148 Electronic publication; full text available in PDF format; abstract in HTML format. This thesis deals with the squat of a moving ship, that is, the downward displacement and angle of trim caused by its forward motion. The aim is to be able to predict accurately the squat of any ship at any given speed and water depth. (introduction) Electronic reproduction.[Australia] :Australian Digital Theses Program,2001.
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WadeChang and 張偉德. "Mathematical models of optimal ambulance redeployment for shipping mass casualties in the emergency medical services system." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/36585571481308966636.
碩士 國立成功大學 工業與資訊管理學系 104 The aim of this study included developing mathematical models of optimal ambulance redeployment for shipping mass casualties in an emergency medical services system by using integer programming. Additionally, the objectives of the study involved minimizing the total waiting time for casualties. In the study, two ambulance redeployment problems, namely (1) Ambulance Dispatching Problem with the Initial Location provided, and (2) Ambulance Dispatching Problem with a Flexible initial Location, were investigated. It was assumed that the number of event points, hospitals, and patients were given for both problems. Although both problems required solving for optimal ambulance routings, the latter problem focused more on initial ambulance deployment. An integer programming model was formulated on a time space network for the first problem. However, the model was extremely time consuming. This was followed by developing a greedy heuristics based on a nearest first concept, in which the ambulance closest to a casualty was assigned to the casualty. In order to derive a fair waiting time, another heuristics that allowed each casualty to have a more equal waiting time was also employed. With respect to the second problem, certain properties of optimal redeployment were first derived for a hospital case, and then greedy heuristics were derived for other general cases. Unfortunately, a specific relationship between the optimal number of ambulances and the distance of the number of casualties to event points could not be derived from the results of the study.
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Smale, Nicholas John. "Mathematical modelling of airflow in shipping systems : model development and testing : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Food Technology at Massey University, Palmerston North, New Zealand." 2004. http://hdl.handle.net/10179/1718.
Content removed due to copyright restrictions: Smale, N.J. Tanner D.J., Amos N.D., Cleland D.J. (2003). Airflow properties of packaged horticultural produce - a practical study. Acta Horticulturae, (599), 443-450 Horticultural exports are of economic significance to New Zealand. Only through providing consistently high quality products to distant markets can New Zealand hope to command a premium price. New Zealand's two major horticultural exports, apples and kiwifruit, are transported to foreign markets by sea; either in refrigerated holds on-board cargo vessels or in refrigerated containers. Long transit times mean that conditions in these systems must be carefully controlled to ensure high quality product arrives at market. Effective distribution of air is a key consideration in transport systems. A mathematical model to describe the flow of air in marine transport systems was developed. The model was based on a resistance network framework, relying on simplification of the complex geometry within the refrigerated space to a discrete number of flow paths and points of convergence and divergence. Correlations quantifying the flow resistance of each channel were required. Some of these correlations were already available, and some were developed specifically for this purpose. A general method for predicting the flow resistance of enclosed conduits based on the Darcy-Weisbach, laminar and Colebrook equations was found to be sufficiently accurate for use. The flow resistance of horizontally vented horticultural packages was quantified and the cause of the flow resistance investigated. Entrance and exit effects were found to be significant, and a relationship between vent size and flow resistance was developed. Air interchange between a vented carton and the general refrigerated space was shown to be a significant mode of heat transfer. The effect of vent design on the rate of air interchange was found to be complex. Quantitative relationships between vent characteristics and rates of air interchange could not be developed; however, some general observations were made. Vent size, aspect ratio and alignment were all found to affect the rate of interchange. An existing method for determining in-package fluid velocities was refined to improve the accuracy of data and reduce the measurement time. A low-cost method for measuring airflows in transport systems was also developed utilising thermistors. These thermistor anemometers were used to monitor velocities in four shipments of fresh produce from New Zealand. Three of the four vessels monitored showed large variation in the circulation rate in the period between evaporator defrosts due to frosting. In some cases, frosting was severe enough to cause loss of delivery air temperature control. Management of defrosts was identified as an area of improvement in refrigerated hold management. Validation of the model developed was performed using four systems: a laboratory scale test-rig, a 40' container and two of the surveyed refrigerated holds. Airflow predictions were used with a heat transfer model to predict in-package temperatures. Comparison of measured and predicted flows and in-package temperatures showed good agreement given uncertainty of geometry and input data. The implications of altering a number of operational and design variables in both containers and refrigerated holds were investigated using the developed models. Increased circulation rates were found to increase cooling rates and reduce temperature variability in both types of systems; however, the magnitude of the benefit decreased with increasing circulation rate. Removal of the floor gratings and the use of pallet bases as an air distribution channel was found to increase temperature variability in both types of systems. The magnitude of the increase was small in a 40' container but substantial in a refrigerated hold. The correlations and models developed in this thesis provide useful tools to analyse and optimise the design and operation of refrigerated marine transport systems.
Books on the topic "Shipping Mathematical models":
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Hummels, David. The trade reducing effects of market power in international shipping. Cambridge, MA: National Bureau of Economic Research, 2007.
Nelson, T. A. Methods for impact analysis of shipping containers. Washington, DC: Division of Safeguards and Transportation, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1987.
Wendel, M. W. HTAS2, a three-dimensional transient shipping cask analysis tool. Washington, DC: Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.
Wendel, M. W. HTAS2, a three-dimensional transient shipping cask analysis tool. Washington, DC: Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1990.
Laulajainen, Risto. Operating panamax dry bulk carriers on the seven seas. Gothenburg, Sweden: Gothenburg School of Economics and Commercial Law, 2001.
Weintrit, Adam. Methods and algorithms in navigation: Marine navigation and safety of sea transportation. Edited by Neumann Tomasz. Boca Raton: CRC Press, 2011.
Book chapters on the topic "Shipping Mathematical models":
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Buballa, Melissa, Daniel Wetzel, Kay Lenkenhoff, and Kevin Tierney. "A Mathematical Model to Route Technicians for Inland Waterway Shipping." In Lecture Notes in Computer Science, 631–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59747-4_41.
Lyu, Yiyang, Haonan Xu, Kangnong Hu, and Biao Zhang. "Ordering and Shipping Strategies of Materials for Company." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220069.
Ordering and shipping of raw materials is a very important part of a company’s production operations. How to properly arrange the scheme to minimize the transportation and ordering cost is a great concern for enterprises. In this paper, two related models are proposed for the C problem of the Contemporary Undergraduate Mathematical Contest in Modeling: a supplier evaluation model based on Entropy Weight Method, TOPSIS Algorithm and other methods, and an ordering and transportation target planning model based on seasonality analysis and other methods. The former establishes seven supplier importance evaluation indexes based on quantitative analysis from two perspectives of supplier supply capability and business enterprise closeness, analyzes the influence weights of the seven indexes by Entropy Weight Method, and uses TOPSIS Algorithm to calculate the rating ranking of each supplier. The latter is based on the contribution rate of goods, material selection tendency, and corporate interest as the primary factors for enterprises to determine the scheme under different circumstances, and the future supply and demand is predicted through seasonal analysis to establish a target planning model to determine the shopping scheme.
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Bernardini, Alessandro, Irene Lavagnini, Chiara Dall’Armi, Davide Pivetta, Rodolfo Taccani, Fabrizio Cadenaro, Matteo Roiaz, et al. "The REShiP Project: Renewable Energy for Ship Propulsion." In Progress in Marine Science and Technology. IOS Press, 2022. http://dx.doi.org/10.3233/pmst220081.
In recent years the acknowledgement of the relations between the emissions of exhaust gas, in particular CO2, and their effects on climate and environment has grown to a wide level. Many countries and international organizations have begun to work to mitigate the problem and drive the society towards more sustainable sources of energy. Shipping is no exception and in 2018 the IMO – International Maritime Organization set the ambitious goal of reducing the CO2 emissions of the shipping industries of at least 50% within 2050, compared to the levels of 2008. This has introduced the need to research and develop new, sustainable energy sources and power systems for ships. The REShiP projects is aimed to identify a type of ship which would be suitable for an early adoption of a carbon free or carbon neutral fuel and a matching power generation system, tailored on specific routes. A small ferry powered by a hybrid combination of liquid hydrogen-fuelled fuel cells and Lithium-ion batteries has thus been identified. A mathematical model was developed to optimize the usage of fuel cell and batteries based on the ship operative profile. A multi objective optimization was implemented to minimize system performance degradation. To support the mathematical model a 7 kW PEMFC power generating unit was assembled and relevant data have been analysed. Following a regulatory framework research and in lack of comprehensive prescriptive rules, the design of the ferry and the prototype was done in accordance with the alternative design approach based on the risk assessment methodology, reaching a level of confidence appropriate to award an approval in principle.
Conference papers on the topic "Shipping Mathematical models":
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Perera, Lokukaluge P., and Brage Mo. "Digitalization of Seagoing Vessels Under High Dimensional Data Driven Models." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61011.
Modern ships are supported by internet of things (IoT) to collect ship performance and navigation information. That should be utilized towards digitalization of the shipping industry. However, such information collection systems are always associated with large-scale data sets, so called Big Data, where various industrial challenges are encountered during the respective data handling processes. This study proposes a data handling framework with data driven models (i.e. digital models) to cope with the shipping industrial challenges as the main contribution, where conventional mathematical models may fail. The proposed data driven models are developed in a high dimensional space, where the respective ship performance and navigation parameters of a selected vessel are separated as several data clusters. Hence, this study identifies the distribution of the respective data clusters and the structure of each data cluster in relation to ship performance and navigation conditions. An appropriate structure into the data set of ship performance and navigation parameters is assigned by this method as the main contribution. However, the domain knowledge (i.e. vessel operational and navigation conditions) is also included in this situation to derive a meaningful data structure.
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Liu, Diantao, Song Zhou, and Yuanqing Zhu. "Use Natrium-Alkali Method to Remove SO2 From Shipping Exhaust Gas." In ASME 2013 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icef2013-19022.
In recent years, the purification of sulfur oxides in shipping exhaust is becoming the focus of attention. It is especially important about how to accurately determine and control the various factors affecting desulfurization efficiency. This paper built a mathematical model, mainly focusing on action and mass transfer characteristic of gas-liquid absorption progress of natrium-alkali desulphurization system. It is based on gas-liquid complicated reactions of packed absorption tower, obtaining the influence of concentration distribution of various components in liquid phase, as well as partial pressure, pH value, mass transfer rate, absorption enhancement factor, liquid gas ratio and other key parameters on SO2 absorption rate. As shown in the models, the removal efficiency of 97.8% is equivalent to use a sulfur content of 3.5% fuel oil under the restrictions in emission control area. According to the calculation of 4.0 MW diesel engines, the minimum supply rate of absorption liquid is 75.8 L/h. These data have the reference significance for the development and evaluation of shipping flue gas desulfurization systems.
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Peddle, Adam, Jie Dang, and Tom van Terwisga. "Towards a Model for Propeller-Ice Interaction." In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83088.
A reduced level of Arctic sea ice in recent years has resulted in an increase in commercial interest in shipping through previously inaccessible waters, such as the Northwest Passage. This interest has been significantly reinforced by the fact that vast amounts of natural resources are expected to exist in the Arctic regions. As such, the operation of vessels in ice-covered waters is currently a research topic of great relevance. Computational methods such as those based on potential flow have become invaluable in the evaluation and optimization of marine propellers, though as of this writing there exists a deficit of proven software tools to evaluate the operation of propellers in icy waters. In order to properly develop a model and a tool, a physical understanding of the involved processes is vital. A Cooperative Research Ships (CRS) project has been initiated with the ultimate aim of developing a software tool for the evaluation of propellers operating in ice which will operate within the CRS PROCAL environment. The research described in this paper is the first step in the development of such a tool. This paper is intended to serve primarily as a review of the existing literature on mathematical models of propeller-ice interaction as well as their numerical solutions. Such a study serves as a vital first step in the development of a complete method for propeller ice interaction. In addition to providing an overview of the current level of understanding in the field, this paper intends also to identify which areas are well understood and which require further investigation. It will highlight the strengths and shortcomings of current models with the intention of advancing towards the final model.
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Perera, Lokukaluge P., and Brage Mo. "Data Analytics for Capturing Marine Engine Operating Regions for Ship Performance Monitoring." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54168.
This study proposes marine engine centered data analytics as a part of the ship energy efficiency management plan (SEEMP) to overcome the current shipping industrial challenges. The SEEMP enforces various emission control measures, where ship energy efficiency should be evaluated by collecting vessel performance and navigation data. That information is used to develop the proposed data analytics that are implemented on the engine-propeller combinator diagram (i.e. one propeller shaft with its own direct drive main engine). Three marine engine operating regions from the initial data analysis are noted under the combinator diagram and the proposed data analytics (i.e. data clustering methodology) to capture the shape of these regions are implemented. That consists of implementing the Gaussian Mixture Models (GMMs) to classify the most frequent operating regions of the marine engine. Furthermore, the Expectation Maximization (EM) algorithm is used to calculate the respective parameters of the GMMs. This approach can also be seen as a data clustering algorithm that facilitated by an iterative process for capturing each operating region of the marine engine (i.e. the combinatory diagram) with the respective mean and covariance values. Hence, these data analytics can be used in the SEEMP to monitor the performance of a vessel with respect to the marine operating regions. Furthermore, it is expected to develop advanced mathematical models of ship performance monitoring under these operational regions of the marine engine as the future work.
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Windarto, Fatmawati, and Nadiyah Nurlaily Nuzulia. "On mathematical model approach to competition dynamic of shipping companies in Surabaya." In INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0042176.
Lapteva, Tatyana Ivanovna, Lyudmila Anatolyevna Kopaeva, Marat Nabievich Mansurov, Vladimir Ivanovich Efremov, and Viktor Nikolayevich Ilyuhin. "Efficiency Criteria of Operations in the Marine Resuce Support for Hydrocarbons Production and Transportation in the Arctic Zone of the Russian Federation." In SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206605-ms.
Abstract The creation of an effective system of rescue support (the abbreviation ASO is adopted on the territory of the Russian Federation) in the implementation of the processes of oil and gas production and transportation in the Arctic seas of Russia is an urgent and difficult task. The feasibility of creating such a system for offshore oil and gas production facilities is due to the statistics of accidents and incidents at such facilities, as well as the fact that the Merchant Shipping Code of the Russian Federation, in essence, does not consider the applicability of the existing system of rescue operations on platforms that are exploring and developing mineral and other non-living resources the seabed and its bowels. The successful solution of numerous problems of rescue support, including the requirements for the quality of the system, indicators and criteria for the effectiveness of the operations carried out, can be significantly increased by using mathematical models that make it possible to identify patterns in the processes of performing urgent work, improve the quality of planning, and, consequently, the efficiency of management of various organizational systems. Applied in many areas of activity, the scientific direction "research of operations" is advisable to use when system generation of rescue support within the framework of improving the system of technical regulation of oil and gas enterprises. Determining the effectiveness of a purposeful process quantitatively will allow, on a scientific basis, with the involvement of modern mathematical methods, to solve the problem of increasing the effectiveness of the use of forces and means of the marine rescue support, including the functioning of the emergency support system in the mode of daily and emergency activities, as well as the preparation of the necessary forces and means. The novelty of the presented work lies in the application of the provisions of the theory and the apparatus of operations research to assessing the effectiveness of the system of the marine rescue support, which will further serve as a methodological basis for the development of a number of documents and provisions that are of practical importance: methods, requirements for the system of rescue support, documents in the field of control over the rescue system, etc.
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Li, Mingyu, and Xin Wang. "Applying Operations Research to Optimize Annual Delivery Program (ADP) in LNG Transport: Opportunities and Challenges." In SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. SPE, 2023. http://dx.doi.org/10.2118/214470-ms.
Abstract With the trade of Liquefied Natural Gas (LNG) experiencing strong growth in the past decade, the need for better utilization of LNG transport capacity and higher overall efficiency of the LNG supply chain also increases. This paper investigates and discusses the application of Operations Research methods in modeling and optimizing annaul delivery program (ADP) in the LNG export industry. Aiming to generate smooth and safe LNG cargo offtake and dispatch, berthing, delivery, and shipping schedules, based on production predictions, fleet characteristics and delivery contracts, we propose a mathematical optimization model considering LNG production and storage, cargo operations, and shipping simultaneously. A computational study is also conducted to investigate the practically of solving the resulting mixed integer programming problem using a state-of-the-art numerical solver.
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Nyland, Joakim, Håkon Teigland, and Thomas J. Impelluso. "Use of the Moving Frame Method in Dynamics to Model Gyroscopic Control of Small Crafts at Sea: Theory — Part 1." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70108.
This paper presents new method in dynamics — the Moving Frame Method (MFM) — and uses it to address a challenge faceing Norwegian shipping. Large offshore renewable energy investments require the use of maintenance boats to keep them in operable conditions. Unfortunately, due to rough seas in some project locations, the transferring of crew members from vessel to turbine or platform is fraught with safety concerns. These concerns can be alleviated by controlling the motion of the transfer vessel. This research studies an add-on stability system for marine vessels to ease the process of offshore platform maintenance and crew member safety. Specifically, this research concerns an internal active system — an active gyroscopic stabilizer — and a more powerful method of theoretical and computational mechanics. This paper derives the equations of motion of a model system equipped with dual gyroscopic stabilizers, using the MFM. The equations of motion are numerically solved to obtain a numerical simulation. The method exploits a variational principle with a restricted variation of the angular velocity. The MFM simplifies dynamics, enables a consistent notation, from 2D to 3D analysis and exploits matrix algebra in lieu of the vector cross product. Finally, in a companion paper to this one, the mathematical model and the numerical simulation is verified with experiments conducted in a large-scale wave tank.
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Yue, Lei, Zhiguo Zhang, and Dakui Feng. "The Analysis and Application of Numerical Wave Tank Based on the Viscous Fluid." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20922.
The so-called numerical wave tank is to use a mathematical model to simulate the process of making waves and interaction between waves and structures. Shipping water occurs when the wave height exceeds the deck level of a floating vessel. A large amount of seawater flows down onto the deck. It damages deck equipment and causes even submergence. The water on deck is called “Green Water”, and it is dangerous for ships. It is of great significance to analyze and simulate wave and green water phenomenon. This paper developed a three-dimensional numerical wave tank and presented VOF method to deal with the movement with free surface, and then simulated process of wave generation numerically. A two-dimensional numerical simulation of the green water phenomenon of a hull placed in regular wave was performed. The process of wave running up and wave deforming were obtained. The results show that the present numerical scheme and methods can be used to simulate process of wave generation and phenomenon of green water on deck, and to predict and analyze the impact forces between waves and structures due to green water.
Reports on the topic "Shipping Mathematical models":
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An Optimization Model for Die Sets Allocation to Minimize Supply Chain Cost. SAE International, July 2022. http://dx.doi.org/10.4271/2022-01-5057.
In this paper, a novel mixed-integer programming model is developed to optimally assign the die sets to candidate plants to minimize the total costs. The total costs include freight shipping stamped parts to assembly plants, die set movement, outsourcing, and utilization. Therefore, the objective function is weighted multi-criteria and it takes into consideration some of the key constraints in the real-world condition including “must-move die sets”. An optimization tool has been developed that takes several inputs and feeds them as the input to the mathematical model and generates the optimal assignments with the directional costs as the output. The tool has been tested for several plants at Ford and has proved its robustness by saving millions of dollars. The developed tool can easily be applied to other manufacturing systems and original equipment manufacturers (OEMs).
