Relevant bibliographies by topics / Transportation Management Mathematical models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transportation Management Mathematical models'

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Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Transportation Management Mathematical models"

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Müller, Sven. "Advanced spatial analytics and management: models, methods and applications." Problems and Perspectives in Management 14, no. 2 (May 11, 2016): 67–73. http://dx.doi.org/10.21511/ppm.14(2).2016.07.

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In this contribution, a concept of the integration of spatial predictive analytics and mathematical programs for spatial decision making – namely, advanced spatial analytics and management – is outlined. In particular, selected methods for spatial predictive analytics are discussed, including spatial econometrics and discrete choice analysis. Then, the integration of spatial predictive models in mathematical programs (prescriptive analytics) for facility location and districting is demonstrated. The paper includes illustrative applications which stem from health care, retail, marketing, logistics, and transportation. Based on the discussion, future research perspectives are developed
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Бурмистрова, Olga Burmistrova, Пильник, and Yuliya Pilnik. "Development of methodology bases of the network mathematical models transportation and technological flows timber." Forestry Engineering Journal 6, no. 2 (April 28, 2017): 63–68. http://dx.doi.org/10.12737/19955.

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The mathematical-mechanical modeling - is the study of complex transport systems (processes) through on-the structure and the research object model. Mathematical models allow a pre-selection of optimal solutions according to specific criteria. These scientifically based and are designed to help leaders in the development, validation and acceptance of efficient, high-quality management decisions in the forest complex. But it must be a pony-mother, that any solution obtained by calculating the mathematical model, optimal only for one or more criteria.
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Chen, Zhang, Liyuan Liu, Li Li, and Hui Li. "A Two-Stage Model for Project Optimization in Transportation Infrastructure Management System." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/914515.

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Mathematical optimization is very important for project decision in the Transportation Infrastructure Management System (TIMS). However, it has not been widely employed in TIMS due to poor performance of conventional optimization models in calculation speed and practical application. Therefore, it is necessary to improve the performance of optimization models. According to the process of decision-making in transportation management, a novel two-stage project optimization model, including budget allocation and project distribution, was proposed in this paper. Moreover, the methods of dynamic programming (DP) and genetic algorithm (GA) were applied to obtain an effective solution. The findings indicate that the new optimization method can provide a satisfactory and reasonable maintenance schedule for transportation infrastructure maintenance agencies whose routine management will benefit from the newly proposed model.
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Kyrychenko, Hanna, Yurii Statyvka, Oleh Strelko, Yulia Berdnychenko, and KHalyna Nesterenko. "Assessment of Cargo Delivery Quality Using Fuzzy Set Apparatus." International Journal of Engineering & Technology 7, no. 4.3 (September 15, 2018): 262. http://dx.doi.org/10.14419/ijet.v7i4.3.19800.

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The influence of the existing operation conditions for the time of cargo transportation, i.e. ferrous metals to the port station, was investigated. It was proposed to carry out the management of cargo delivery on the basis of determining the values of cargo handling duration while implementing the stages of the schedule. It was proposed to carry out assessment of the delivery process, including transportation using the fuzzy set apparatus. To determine the quality of transportation, an ordered categorized scale of values of the duration of cargo's staying in certain conditions at delivery stages was proposed. The assessment of deviations at all the stages of transportation with the use of linguistic definitions of conditions allows quantifying such an indicator as the transportation quality. The characteristics of deviations during transportation are provided in the linguistic form to the dispatching unit for making a decision. The revealed regularities in deviations from the standard schedules of trains during delivery of cargos are an objective basis for taking into account them in the mathematical models of the forecast of time of cargo delivery at each of the defined stages of transportation. The data on the forecasted and actual transportations are accumulated in the existing information base, forming data files for assessing the quality of the transportation process, the adequacy of the mathematical model and correcting of the model in case of significant organizational or technical changes.
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Samanta, Bablu, and Kumar Majumder. "Entropy based transportation model: A geometric programming approach." Yugoslav Journal of Operations Research 17, no. 1 (2007): 43–54. http://dx.doi.org/10.2298/yjor0701043s.

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The entropy model has attached a good deal of attention in transportation analysis, urban and regional planning as well as in other areas. This paper shows the equivalence of entropy maximization models to geometric programs. To provide a better understanding of this entropy based transportation model they are analyzed by geometric programming. Dual mathematical programs and algorithms are also obtained and are supported by an illustrative example. .
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Díaz-Parra, Ocotlán, Jorge A. Ruiz-Vanoye, Beatriz Bernábe Loranca, Alejandro Fuentes-Penna, and Ricardo A. Barrera-Cámara. "A Survey of Transportation Problems." Journal of Applied Mathematics 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/848129.

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This paper aims at being a guide to understand the different types of transportation problems by presenting a survey of mathematical models and algorithms used to solve different types of transportation modes (ship, plane, train, bus, truck, Motorcycle, Cars, and others) by air, water, space, cables, tubes, and road. Some problems are as follows: bus scheduling problem, delivery problem, combining truck trip problem, open vehicle routing problem, helicopter routing problem, truck loading problem, truck dispatching problem, truck routing problem, truck transportation problem, vehicle routing problem and variants, convoy routing problem, railroad blocking problem (RBP), inventory routing problem (IRP), air traffic flow management problem (TFMP), cash transportation vehicle routing problem, and so forth.
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Belokurov, Sergey, Vladimir Belokurov, Vladimir Zolnikov, Valery Lavlinsky, and Alexei Shtepa. "Models and Algorithms of Formation of Route Transport Network of a City." MATEC Web of Conferences 334 (2021): 01033. http://dx.doi.org/10.1051/matecconf/202133401033.

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Mathematical modeling in optimization problems of management of urban passenger transport in large cities is considered. The simulation of route of transportation network of large cities is determined by a relatively large number of their specific and individual properties which, in the process of their functioning, become more complex and interdependent ones. Algorithm of rational route network taking into account annular and circular routes in the schemes of organization of urban passenger transport is proposed.
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Amirov, Lochinbek F., Javlonbek S. Fayzullaev, Hasan Sh Rahimov, and Nargiza T. Shayusupova. "EMM of effective management of the integrated transportation and logistics system." E3S Web of Conferences 244 (2021): 08022. http://dx.doi.org/10.1051/e3sconf/202124408022.

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The authors chose the topic of an economic and mathematical model of effective management of an integrated transport and logical system, due to the relevance of the topic throughout the world and in all areas of activity. Effective integration is possible if it is based on the methodological principles of the concept of integrated logistics, when the economic interests of subjects and objects of the transport-logical system are coordinated while ensuring the implementation of the strategy and goals of the functioning of the system as a whole. The object of the research is the JSC “Uzbek Railways” of the Republic of Uzbekistan. The research priority is transport and logistics management. During the research, difficulties emerged that have created multivariance. The article presents modern methods of managing the transport and logistics system, the classification of modern methods of management concepts that make up the theoretical and methodological foundations of the integrated management of the transport and logistics system, the efficiency of delivery times for options A, B, C, D and the economic efficiency of managing the transport and logistics system. Transport and logistics models are considered in economics as a business concept, having calculated the best option, you can optimize the economic process. In the conclusion, recommendations are given on the use of a mathematical model, short-term and long-term strategies for effective management of the transport and logistics system are given.
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Raskin, Lev, Oksana Sira, and Viacheslav Karpenko. "TRANSPORTATION MANAGEMENT IN A DISTRIBUTED LOGISTIC CONSUMPTION SYSTEM UNDER UNCERTAINTY CONDITIONS." EUREKA: Physics and Engineering 4 (July 31, 2019): 82–90. http://dx.doi.org/10.21303/2461-4262.2019.00936.

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The problem of supply management in the supplier-to-consumer logistics transport system has been formed and solved. The novelty of the formulation of the problem consists in the integrated accounting of costs in the logistic system, which takes into account at the same time the cost of transporting products from suppliers to consumers, as well as the costs for each of the consumers to store the unsold product and losses due to possible shortages. The resulting optimization problem is no longer a standard linear programming problem. In addition, the work assumes that the solution of the problem should be sought taking into account the fact that the initial data of the problem are not deterministic. The analysis of traditional methods of describing the uncertainty of the source data. It is concluded that, given the rapidly changing conditions for the implementation of the delivery process in a distributed supplier-to-consumer system, it is advisable to move from a theoretical probability representation of the source data to their description in terms of fuzzy mathematics. At the same time, in particular, the fuzzy values of the demand for the delivered product for each consumer are determined by their membership functions. Distribution of supplies in the system is described by solving a mathematical programming problem with a nonlinear objective function and a set of linear constraints of the transport type. In forming the criterion, a technology is used to transform the membership functions of fuzzy parameters of the problem to its theoretical probabilistic counterparts – density distribution of demand values. The task is reduced to finding for each consumer the value of the ordered product, minimizing the average total cost of storing the unrealized product and losses from the deficit. The initial problem is reduced to solving a set of integral equations solved, in general, numerically. It is shown that in particular, important for practice, particular cases, this solution is achieved analytically. The paper states the insufficient adequacy of the traditionally used mathematical models for describing fuzzy parameters of the problem, in particular, the demand. Statistical processing of real data on demand shows that the parameters of the membership functions of the corresponding fuzzy numbers are themselves fuzzy numbers. Acceptable mathematical models of the corresponding fuzzy numbers are formulated in terms of bifuzzy mathematics. The relations describing the membership functions of the bifuzzy numbers are given. A formula is obtained for calculating the total losses to storage and from the deficit, taking into account the bifuzzy of demand. In this case, the initial task is reduced to finding the distribution of supplies, at which the maximum value of the total losses does not exceed the permissible value.
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Adhikari, Purnima, and Gyan Bahadur Thapa. "A Note on Feasibility and Optimality of Transportation Problem." Journal of the Institute of Engineering 10, no. 1 (July 31, 2014): 59–68. http://dx.doi.org/10.3126/jie.v10i1.10879.

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Transportation problem is one of the predominant areas of operations research, widely used as a decision making tool in engineering, business management and many other fields. In this paper, we present a brief literature review of transportation problem with its mathematical models in balanced and unbalanced cases. We report the basic feasible solution and hence the methods to attain optimal solution of the balanced transportation problem. Finally, we describe the primal-dual case of the problem with counter examples. DOI: http://dx.doi.org/10.3126/jie.v10i1.10879Journal of the Institute of Engineering, Vol. 10, No. 1, 2014, pp. 59–68
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Dissertations / Theses on the topic "Transportation Management Mathematical models"

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Morales, Juan Carlos. "Planning Robust Freight Transportation Operations." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14107.

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This research focuses on fleet management in freight transportation systems. Effective management requires effective planning and control decisions. Plans are often generated using estimates of how the system will evolve in the future; during execution, control decisions need to be made to account for differences between actual realizations and estimates. The benefits of minimum cost plans can be negated by performing costly adjustments during the operational phase. A planning approach that permits effective control during execution is proposed in this dissertation. This approach is inspired by recent work in robust optimization, and is applied to (i) dynamic asset management and (ii) vehicle routing problems. In practice, the fleet management planning is usually decomposed in two parts; the problem of repositioning empty, and the problem of allocating units to customer demands. An alternative integrated dynamic model for asset management problems is proposed. A computational study provides evidence that operating costs and fleet sizes may be significantly reduced with the integrated approach. However, results also illustrate that not considering inherent demand uncertainty generates fragile plans with potential costly control decisions. A planning approach for the empty repositioning problem is proposed that incorporates demand and supply uncertainty using interval around nominal forecasted parameters. The intervals define the uncertainty space for which buffers need to be built into the plan in order to make it a robust plan. Computational evidence suggests that this approach is tractable. The traditional approach to address the Vehicle Routing Problem with Stochastic Demands (VRPSD) is through cost expectation minimization. Although this approach is useful for building routes with low expected cost, it does not directly consider the maximum potential cost that a vehicle might incur when traversing the tour. Our approach aims at minimizing the maximum cost. Computational experiments show that our robust optimization approach generates solutions with expected costs that compare favorably to those obtained with the traditional approach, but also that perform better in worst-case scenarios. We also show how the techniques developed for this problem can be used to address the VRPSD with duration constraints.
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Xu, Suxiu, and 徐素秀. "Truthful, efficient auctions for transportation procurement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206443.

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Transportation procurement problem (TPP) is the problem of setting transportation service prices, delivery timing and quantity, and controlling costs and capacity to reduce empty movements and improve market efficiency. The purchase of transportation service is traditionally achieved using a request for proposal and long-term contracts. However, as business relationships become ever more flexible and dynamic, there has been an increasing need to hedge the risks of traditional transportation procurement such as entrance of new carriers and sudden drop in fuel price. This thesis proposes a holistic aution-based solution for the TPP. Four typical scenarios are investigated. The first scenario incorporates bilateral bidding into auction mechanism design for multi-unit TPP. This scenario considers one-sided Vickrey-Clarke-Groves (O-VCG) combinatorial auctions for a complex transportation marketplace with multiple lanes. This scenario then designs three alternative multi-unit trade reduction (MTR) mechanisms for the bilateral exchange transportation marketplace where all the lanes are partitioned into distinct markets. Proposed mechanisms ensure incentive compatibility, individual rationality, budget balance and asymptotical efficiency. The second scenario presents a double auction model for the TPP in a dynamic single-lane transportation environment. This scenario first addresses the TPP in a transportation spot market with stochastic but balanced or “symmetric” demand and supply. A periodic sealed double auction (PSDA) is proposed. This scenario then devises a modified PSDA (M-PSDA) to address the TPP with “asymmetric” demand and supply. The auctioneer is likely to gain higher profits from setting a relatively short auction length. However, it is optimal to run the auction (either PSDA or MPSDA) with a relatively large auction length, when maximizing either the social welfare or the utility of shippers and carriers (agents). When the degree of supply-demand imbalance is low, the auctioneer’s myopic optimal expected profit under supply-demand imbalance is larger than that under symmetric demand and supply. This third scenario presents an auction-based model for the TPP in make-toorder systems. The optimality of dynamic base-stock type (S(x)-like policy) is established. The optimal allocation can be achieved by running an O-VCG auction or a first-price auction with closed-form reserve prices. By mild technical modifications, the results derived in the infinite horizon case can all be extended to the finite horizon case. The fourth scenario proposes allocatively efficient auction mechanisms for the distributed transportation procurement problem (DTPP), which is generally the problem of matching demands and supplies over a transportation network. This scenario constructs an O-VCG combinatorial auction for the DTPP where carriers are allowed to bid on bundles of lanes. To simplify the execution of auction, this scenario next proposes a primal-dual Vickrey (PDV) auction based on insights from the known Ausubel auctions and the primal-dual algorithm. The PDV auction realizes VCG payments and truthful bidding under the condition of seller-submodularity, which implies that the effect of each individual carrier is decreasing when the coalition increases.
published_or_final_version
Industrial and Manufacturing Systems Engineering
Doctoral
Doctor of Philosophy
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Carbajal, Orozco Jose Antonio. "Transportation resource management in large-scale freight consolidation networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42758.

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This dissertation proposes approaches that enable effective planning and control of mobile transportation resources in large-scale consolidation networks. We develop models, algorithms, and methodologies that are applied to fleet sizing and fleet repositioning. Three specific but interrelated problems are studied. The first two relate to the trade-offs between fleet size and repositioning costs in transportation resource management, while the third involves a dynamic empty repositioning problem with explicit consideration of the uncertainty of future requirements that will be revealed over time. Chapter 1 provides an overview of freight trucking, including the consolidation trucking systems that will be the focus of this research. Chapter 2 proposes an optimization modeling approach for analyzing the trade-off between the cost of a larger fleet of tractors and the cost of repositioning tractors for a trucking company operating a consolidation network, such as a less-than-truckload (LTL) company. Specifically, we analyze the value of using extra tractor repositioning moves (in addition to the ones required to balance resources throughout the network) to attain savings in the fixed costs of owning or leasing a tractor fleet during a planning horizon. The primary contributions of the research in this chapter are that (1) we develop the first optimization models that explore the impact of fleet size reductions via repositioning strategies that have regularity and repeatability properties, and (2) we demonstrate that substantial savings in operational costs can be achieved by repositioning tractors in anticipation of regional changes in freight demand. Chapter 3 studies the optimal Pareto frontiers between the fleet size and repositioning costs of resources required to perform a fixed aperiodic or periodic schedule of transportation requests. We model resource schedules in two alternative ways: as flows on event-based, time-expanded networks; and as perfect matchings on bipartite networks. The main contributions from this chapter are that (1) we develop an efficient re-optimization procedure to compute adjacent Pareto points that significantly reduces the time to compute the entire Pareto frontier of fleet size versus repositioning costs in aperiodic networks, (2) we show that the natural extension to compute adjacent Pareto points in periodic networks does not work in general as it may increase the fleet size by more than one unit, and (3) we demonstrate that the perfect matching modeling framework is frequently intractable for large-scale instances. Chapter 4 considers robust models for dynamic empty-trailer repositioning problems in very large-scale consolidation networks. We investigate approaches that deploy two-stage robust optimization models in a rolling horizon framework to address a multistage dynamic empty repositioning problem in which information is revealed over time. Using real data from a national package/parcel express carrier, we develop and use a simulation to evaluate the performance of repositioning plans in terms of unmet loaded requests and execution costs. The main contributions from this chapter are that (1) we develop approaches for embedding two-stage robust optimization models within a rolling horizon framework for dynamic empty repositioning, (2) we demonstrate that such approaches enable the solution of very large-scale instances, and (3) we show that less conservative implementations of robust optimization models are required within rolling horizon frameworks. Finally, Chapter 5 summarizes the main conclusions from this dissertation and discusses directions for further research.
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Uyar, Emrah. "Routing in stochastic environments." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26554.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.
Committee Co-Chair: Erera, Alan L.; Committee Co-Chair: Savelsbergh, Martin W. P.; Committee Member: Ergun, Ozlem; Committee Member: Ferguson, Mark; Committee Member: Kleywegt, Anton J.. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Foucart, Renaud. "Essays in product diversity and urban transportation." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209677.

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This dissertation is about games with a continuum of players and horizontal differentiation. The first chapter explains how price dispersion can be a feature of a competitive market with homogenous information and production costs. The second chapter extends the study to group consumption. The third chapter is about multiple equilibria in urban transportation.
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished
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Brizendine, Laora Dauberman. "Low probability-high consequence considerations in a multiobjective approach to risk management." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-07112009-040353/.

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Toriello, Alejandro. "Time decomposition of multi-period supply chain models." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/42704.

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Many supply chain problems involve discrete decisions in a dynamic environment. The inventory routing problem is an example that combines the dynamic control of inventory at various facilities in a supply chain with the discrete routing decisions of a fleet of vehicles that moves product between the facilities. We study these problems modeled as mixed-integer programs and propose a time decomposition based on approximate inventory valuation. We generate the approximate value function with an algorithm that combines data fitting, discrete optimization and dynamic programming methodology. Our framework allows the user to specify a class of piecewise linear, concave functions from which the algorithm chooses the value function. The use of piecewise linear concave functions is motivated by intuition, theory and practice. Intuitively, concavity reflects the notion that inventory is marginally more valuable the closer one is to a stock-out. Theoretically, piecewise linear concave functions have certain structural properties that also hold for finite mixed-integer program value functions. (Whether the same properties hold in the infinite case is an open question, to our knowledge.) Practically, piecewise linear concave functions are easily embedded in the objective function of a maximization mixed-integer or linear program, with only a few additional auxiliary continuous variables. We evaluate the solutions generated by our value functions in a case study using maritime inventory routing instances inspired by the petrochemical industry. The thesis also includes two other contributions. First, we review various data fitting optimization models related to piecewise linear concave functions, and introduce new mixed-integer programming formulations for some cases. The formulations may be of independent interest, with applications in engineering, mixed-integer non-linear programming, and other areas. Second, we study a discounted, infinite-horizon version of the canonical single-item lot-sizing problem and characterize its value function, proving that it inherits all properties of interest from its finite counterpart. We then compare its optimal policies to our algorithm's solutions as a proof of concept.
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Husted, Christopher. "Improving the efficiency of assigning vehicles to auto carrier loads : a decision support system." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/18129.

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Thesis (MBA)--Stellenbosch University, 2008.
ENGLISH ABSTRACT: Auto Carrier Transport (ACT) is the motor ferrying division of Grindrod South Africa (Pty) Ltd and is contracted to transport the product of 15 different vehicle manufacturers. The division is responsible for ensuring that the combined annual volumes of each contract, totalling over 300 000 vehicles per year, are delivered to the right place, at the right time, and in the right condition. ACT's operating mandate thus focuses on the outbound logistics of new vehicles, which implies moving cars from either the local manufacturing plants, or from the import facilities at the ports, to the respective dealer networks all across Southern Africa. One of the key operational processes regarding the transportation of vehicles is the allocation of cars to carrier loads, also known as load building. Once cars have been allocated to a load, a carrier is then used to transport the load. The existing load building operation is completely manual, with operators simply assigning cars to loads as best they see fit. No support systems exist. Thus, given the complexity of the load building problem, and the manual processes used, existing load building practices result in suboptimal payload performances. A Linear Programming Model was developed to improve the manner in which vehicles are categorised, and then assigned to loads. When compared against the results of load building operators, it was found that the model could potentially improve the company's contribution margin by 5.8 percent.
AFRIKAANSE OPSOMMING: Auto Carrier Transport (ACT) is die motorvoertuig vervoerafdeling van Grindrod Suid Afrika (Edms) Bpk en word gekontrakteer vir die vervoer van die produkte van 15 verskillende motorvervaardigers. Die afdeling is verantwoorde1ik om te verseker dat die jaarlikse volume van elke kontrak (met 'n gekombineerde volume van meer as 300 000 motorvoertuie per jaar) betyds afgelewer word, op die regte plek en in die regte toestand. ACT se operasionele mandaat fokus dus op die uitgaande logistiek van nuwe motorvoertuie met die implikasie dat motorvoertuie vanaf die plaaslike vervaardingsaanleg, of die invoer fasiliteit by die hawens, na die ooreenstemende handelaarsnetwerke in Suider Afrika vervoer word. Een van die kern operasionele prosesse rakende die vervoer van motorvoertuie, wat bekendstaan as vragtoekening, is die toedeling van motorvoertuie tot vragmotor vragte. Sodra 'n motorvoertuig aan 'n vrag toegeken is, word dit deur middel van 'n vragmotor vervoer. Die bestaande vragtoekeningsproses word per hand uitgevoer deur operateurs wat eenvoudig motorvoertuie aan vragte toedeel soos hulle goeddink sonder die gebruik van enige besluitnemingsondersteuningstelsels. Aangesien vragtoekening 'n baie komplekse probleem is wat per hand uitgevoer word, is die resultate suboptimaal. 'n Lineêre programeeringsmodel is ontwikkel om die klassifikasie van motorvoertuie te verbeter waarna die motorvoertuie aan vragte toegeken word. In 'n vergelyking tussen die model se resultate en die van die operateurs is daar bevind dat die model die maatskappy se wins per eenheid met 5.8 persent kan verbeter.
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Yen, Jeffrey Lee. "A system model for assessing water consumption across transportation modes in urban mobility networks." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39527.

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Energy and environmental impacts are two factors that will influence urban region composition in the near future. One emerging issue is the effect on water usage resulting from changes in regional or urban transportation trends. With many regions experiencing stresses on water availability, transportation planners and users need to combine information on transportation-related water consumption for any region and assess potential impacts on local water resources from the expansion of alternative transportation modes. This thesis will focus on use-phase water consumption factors for multiple vehicle modes, energy and fuel pathways, roads, and vehicle infrastructure for a given transportation network. While there are studies examining life cycle impacts for energy generation and vehicle usage, few repeatable models exist for assessing overall water consumption across several transportation modes within urban regions. As such, the question is: is it possible to develop a traceable decision support model that combines and assesses water consumption from transportation modes and related mobility infrastructure for a given mobility network? Based on this, an object-oriented system model of transportation elements was developed using the Systems Modeling Language (SysML) and Model-Based Systems Engineering principles to compare water consumption across vehicle modes for assessing the resiliency of existing infrastructure and water resources. To demonstrate the intent of this model, daily network usage water consumption will be analyzed for current and alternative network scenarios projected by policies regarding the expansion of alternative energy. The model is expected to show variations in water consumption due to fluctuations in energy pathways, market shares, and driving conditions, from which the model should help determine the feasibility of expanding alterative vehicles and fuels in these networks. While spatially explicit data is limited compared to the national averages that are used as model inputs, the analytical framework within this model closely follows that of existing assessments and the reusable nature of SysML model elements allows for the future expansion of additional transportation modes and infrastructure as well as other environmental analyses.
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Hallmark, Shauna L. "Analysis and prediction of individual vehicle activity for microscopic traffic modeling." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/20736.

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Books on the topic "Transportation Management Mathematical models"

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Horowitz, Alan J. Statewide travel forecasting models. Washington, D.C: Transportation Research Board, 2006.

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Pyeon, Jae-Ho. Cost estimate modeling of transportation management plans for highway projects. San Jose, CA: Mineta Transportation Institute, College of Business, San José State University, 2012.

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Operations research in transportation systems: Ideas and schemes of optimization methods for strategic planning and operations management. Dordrecht: Kluwer Academic, 1998.

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Optimization in public transportation: Stop location, delay management and tariff zone design in a public transportation network. New York: Springer, 2006.

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Matematicheskoe obespechenie nekotorykh zadach planirovanii͡a i upravlenii͡a transportom. Vladivostok: Akademii͡a nauk SSSR, Dalʹnevostochnyĭ nauch. t͡sentr, 1985.

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Labbé, Martine. Operations research and decision aid methodologies in traffic and transportation management. Berlin: Springer, 1998.

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Voskresenskiĭ, I. V. Issledovanie integrirui︠u︡shchikh transportno-tekhnologicheskikh moduleĭ v gorno-dobyvai︠u︡shcheĭ promyshlennosti: Monografii︠a︡. Novosibirsk: Izd-vo Sibirskogo otd-nii︠a︡ Rossiĭskoĭ akademii nauk, 2006.

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Rodier, Caroline. Verifying the accuracy of regional models used in transportation and air quality planning. San Jose, CA: Mineta Transportation Institute, College of Business, San José State University, 2003.

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Wallace, Brett Patrick. Evaluation of travel demand management strategies in the trip generation phase of a network-based modeling approach. [Olympia]: Washington State Dept. of Transportation, 1998.

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Rodier, Caroline J. Verifying the accuracy of land use models used in transportation and air quality planning: A case study in the Sacramento, California, region. San Jose, CA: Mineta Transportation Institute, College of Business, San José State University, 2005.

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Book chapters on the topic "Transportation Management Mathematical models"

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Zakaryukin, Vasilii, Andrey Kryukov, and Aleksandr Cherepanov. "Mathematical Model of Multiphase Power Transmission Line." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 100–108. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_11.

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Katin, Viktor, Vladimir Kosygin, Midkhat Akhtiamov, and Igor Vol’khin. "Mathematical Models of the Output of Major Pollutants in the Process of Burning Water Fuel Oil Emulsions in Boiler Plants." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 987–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_107.

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Nesterova, Natalia, Vladimir Anisimov, Sergey Goncharuk, and Aleksandr Anisimov. "A Mathematical Model of the Estimated Cases for Designing a Multimodal Transport Network." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 177–83. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_19.

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Anisimov, Alexandr, and Vitaly Chetvergov. "Selection and Validation of the Mathematical Model for the Solution of the Optimization Problem of Fuel Cost Efficiency Improvement of the Locomotive Diesel Engines." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 31–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_4.

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Trinchenko, Aleksey, and Aleksandr Paramonov. "Low-Temperature Swirl Burning as Technological Method of Simultaneous Decrease in Emissions of Nitrogen and Sulfur Oxides (Part 1. Principles, Organization and Mathematical Model of Furnace Process)." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 1074–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_116.

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Li, Zongzhi. "Transportation decision models." In Transportation Asset Management, 517–605. Boca Raton ; London : CRC Press, [2018]: CRC Press, 2018. http://dx.doi.org/10.1201/9781315117966-17.

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Daganzo, Carlos F. "Mathematical Specification of Transportation Models." In Measuring the Unmeasurable, 663–78. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5079-5_28.

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Holst, Niels. "Mathematical Models." In Decision Support Systems for Weed Management, 3–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44402-0_1.

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Florian, Michael. "Nonlinear cost network models in transportation analysis." In Mathematical Programming Studies, 167–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0121092.

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Burkard, Rainer E. "Transportation Problems." In Models, Methods and Decision Support for Management, 249–61. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57603-4_14.

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Conference papers on the topic "Transportation Management Mathematical models"

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Gallo, Federico, Angela Di Febbraro, Davide Giglio, and Nicola Sacco. "A mathematical programming model for the management of carriages in virtually coupled trains." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294277.

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Akinsete, Oluwatoyin, and Sunday Isehunwa. "Mathematical Model of Energy Storage in Gas Hydrate and its Flow in Pipeline Systems." In SPE/AAPG Africa Energy and Technology Conference. SPE, 2016. http://dx.doi.org/10.2118/afrc-2569613-ms.

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ABSTRACT Natural gas, one of the major sources of energy for the 21st century, provides more than one-fifth of the worldwide energy needs. Storing this energy in gas hydrate form presents an alternative to its storage and smart solution to its flow with the rest of the fluid without creating a difficulty in gas pipeline systems due to pressure build-up. This study was design to achieve this situation in a controlled manner using a simple mathematical model, by applying mass and momentum conservation principles in canonical form to non-isothermal multiphase flow, for predicting the onset conditions of hydrate formation and storage capacity growth of the gas hydrate in pipeline systems. Results from this developed model shows that the increase in hydrate growth, the more the hydrate storage capacity of gas within and along the gas pipeline. The developed model is therefore recommended for management of hydrate formation for natural gas storage and transportation in gas pipeline systems.
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Calay, Rajnish K., and Ahmad Awad. "A Model to Predict Stratification in Two Phase Flow in Horizontal Pipes." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2848.

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Stratified flow is encountered in many situations. The flow of hydrocarbons transported in horizontal pipes often gets stratified. The prediction of pressure drop and liquid hold-up is essential for reservoir and pipe management and optimizing the cost of transportation of constituents. The present paper presents a simple mathematical model to predict the pressure drop, water and oil hold up and stratified layer. A good agreement with the experimental data was found. The model will be further developed and incorporated within a numerical model in order to investigate the flow field characteristics and establish correlations for a wide range of parameters.
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Taghavipour, Amir, Ramin Masoudi, Nasser L. Azad, and John McPhee. "High-Fidelity Modeling of a Power-Split Plug-In Hybrid Electric Powertrain for Control Performance Evaluation." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13489.

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Plug-in hybrid electric vehicle (PHEV) development seems to be essential for a sustainable transportation system along with electric vehicles. An appropriate power management strategy for a PHEV determines how to blend the engine and the battery power in such a way that leads to significant fuel economy improvement and environmental footprint reduction. To evaluate and validate the controls design, software and hardware-in-the-loop (SIL/HIL) simulations are useful approaches, especially at the early stages of controls design. To conduct SIL/HIL tests, an accurate and relatively fast mathematical model of the real powertrain is required which solely contains the essential dynamics of the plant. In this paper, a physics-based model of a power-split plug-in powertrain is developed and implemented using MapleSim software. This model contains a chemistry-based lithium-ion battery pack, which can distinguish it from other models used in the literature, since the performance of a PHEV greatly depends on its battery. The symbolic computation power of MapleSim makes the model very suitable for real-time SIL/HIL tests.
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Vitek, T., D. Pachner, and J. Stecha. "Mathematical Models for Hotel Yield Management." In 2007 IEEE 22nd International Symposium on Intelligent Control. IEEE, 2007. http://dx.doi.org/10.1109/isic.2007.4359776.

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Vitek, T., D. Pachner, and J. Stecha. "Mathematical Models for Hotel Yield Management." In 2007 IEEE International Conference on Control Applications. IEEE, 2007. http://dx.doi.org/10.1109/cca.2007.4389332.

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Fang, Sheng, and Shunhuai Chen. "Research on Intelligent Loading of Bulk Carriers." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18209.

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Abstract With the rapid development of computer technology in recent years, the shipbuilding industry is accelerating its intelligent process. Intelligent cargo management is an important functional module of intelligent ships, and intelligent loading is an important part of intelligent cargo management. Cargo loading is an important link in the process of cargo transportation. The loading effect affects the sailing performance, safety performance and loading efficiency of the ship, so it is necessary to improve the intelligence of ship loading. Based on the calculation and research of the floating state, stability, structural strength and loading efficiency of the bulk carrier during loading, a general mathematical model for the intelligent loading of bulk carriers is established. The model comprehensively considers the influence of loading rounds, loading capacity and loading order. It is solved using an improved genetic algorithm to obtain optimized loading results. The loading case calculation was carried out using a 20000t bulk carrier as an example, and an optimized solution was obtained, which proved the effectiveness of the algorithm. The results show that the method can effectively improve the loading efficiency of the ship while ensuring that the ship has sufficient strength and suitable floating state.
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Daurbekov, Said-Emi Saydalievich. "Mathematical Programming In Management: Methods And Models." In International Scientific Congress «KNOWLEDGE, MAN AND CIVILIZATION». European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.05.264.

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Assellaou, Hanane, Brahim Ouhbi, and Bouchra Frikh. "Supplier selection problem: A mathematical models story." In 2016 3rd International Conference on Logistics Operations Management (GOL). IEEE, 2016. http://dx.doi.org/10.1109/gol.2016.7731690.

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De Wrachien, D., S. Mambretti, and A. Sole. "Mathematical models in flood management: overview and challenges." In FRIAR 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/friar100061.

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Reports on the topic "Transportation Management Mathematical models"

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Johnson, P. E., and D. S. Joy. Baseline requirements of the proposed action for the Transportation Management Division routing models. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/34379.

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