Multimodal Transport Cost Model Bases on Dynamic Alliances

2019 ◽  
Vol 98 (sp1) ◽  
pp. 414
Author(s):  
Wenying Zhu ◽  
Chao Gao ◽  
Xiaheng Zhang ◽  
Doudou Li
Author(s):  
Sedat Baştuğ ◽  
Turgay Battal

The aim of the chapter is to propose a methodology to illustrate the cost and time components of door-to-door movement by One Belt and One Road (OBOR) and traditional routes alongside with modes. The study is concentrated on a case study and uses established multimodal transport cost model as a research framework. Interviews with industry practitioners and observation from primary methods of data collection. The use of multimodal transport cost model is common in the containerized cargoes. Hence, this study provides an original analysis for OBOR initiative. The volumes of OBOR shipments are large, with a high value-to-volume ratio. The research initially confirms that multimodal transport alternatives and modal combinations may successfully be applied and assess the performance of OBOR initiative.


Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Anthony K. C. Beresford ◽  
Ruth Banomyong ◽  
Stephen Pettit

The purpose of this paper is to present a rigorous and critical review of an established cost/time-distance model. The model offers a perspective on the inter-relationships between transport modes, nodes, methods and cargo volumes, types and forms. Organisations can review their door to door supply chain costs by applying the model described in the paper. The reviewed multimodal transport cost model is based on a relatively simple framework but demonstrates that other existing models of modal choice, multimodal transport and inventory location all oversimplify the transport process. The critical components of the model are the transport from origin to destination, consignment loading/unloading, intermodal transfer and performance variability. Other activities such as storage, value addition and customs clearance can be added into the model as required. Several findings emerge from the development of the model and provide much greater clarity concerning the cost-structure of door-to-door multimodal transport services along economic corridors. The model is shown to be a useful tool for identifying theoretical alternative locations for facilities such as inland terminals. The relative unit costs of operating respective freight transport modes lead to a series of classic door-to-door cost profiles stemming from the modal mix, which varies according to shipment distance, volume, cargo value-density and other variables.


2021 ◽  
Author(s):  
Matías Herrera Dappe ◽  
Tomás Serebrisky ◽  
Ancor Suárez-Alemán

Do differences in port performance explain differences in maritime transport costs? How much would improvements in port performance reduce maritime transport costs in developing countries? To answer this question, we use a widely used transport cost model, but we provide a new measure of port efficiency, estimated through a non-parametric approach. Relying on data from the early 2000s, this paper shows that for a sample of 115 container ports in 39 developing countries, becoming as efficient as the country with the most efficient port sector would reduce average maritime transport costs by 5 percent. For the most inefficient country, the reduction in transport costs could reach 15 percent. These findings point out the potential gains that can be achieved from the combination of betterquality investment and more efficient service provision in the port sector. The estimates in this paper cannot be updated because the databases were discontinued and it therefore highlights the need to generate data to evaluate the effectiveness of public policies that are key to competitiveness.


2019 ◽  
Vol 11 (4) ◽  
pp. 990 ◽  
Author(s):  
Dan Liu ◽  
Zhenghong Deng ◽  
Qipeng Sun ◽  
Yong Wang ◽  
Yinhai Wang

Decentralized freight decision has been proved to be one of the inhibitors to achieve a sustainable transport network. One important method also a key challenge is to determine how to coordinate and consolidate the transportation flow to get the best logistics performance. This study presents an intermodal transportation network considering freight consolidation through freight forwarders’ cooperation. We formulate the problem as a minimum intermodal transport cost model, which is a nonlinear, nonconvex and discontinuous function that involves volume economies of scale, distance economies of scale and vehicle size economies of scale. A hybrid genetic algorithm (GA) and particle swarm optimization (PSO) algorithm in combination with a batch strategy are used to solve the problem. Five different transport demand scenarios are tested on a real case on “China Railway Express” (Crexpress). The choices of reasonably corridor and fleet size combination are provided.


2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Alan Osorio-Mora ◽  
Francisco Núñez-Cerda ◽  
Gustavo Gatica ◽  
Rodrigo Linfati

Hub location problems (HLPs) support decision making on multimodal transport strategic planning. It is related to the location of hubs and the allocation of origin/destination (O/D) flow in a system. Classical formulations assume that these flows are predefined paths and direct delivery is not available. This applied research presents a mixed integer linear programming (MILP) model for a capacitated multimodal, multi-commodity HLP. Furthermore, an application on the export process in a Latin American country is detailed. The new proposed model, unlike the traditional HLP, allows direct shipment, and its O/D flows are part of the decision model. Situations with up to 100 nodes, six products, and two transport modes are used, working with initial and projected flows. All instances can be solved optimally using the commercial solver, Gurobi 7.5.0, in computational times less than a minute. Results indicate that only one hub is profitable for the case study, both for the initial and projected scenarios. The installation of a hub generates transport savings over 1% per year. Two factors affect the location decision: low concentration and distance between the hubs and destinations. Long distances involve an exhaustive use of trains instead of trucks, which leads to lower transport cost per unit.


2019 ◽  
Vol 50 (2) ◽  
pp. 17-33 ◽  
Author(s):  
Paweł Leleń ◽  
Mariusz Wasiak

The main goal of this paper is to provide an original model of selecting multimodal technologies for the transport of perishable goods. The model in particular refers to the transportability of cargoes. The features of cargoes that have the most impact on transportability were specified. Formal representations of the key elements of the model were presented and characterized, including: perishable cargoes, form of transported goods (solid, liquid, etc.), means of handling (including loading devices and transport means), transport routes, categories of human labor, multimodal technologies and transportation tasks. A formal representation of decision variables, as well as constrains and a criterion function were provided. The model bases on two main solution assessment criteria: cost criterion and cargo safety criterion. A cargo safety criterion in the model is composed of 18 partial criterion functions. Each of these functions directly affects one safety aspect of the transported cargo. The exemplary partial criteria of cargo safety included in the model are: acceptable transport time, minimum or maximum temperature in the cargo’s direct surroundings, resistance to mechanical damage. In order to present a practical application of the presented mathematical model the paper shows also an example of selecting one of the multimodal technologies for the transport of perishable goods from the set of pre-defined types of multimodal transport technologies. The developed method uses different elements of the mathematical model provided in the paper, depending on the considered problem (including characteristics of cargo and their transport forms). For a significant group of perishable cargoes, it is not required to consider all defined criteria associated with cargo safety. The developed model allows for the accurate selection of transport technology for perishable cargoes for most transportation tasks. It should help to increase the efficiency of selection of multimodal transport technology for perishable products. The selected technology will then be characterized by the lowest transport cost and will ensure the safety of transported cargoes, as well as will meet other requirements determined by the transport task. As part of further work, it is possible to develop proposed method by considering additional characteristics of perishable cargoes.


Transport ◽  
2012 ◽  
Vol 27 (2) ◽  
pp. 143-148 ◽  
Author(s):  
Yaorong Cheng

To begin with, the current paper introduces the meaning of freight multimodal transport in order to select the best transport path in multimodal network. Secondly, the forming mechanism of freight multimodal transport cost has been illustrated. In addition to that the construction and the character of the freight multimodal cost have been analyzed carefully, and the mathematics model is set up so that to figure out the total cost of multimodal. Finally, a case of multimodal is given out and analyzed. The results indicate that the model and way to select the best multimodal path in the multimodal network are reasonable and effective.


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