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1 – 10 of over 24000Aman Dua, Rishika Chhabra and Deepankar Sinha
The first purpose is to assess the quality of containerized multimodal export and the second is to develop and demonstrate the design of a service network with quality approach.
Abstract
Purpose
The first purpose is to assess the quality of containerized multimodal export and the second is to develop and demonstrate the design of a service network with quality approach.
Design/methodology/approach
The article used the structural equation model to develop a model to measure the quality of multimodal transportation for containerized exports and finalized the model with an alternative approach. The evolutionary algorithm had been used to design a service network based on quality.
Findings
Provided factors affecting quality of multimodal transportation and reverse to one hypothesis, the construct variation in cost, time shape and quantity did not affect the quality of multimodal transportation for containerized exports. The model without variation construct was finalized by exploring causality.
Research limitations/implications
This research had scope till container loading onto the vessel and assessed the quality for containerized cargo only, and second research purpose is limited by assumed values of fitness function and the limited number of nodes, in service network design demonstration.
Practical implications
This research provided a tool to measure the quality of multimodal transportation for containerized exports and demonstrated the field application of the model developed in service network design. This approach included all factors applicable across the container movement. The integrated approach of the article provided an organized method to design a service network for containerized exports.
Originality/value
This work provided the tool to assess the quality of multimodal transportation for containerized exports and developed an approach to design a service network of multimodal transportation based on quality. This approach has considered the factors of multimodal transportation comprehensively in contrast to the optimization approaches based on operation research techniques.
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Yuchuan Du, Han Wang, Qian Gao, Ning Pan, Cong Zhao and Chenglong Liu
Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all…
Abstract
Purpose
Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.
Design/methodology/approach
The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.
Findings
Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.
Originality/value
This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.
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This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies…
Abstract
This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies have largely implemented unweighted (binary) network analysis, or have constructed a weighted network, limited by unweighted centrality measures. This study applies weighted centrality measures (mean association [MA], triangle betweenness centrality [TBC], and weighted harmonic centrality [WHC]) to represent traffic dynamics in HSR and air transportation weighted networks, where nodes represent cities and links represent passenger traffic. The spatial distribution of centrality results is visualized by using ArcGIS 10.2. Moreover, we analyze the network robustness of HSR, air transportation, and multimodal networks by measuring weighted efficiency (WE) subjected to the highest weighted centrality node attacks. In the HSR network, centrality results show that cities with a higher MA are concentrated in the Yangtze River Delta and the Pearl River Delta; cities with a higher TBC are mostly provincial capitals or regional centers; and cities with a higher WHC are grouped in eastern and central regions. Furthermore, spatial differentiation of centrality results is found between HSR and air transportation networks. There is a little bit of difference in eastern cities; cities in the central region have complementary roles in HSR and air transportation networks, but air transport is still dominant in western cities. The robustness analysis results show that the multimodal network, which includes both airports and high-speed rail stations, has the best connectivity and shows robustness.
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Diane M. Phillips and Jason Keith Phillips
Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis…
Abstract
Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis techniques to the business logistics and transportation community as a useful tool with which to study the dynamic flows of communication between members of a social network. Second, it describes a wide variety of techniques and then utilizes them to examine artifacts of scholarly communication ‐ journal citations. In doing so, it tracks the changing communication patterns across two separate time periods to describe the evolution and maturation of the fields of business logistics and transportation. Concludes that over a period of ten years the flow of information between the journals in the area of business logistics and transportation has become more efficient and that journals directly communicate with one another. Also, there is no longer a distinct break between logistics and transportation.
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Paul Buijs and J.C. (“Hans”) Wortmann
This paper addresses horizontal supply chain collaboration among autonomous freight carriers in the less-than-truckload industry. The main purpose of the paper is to identify and…
Abstract
Purpose
This paper addresses horizontal supply chain collaboration among autonomous freight carriers in the less-than-truckload industry. The main purpose of the paper is to identify and explain the challenges with joint operational decision-making in this context and investigate the precise role of information technology (IT) therein.
Design/methodology/approach
Empirical evidence is gathered by means of exploratory and explanatory case research, with multiple cases at the planning departments of European freight carriers operating in collaborative transportation networks.
Findings
Collaborating carriers face fundamental challenges in joint operational planning and control of collaborative transportation, despite the broad availability of state-of-the-art IT. These operational supply chain challenges can be explained by technological differences of the available IT applications, which hinder integration.
Research limitations/implications
Any expectations with regard to state-of-the-art XML or EDI-based IT integration for improved joint operational decision-making in collaborative transportation networks should be considered with care. In particular, the authors' research findings may encourage practitioners to consider new planning and control procedures and develop dedicated IT applications for collaborating freight carriers.
Originality/value
The paper highlights the importance of horizontal supply chain collaboration for small and medium-sized freight carriers in the less-than-truckload industry and conceptualises how collaborative transportation networks are organised. Furthermore, an IT typology is introduced to explain the challenges with joint operational decision-making.
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Teodor Gabriel Crainic and Pierre J. Dejax
Interactive‐graphic systems and operations research methodologiesare increasingly being combined to produce efficient, versatile andpowerful tools that enhance the decision‐making…
Abstract
Interactive‐graphic systems and operations research methodologies are increasingly being combined to produce efficient, versatile and powerful tools that enhance the decision‐making process. The possible contribution of such tools to the planning of distribution systems for industrial firms and freight carrier service networks and operations is examined and compared. The similarities and differences between the two systems are derived and an examination is undertaken to determine whether a unique planning system may adequately respond to the requirements of the two problems.
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Vahid Ghomi, David Gligor, Sina Shokoohyar, Reza Alikhani and Farnaz Ghazi Nezami
Collaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for…
Abstract
Purpose
Collaborative Logistics (CL) and merging operations are crucial strategies for reducing costs and improving service in transportation companies. This study proposes a model for optimizing efficiency in supply chain networks through inbound and outbound Collaborative Logistics implementation among the carriers in centralized, coordinated networks with cross-docking.
Design/methodology/approach
A mixed-integer non-linear programming model is developed to determine the optimal truck-goods assignment while gaining economies of scale through mixing multiple less-than-truckload (LTL) products with different weight-to-volume ratios. Unlike the previous studies that have considered Collaborative Logistics from the cost and profit-sharing perspective, the proposed model seeks to determine an appropriate form of Collaborative Logistics in the VRP.
Findings
This article shows that in a three-echelon supply chain consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. This approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of collaborative logistics among the carriers was discussed. In a three-echelon SC consisting of a set of suppliers, a set of customers and a cross-docking terminal, partial collaboration among the inbound carriers and outbound carriers outperforms no/complete collaboration. Using a combination of experimental analysis and optimization process, it was recommended that managers be cautious that too much (full or complete) or no collaboration can result in SC performance deterioration.
Originality/value
The suggested approach enhances the supply chain efficiency by minimizing the total transportation costs, the total transportation miles and the total number of trucks and maximizing fleet utilization. While addressing the four points, the role of Collaborative Logistics among the carriers was discussed.
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Robert C. Bushnell, James T. Low and James B. Wiley
For many years it has been recognised that physical distribution is a promising area for the application of system modelling techniques. Freight transportation systems offer a…
Abstract
For many years it has been recognised that physical distribution is a promising area for the application of system modelling techniques. Freight transportation systems offer a rare combination of tractability and realistic opportunity for improvement. Large‐scale freight network models, for example, can be useful to state and national transportation system planners. Among other uses, the models permit examination of the impact of proposed changes on modal competition and on the flow of traffic over certain routes. Carriers may also find network models useful for their more limited planning purposes, such as determining the consequences of changes in a physical system. For example, facilities or links can be added, deleted, or modified in order to analyse the effects on tonnage and mode of shipment for the affected commodities. Specific routes can be added or eliminated in order to determine the worth of using those routes. Finally, firms can change the commodity tonnage between specific origins and destinations in order to assess future transportation needs.
Oh Kyoung Kwon, Soobi Lee, Hye Min Chung, Prem Chhetri and Ok Soon Han
This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’…
Abstract
This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.
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Oh Kyoung Kwon, Soobi Lee, Hye Min Chung, Prem Chhetri and Ok Soon Han
This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’…
Abstract
This study aims to evaluate the network robustness of major Asian airlines and to explore which airport types have the greatest impact on robustness. We also analyze airports’ specific brokerage roles and their impacts on the robustness of the entire air route network. We select 10 major Asian full-service airlines that operate the main passenger terminals at the top-ranked hub airports in Asia. Data is collected from the Official Airline Guide passenger route dataset for 2017. The results of the network robustness analysis show that Air China and China Eastern Airlines have relatively high network robustness. In contrast, airlines with broader international coverage, such as Japan Airlines, Korean Air, and Singapore Airlines have higher network vulnerability. The measure of betweenness centrality has a greater impact on the robustness of air route networks than other centrality measures have. Furthermore, the brokerage role analysis shows that Chinese airports are more influential within China and Asia but are less influential globally when compared to other major hub airports in Asia. Incheon International Airport, Singapore Changi Airport, Hong Kong International Airport, and Narita International Airport play strong “liaison” roles. Among the brokerage roles, the liaison role has a greater impact on the robustness of air route networks.
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