Journal articles: 'Transportation disruption'

1

Messina, Dario, Ana Cristina Barros, António Lucas Soares, and Aristides Matopoulos. "An information management approach for supply chain disruption recovery." International Journal of Logistics Management 31, no. 3 (August 6, 2020): 489–519. http://dx.doi.org/10.1108/ijlm-11-2018-0294.

Full text

Abstract:

PurposeTo study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.Design/methodology/approachThe paper reviews relevant supply chain literature to build an information management model for disruption management. Afterwards, three case studies in the vehicle assembly sector, namely cars, trucks and aircraft wings, bring the empirical insights to the information management model.FindingsThis research characterises the phases of disruption management and identifies the information companies use to recover from a variety of disruptive events. It presents an information management model to enhance supply chain visibility and support disruption management at the operational level. Moreover, it arrives at two design propositions to help companies in the redesign of their disruption discovery and recovery processes.Originality/valueThis research studies how companies manage operational disruptions. The proposed information management model allows to provide visibility to support the disruption management process. Also, based on the analysis of the disruptions occurring at the operational level we propose a conceptual model to support decision makers in the recovery from daily disruptive events.

APA, Harvard, Vancouver, ISO, and other styles

2

Macdonald, John R., Tobin E. Porterfield, and Stanley E. Griffis. "Managing Supply Chain Disruption Recovery: The Role of Organizational Justice." Transportation Journal 60, no. 4 (October 1, 2021): 367–405. http://dx.doi.org/10.5325/transportationj.60.4.0367.

Full text

Abstract:

Abstract Supply chain disruptions negatively impact the economy and individual organizations. However, as many companies recover from disruptions (COVID-19 being a recent example), less attention has been paid to how these events impact business-to-business (B2B) relationships characteristic of supply chains. Drawing on justice theory, we examine how the suppliers’ management of the recovery process affects behavioral reactions in the context of supply chain relationships. This study empirically examines the role that partners’ recovery process, honesty, effort, availability, and outcome fairness play in influencing satisfaction, future business volumes, and word-of-mouth. Using ordinary least squares (OLS) regression to test survey data, results indicate that how recovery processes are managed positively affects satisfaction, reduces the likelihood of future business loss, and affects the propensity to communicate negatively about a relationship partner. Unexpectedly, outcome fairness (distributive justice) has a significant positive impact on negative word-of-mouth, indicating that increased perceptions of distributive justice actually increase negative behavioral outcomes in certain settings. We conduct exploratory post hoc serial mediation analysis to further examine this finding and uncover a potential extension to the boundaries of a justice lens. These post hoc results, which generally confirm the OLS results, drive opportunity for better understanding of complaining behavior and navigating the tricky environment associated with managing B2B relationships in a post- disruption environment.

APA, Harvard, Vancouver, ISO, and other styles

3

Ghavidelsyooki, Mona, Anjali Awasthi, M. Allouche, J. Berger, and Snezana Mitrovic Minic. "Partitioning of transportation networks under disruption." International Journal of Modelling and Simulation 37, no. 3 (March 14, 2017): 131–39. http://dx.doi.org/10.1080/02286203.2017.1297652.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Zhen, Xueping, Yongjian Li, Gangshu (George) Cai, and Dan Shi. "Transportation disruption risk management: business interruption insurance and backup transportation." Transportation Research Part E: Logistics and Transportation Review 90 (June 2016): 51–68. http://dx.doi.org/10.1016/j.tre.2016.01.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Lee, Jane, Lavanya Marla, and Alexandre Jacquillat. "Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty." Transportation Science 54, no. 4 (July 2020): 973–97. http://dx.doi.org/10.1287/trsc.2020.0983.

Full text

Abstract:

Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions and in anticipation of future disruptions. The approach forecasts future disruptions partially and probabilistically by estimating systemic delays at hub airports (and the uncertainty thereof) and ignoring other contingent disruptions. It formulates a dynamic stochastic integer programming framework to minimize network-wide expected disruption recovery costs. Specifically, our Stochastic Reactive and Proactive Disruption Management (SRPDM) model combines a stochastic queuing model of airport congestion, a flight planning tool from Boeing/Jeppesen and an integer programming model of airline disruption recovery. We develop a solution procedure based on look-ahead approximation and sample average approximation, which enables the model’s implementation in short computational times. Experimental results show that leveraging even partial and probabilistic estimates of future disruptions can reduce expected recovery costs by 1%–2%, as compared with a myopic baseline approach based on realized disruptions alone. These benefits are mainly driven by the deliberate introduction of departure holds to reduce expected fuel costs, flight cancellations, and aircraft swaps.

APA, Harvard, Vancouver, ISO, and other styles

6

Swanson and Suzuki. "COVID-19 Carves New Facets of Supply Chain Disruption." Transportation Journal 59, no. 4 (2020): 325. http://dx.doi.org/10.5325/transportationj.59.4.0325.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Shrivastava, Himanshu, Andreas T. Ernst, and Mohan Krishnamoorthy. "Distribution and Inventory Planning in a Supply Chain Under Transportation Route Disruptions and Uncertain Demands." International Journal of Information Systems and Supply Chain Management 12, no. 3 (July 2019): 47–71. http://dx.doi.org/10.4018/ijisscm.2019070103.

Full text

Abstract:

This article considers transportation disruptions and its detrimental impact on the quality of the enroute shipment. The authors consider a supply chain system of a short life cycle product that has a capacitated supplier, a retailer and multiple routes of transportation under different disruption risks, uncertain cost of transportation, and uncertain demands. The authors investigate a hybrid problem in which the firm needs to develop a suitable distribution strategy under disruption risks along with an optimal checking policy when faced with the supply of varying quantities of damaged items. The authors formulate a non-linear mathematical model in which the overall objective is to maximise the expected profit and to help the firm in decision making under uncertain environments. Lastly, a statistical study is carried out to perform uncertainty analysis.

APA, Harvard, Vancouver, ISO, and other styles

8

Pooley, Colin G. "Uncertain Mobilities." Transfers 3, no. 1 (March 1, 2013): 26–44. http://dx.doi.org/10.3167/trans.2013.030104.

Full text

Abstract:

Contemporary society assumes high levels of unimpeded mobility, and disruptions to the ability to move quickly and easily can cause considerable concern. This paper examines the notion of mobility uncertainty and disruption from an historical perspective, arguing that interruptions to mobility have long been a characteristic of everyday travel. It is suggested that what has changed is not so much the extent or nature of disruption, but rather the resilience of transport systems and societal norms and expectations about travel. Data are taken from five examples of life writing produced by residents of the United Kingdom during the nineteenth and early-twentieth centuries. The texts are used to illustrate the travel problems encountered and the strategies adopted to deal with them. A concluding discussion examines these themes in the context of twenty-first century mobility.

APA, Harvard, Vancouver, ISO, and other styles

9

Stich, Bethany. "Intermodal Transportation Disruption and Reroute Simulation Framework." Transportation Research Record: Journal of the Transportation Research Board 2410, no. 1 (January 2014): 150–59. http://dx.doi.org/10.3141/2410-17.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

MacKenzie, Cameron A., and Aruna Apte. "Modeling disruption in a fresh produce supply chain." International Journal of Logistics Management 28, no. 2 (May 8, 2017): 656–79. http://dx.doi.org/10.1108/ijlm-04-2016-0097.

Full text

Abstract:

Purpose The purpose of this paper is to quantify elements that make fresh produce supply chains (FPSCs) vulnerable to disruptions and to quantify the benefits of different disruption-management strategies. Design/methodology/approach This paper develops a mathematical model of a disruption in a FPSC and analyzes the relationships among variables. Findings The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 E. coli spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales. Research limitations/implications The model includes several parameters that may be difficult to estimate. Future models can incorporate uncertainty that is inherent in supply chain disruptions. Practical implications The model in this paper can help a supply chain (SC) manager explore the trade-offs of different disruption-management strategies. For example, a SC manager can determine the value of holding additional safety stock vs trying to improve traceability in the SC. Originality/value This paper quantifies and models insights delivered in the qualitative analyses of FPSC disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help SC managers evaluate different strategies to mitigate the effects of contaminated produce.

APA, Harvard, Vancouver, ISO, and other styles

11

Kim, Karl, Pradip Pant, Eric Yamashita, and Jiwnath Ghimire. "Analysis of Transportation Disruptions from Recent Flooding and Volcanic Disasters in Hawai’i." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 2 (February 2019): 194–208. http://dx.doi.org/10.1177/0361198118825460.

Full text

Abstract:

The purpose of this paper is to describe, analyze, and compare disruptions to the transportation system from two recent disasters in Hawai’i. While they occurred on different islands (Kaua`i and Hawai’i) and resulted from different hazards (flooding and volcanic eruption), there are important commonalities due to the disruption of surface transportation and the consequences for evacuation and emergency services as well as response and recovery. On Kaua`i, the physical impacts were fewer, with a 2 mile stretch of highway damaged by flooding and landslides as compared with 31.1 miles of roads covered by lava on Hawai`i island. Both disasters had similar population impacts, with 5,566 people impacted for Kaua`i and 5,563 for Hawai`i. Another difference is a shorter duration of disruption and a quicker restoration of transportation services for Kaua`i compared with the slower, continuous, and permanent loss of transportation services in Hawai`i. The two cases provide learning opportunities for emergency managers, transportation planners, and engineers. Both demonstrate the need for redundancy in transportation infrastructure for rescue and recovery operations. While the evacuation from a flooding event is different than from a slower-moving volcanic crisis, the importance of staging areas, route planning, alternative travel modes, and training cannot be overemphasized. These disasters focus attention on the critical role of transportation systems in response and recovery. In addition to short-term operational actions, longer-term mitigation, adaptation, and risk reduction strategies are needed to support transportation resilience.

APA, Harvard, Vancouver, ISO, and other styles

12

Xu, Lei, and Tsan Sheng Adam Ng. "A Robust Mixed-Integer Linear Programming Model for Mitigating Rail Transit Disruptions Under Uncertainty." Transportation Science 54, no. 5 (September 2020): 1388–407. http://dx.doi.org/10.1287/trsc.2020.0998.

Full text

Abstract:

In this paper, we propose a two-stage robust optimization framework to evaluate widely controllable commuter flow strategies that can help mitigate uncertain disruption impacts on rail transit commuter flows. In the operation-as-usual stage, preemptive control strategies including timetable adjustment, commuter path choice diversion, and commuter trip starting time diversion are planned within budget and other requirement constraints. In the disruption stage, optimal contingency routing is derived to minimize disruption impacts. To this end, a linear programming model that simulates the commuter movement logic under train service and platform disruption events is developed, which is then integrated in a mixed-integer max-min optimization model to evaluate the worst-case impacts on commuter flows arising from a set of uncertain disruption scenarios. We show that the two-stage robust optimization framework can be solved by a cutting plane algorithm efficiently using high performance and parallel computing platforms. Finally, we demonstrate the application of the model in mitigating disruption impacts through computational studies based on an actual rail transit network.

APA, Harvard, Vancouver, ISO, and other styles

13

Dray, Lynnette, Isabelle Laplace, Aude Marzuoli, Eric Feron, and Antony Evans. "Using Ground Transportation for Aviation System Disruption Alleviation." Journal of Air Transportation 25, no. 3 (July 2017): 95–107. http://dx.doi.org/10.2514/1.d0070.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

KUMAR, SAMEER, and CHARU CHANDRA. "Supply Chain Disruption by Avian flu Pandemic for U.S. Companies: A Case Study." Transportation Journal 49, no. 4 (2010): 61–73. http://dx.doi.org/10.5325/transportationj.49.4.0061.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Birkie, Seyoum Eshetu, and Paolo Trucco. "Do not expect others do what you should! Supply chain complexity and mitigation of the ripple effect of disruptions." International Journal of Logistics Management 31, no. 1 (February 10, 2020): 123–44. http://dx.doi.org/10.1108/ijlm-10-2018-0273.

Full text

Abstract:

PurposeRecent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.Design/methodology/approachA systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.FindingsSupply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.Research limitations/implicationsThis study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.Practical implicationsComplexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.Originality/valueTo the best of the authors' knowledge, this is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity.

APA, Harvard, Vancouver, ISO, and other styles

16

Durach, Christian F., Patrick C. Glasen, and Frank Straube. "Disruption causes and disruption management in supply chains with Chinese suppliers." International Journal of Physical Distribution & Logistics Management 47, no. 9 (October 2, 2017): 843–63. http://dx.doi.org/10.1108/ijpdlm-07-2017-0228.

Full text

Abstract:

Purpose The purpose of this paper is to identify and rank supply chain disruption causes for Western buying firms in the Chinese market; to identify supplier-relationship-specific mitigation strategies to avoid and resist such disruptions; and to develop and propose a framework of relational supply chain disruption management with Chinese suppliers. Design/methodology/approach Two group exercises with 42 representatives from Western manufacturing buying firms and nine in-depth interviews were conducted. The group exercises applied the nominal group technique. Findings The authors identified and ranked 22 disruption causes in China for Western buying firms. Evaluating the five most urgent causes, 43 mitigation strategies could be identified that build on implementing strategic relationships with Chinese suppliers. A framework of relational supply chain disruption management for Western buying firms was developed with six propositions on primary constructs, mediators, and moderators, highlighting guanxi as a fundamental construct of relations within the Chinese culture. Research limitations/implications The findings contribute to theory development at the intersection of risk management and culture. Quantitative testing of the proposed relationships in the framework is needed to derive more reliable conclusions. Practical implications The study depicts how cultural differences between Chinese suppliers and Western buyers influence relational supply chain disruption management strategies. Using the study findings, managers of Western buying firms are informed regarding the most pressing disruption causes in the Chinese market and the value and strategic use of Chinese-supplier relationships. Originality/value The study provides a valuable contribution to the scant body of literature on disruption management in supply chains with Chinese suppliers. It contributes to our understanding of a successful risk management in the presence of cultural differences.

APA, Harvard, Vancouver, ISO, and other styles

17

Miao, Yu, and Anning Ni. "Vulnerability Analysis of Intercity Multimode Transportation Networks; A Case Study of the Yangtze River Delta." Sustainability 11, no. 8 (April 13, 2019): 2237. http://dx.doi.org/10.3390/su11082237.

Full text

Abstract:

The disruption of an intercity transportation network will seriously influence the economic activities and communication between cities. At the regional or national transportation network level, in most cases, there is no link redundancy because of the high construction cost of the extra transportation infrastructure, so the impacts caused by the disruption of regional intercity transportation networks should be paid more attention. This paper proposes an accessibility-based method to analyze the vulnerability of multimode transportation networks. The measurement captures the influence of the disruption of network components in terms of the travel cost, socio-economic impacts, and level of transportation service of cities, and besides the network vulnerability analysis, it can also be used in the analysis of city relationships and development status of cities, providing a reference direction of the sustainable development for the city cluster. Finally, with the rapid application of high-speed trains in China, a preliminary study of the public transportation network of the Yangtze River Delta (YRD) region is conducted to illustrate the applicability of the evaluating method. The results show that the proposed measurement can be used to analyze the transportation network from the perspective of socio-economic impacts and level of transportation service, providing a reference for network planners and managers.

APA, Harvard, Vancouver, ISO, and other styles

18

Rahimi, Ehsan, Ali Shamshiripour, Ramin Shabanpour, Abolfazl (Kouros) Mohammadian, and Joshua Auld. "Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 3 (March 2020): 258–71. http://dx.doi.org/10.1177/0361198120911921.

Full text

Abstract:

Public transit disruption is becoming more common across different transit services, and can have a destructive influence on the resiliency of the transportation system. Even though transit agencies have various strategies to mitigate the probability of failure in the transit system by conducting preventative actions, some disruptions cannot be avoided because of their either unpredictable or uncontrollable nature. Utilizing recently collected data of transit users in the Chicago Metropolitan Area, the current study aims to analyze how transit users respond to an unplanned service disruption and disclose the factors that affect their behavior. In this study, a random parameter multinomial logit model is employed to consider heterogeneity across observations as well as panel effects. The results of the analysis reveal that a wide range of factors including socio-demographic attributes, personal attitudes, trip-related information, and built environment are significant in passengers’ behavior in case of unplanned transit disruptions. Moreover, the effect of service recovery time on passengers is not the same among all types of disrupted services; rail users are more sensitive to the recovery time as compared with bus users. The findings of this study provide insights for transportation authorities to improve the transit service quality in relation to user satisfaction and transportation resilience. These insights help transit agencies to implement effective recovery strategies.

APA, Harvard, Vancouver, ISO, and other styles

19

Khan, Nazmul, and Muhammad Habib. "Evaluation of Preferences for Alternative Transportation Services and Loyalty towards Active Transportation during a Major Transportation Infrastructure Disruption." Sustainability 10, no. 6 (June 16, 2018): 2050. http://dx.doi.org/10.3390/su10062050.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Al Bazi, Ammar, and Mahmood Ahmad. "Literature Review on Supply Chain Transportation and Disruption Factors." International Journal of Logistics Systems and Management 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijlsm.2022.10051406.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Hrušovský, Martin, Emrah Demir, Werner Jammernegg, and Tom Van Woensel. "Real-time disruption management approach for intermodal freight transportation." Journal of Cleaner Production 280 (January 2021): 124826. http://dx.doi.org/10.1016/j.jclepro.2020.124826.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Rienkhemaniyom, Kanokporn, and A. Ravi Ravindran. "Global Supply Chain Network Design Incorporating Disruption Risk." International Journal of Business Analytics 1, no. 3 (July 2014): 37–62. http://dx.doi.org/10.4018/ijban.2014070103.

Full text

Abstract:

Supply chain networks have expanded globally in today's business environment due to cost efficiencies, advanced technology, and market growth. This expansion makes the supply chains more vulnerable to disruption risks in different countries. A disruption in one country can cause serious global impacts. In this paper, the authors formulate a multi-criteria optimization model for supporting strategic supply chain network design decisions. The model considers disruption risk of supply chain components (i.e., facilities and transportation links) as well as profit and customer responsiveness as conflicting criteria. This consideration is important since disruption at any supply chain component may lead to the disruption of the entire supply chain network. They apply goal programming (GP) techniques to handle multiple and conflicting network design objectives. The authors present a numerical example to illustrate how to incorporate disruption risk when making strategic supply chain decisions. The results demonstrate how supply chain network designs that over emphasize profit may include inexpensive supply chain components with high disruption risk. Therefore, more attention must be paid to managing potential disruptions and designing supply chain networks that balance profit and risk. They discuss tradeoffs among multiple design solutions and identify opportunities for future research.

APA, Harvard, Vancouver, ISO, and other styles

23

Errett, Nicole A., Alexa Tanner, Xuesi Shen, and Stephanie E. Chang. "Understanding the Impacts of Maritime Disruption Transportation to Hospital-Based Acute Health Care Supplies and Personnel in Coastal and Geographically Isolated Communities." Disaster Medicine and Public Health Preparedness 13, no. 03 (July 26, 2018): 440–48. http://dx.doi.org/10.1017/dmp.2018.64.

Full text

Abstract:

ABSTRACTObjectiveThis study aimed to identify maritime transportation disruption impacts on available health care supplies and workers necessary to deliver hospital-based acute health care in geographically isolated communities post-disaster.MethodsSemi-structured interviews were conducted with 25 key informants knowledgeable about the hospital-based acute health care supply chain and workforce emergency management plans and procedures in 2 coastal communities in British Columbia. These locations were accessed primarily through maritime transportation, including one urban center and one smaller, more remote community. Interview transcriptions were thematically analyzed.ResultsCritical vulnerabilities to hospital-based acute health care delivery due to a maritime transportation disruption identified include lack of information about the existing supply chain, lack of formal plans and agreements, and limited local supply storage and workforce capacity. Measures to decrease vulnerability and enhance system capacity can be fostered to enhance acute health care system resilience for these and other geographically isolated communities.ConclusionsA maritime transportation disruption has the potential to impact the availability of hospital-based health care supplies and health care personnel necessary to deliver acute health care in coastal communities post-disaster. Multisector engagement is required to address complex interdependencies and competing priorities in emergency response. Additional research and public-private collaboration is necessary to quantify potential impacts of maritime transportation disruption on the acute health care system. (Disaster Med Public Health Preparedness. 2019;13:440-448)

APA, Harvard, Vancouver, ISO, and other styles

24

Sheller, Mimi. "Ten Years of Transfers." Transfers 10, no. 1 (March 1, 2020): 22–34. http://dx.doi.org/10.3167/trans.2020.100104.

Full text

Abstract:

In a brief reflection on the multiple disruptions of mobilities imposed by the COVID-19 pandemic, this article shows the significance of the scholarship published in Transfers over the last ten years for thinking about the future. Clearly the encounter with a novel and deadly virus—transferred between people, traveling rapidly across geographical regions, crossing over the threshold of our bodies, buildings and borders—has drastically changed many things about us, about cities, about economies, and about the world. An analysis inspired by critical mobility studies highlights the inequities of the mobility disruption, especially in the United States, the importance of histories and representations of mobility for understanding the present situation, and the need for changed choreographies of mobility after the pandemic.

APA, Harvard, Vancouver, ISO, and other styles

25

van Lieshout, Rolf N., Paul C. Bouman, and Dennis Huisman. "Determining and Evaluating Alternative Line Plans in Out-of-Control Situations." Transportation Science 54, no. 3 (May 2020): 740–61. http://dx.doi.org/10.1287/trsc.2019.0945.

Full text

Abstract:

From time to time, large disruptions cause heavily utilized railway networks to get into a state of out-of-control, in which hardly any trains are able to run as the result of a lack of accurate and up-to-date information available to dispatchers. In this paper, we develop and test disruption management strategies for dealing with these situations. First, we propose an algorithm that finds an alternative line plan that can be operated in the affected part of the railway network. As the line plan should be feasible with respect to infrastructural and resource restrictions, we integrate these aspects in the algorithm in a Benders-like fashion. Second, to operate the railway system within the disrupted region, we propose several local train dispatching strategies requiring varying degrees of flexibility and coordination. Computational experiments based on disruptions in the Dutch railway network indicate that the algorithm performs well, finding workable and passenger-oriented line plans within a couple of minutes. Moreover, we also demonstrate in a simulation study that the produced line plans can be operated smoothly without depending on central coordination.

APA, Harvard, Vancouver, ISO, and other styles

26

Ruan, Junhu, Felix Chan, and Xiaofeng Zhao. "Re-Planning the Intermodal Transportation of Emergency Medical Supplies with Updated Transfer Centers." Sustainability 10, no. 8 (August 9, 2018): 2827. http://dx.doi.org/10.3390/su10082827.

Full text

Abstract:

Helicopters and vehicles are often jointly used to transport key relief supplies and respond to disaster situations when supply nodes are far away from demand nodes or the key roads to affected areas are cut off. Emergency transfer centers (ETCs) are often changed due to secondary disasters and further rescue, so the extant intermodal transportation plan of helicopters and vehicles needs to be adjusted accordingly. Disruption management is used to re-plan emergency intermodal transportation with updated ETCs in this study. The basic idea of disruption management is to minimize the negative impact resulting from unexpected events. To measure the impact of updated ETCs on the extant plan, the authors consider three kinds of rescue participators, that is, supply recipients, rescue drivers, and transport schedulers, whose main concerns are supply arrival time, intermodal routes and transportation capacity, respectively. Based on the measurement, the authors develop a recovery model for minimizing the disturbance caused by the updated ETCs and design an improved genetic algorithm to generate solutions for the recovery model. Numerical experiments verify the effectiveness of this model and algorithm and discern that this disruption management method could produce recovery plans with shorter average waiting times, smaller disturbances for all the supply arrival times, intermodal routes and transportation capacity, and shorter running times. The comparison shows the advantage of this disruption management method over the rescheduling method.

APA, Harvard, Vancouver, ISO, and other styles

27

Michal Titko, Jan Havko, and Jana Studena. "Modelling Resilience of the Transport Critical Infrastructure Using Influence Diagrams." Communications - Scientific letters of the University of Zilina 22, no. 1 (January 2, 2020): 102–18. http://dx.doi.org/10.26552/com.c.2020.1.102-118.

Full text

Abstract:

The article discusses the possible impact of disasters on functionality of the transport critical infrastructure elements by overcoming their resilience. The aim of the article is to provide an appropriate approach to the resilience measurement through understanding of this close relationship. It was achieved by using combination of (1) a decisiontheoretical approach based on Influence Diagrams, which was used as a tool to model functionality disruption level of transportation network elements after disaster impact and (2) the time decomposition of the functionality disruption duration of these elements. Based on this approach, the transportation network element resilience assessment was conducted in form of the transportation element resilience loss. The proposed approach is intended to be applied to the critical infrastructure elements rather than to the transportation network as a whole.

APA, Harvard, Vancouver, ISO, and other styles

28

Rogerson, Sara, Martin Svanberg, and Vendela Santén. "Supply chain disruptions: flexibility measures when encountering capacity problems in a port conflict." International Journal of Logistics Management 33, no. 2 (March 1, 2022): 567–89. http://dx.doi.org/10.1108/ijlm-03-2020-0123.

Full text

Abstract:

PurposeThere can be many negative effects from a disruption in a central node of companies' supply chains, such as a port conflict that reduces capacity. Strategies for disruption management include flexibility and redundancy. This paper aims to analyse a supply chain disruption from flexibility and capacity perspectives.Design/methodology/approachA case study was conducted of the supply chain disruption caused by the port conflict in 2016–2017 in Gothenburg, in which the port operated at a reduced capacity. Companies importing and exporting goods, freight forwarders, hauliers, train operators, ports, shipping companies and their agents were interviewed.FindingsVarious capacity problems (ports, links, container chassis, empty containers) were encountered due to the port conflict. Flexibility measures such as node, mode and fleet flexibility can be used in response to changes in capacity. Difficulties with applying flexibility are discussed.Research limitations/implicationsAlthough based on a Swedish case, findings are relevant for disruptions or other types of disturbances in ports elsewhere and also in other important nodes in companies' supply chains.Practical implicationsActors influenced by disturbances in a port can increase their understanding of potential capacity problems and flexibility measures. Readiness and timely action are important due to competition regarding capacity.Originality/valueThe implications on the transport network surrounding a port, including many actors, are explained, illustrating how capacity problems propagate, but there is some flexibility to manage the problems.

APA, Harvard, Vancouver, ISO, and other styles

29

Pedinotti-Castelle, Marianne, Pierre-Olivier Pineau, Kathleen Vaillancourt, and Ben Amor. "Changing Technology or Behavior? The Impacts of a Behavioral Disruption." Sustainability 13, no. 11 (May 23, 2021): 5861. http://dx.doi.org/10.3390/su13115861.

Full text

Abstract:

Transportation is a key factor in the fight against climate change. Consumer behavior changes in transportation are underrepresented in energy policies, even if they could be essential to achieve the fixed GHG emission reduction targets. To help quantify the role of behaviors in energy transition and their implications on the dynamics of an energy system, this study is conducted using the North American TIMES Energy Model, adapted to Quebec (Canada). A behavioral disruption scenario (an increase in carpooling) is introduced in the model’s transportation sector and is compared to a massive electrification scenario. Our results highlight the fact that a behavioral disruption can lead to the same GHG emission reductions (65%) by 2050 as an electrification policy, while alleviating different efforts (such as additional electrical capacity and additional costs) associated with massive electrification. Moreover, the results are sensitive to behavior-related parameters, such as social discount rates and car lifetimes.

APA, Harvard, Vancouver, ISO, and other styles

30

Chung, S. H., Ying Kei Tse, and T. M. Choi. "Managing disruption risk in express logistics via proactive planning." Industrial Management & Data Systems 115, no. 8 (September 14, 2015): 1481–509. http://dx.doi.org/10.1108/imds-04-2015-0155.

Full text

Abstract:

Purpose – The purpose of this paper is to carry out a comprehensive review for state-of-the-art works in disruption risk management of express logistics mainly supported by air-transportation. The authors aim to suggest some new research directions and insights for express logistics practitioners to develop more robust planning in air-transportation. Design/methodology/approach – The authors mainly confined the research to papers published over the last two decades. The search process was conducted in two dimensions: horizontal and vertical. In the horizontal dimension, attention was paid to the evolution of disruption management across the timeline. In the vertical dimension, different foci and strategies of disruption management are employed to distinguish each article. Three keywords were used in the full text query: “Disruption management”, “Air transportation”, and “Airline Operations” in all database searches listed above. Duplications due to database overlap, articles other than those from academic journals, and papers in languages other than English were discarded. Findings – A total of 98 articles were studied. The authors categorized the papers into two broad categories: Reactive Recovery, and Proactive Planning. In addition, based on the problem characteristics and their application scenarios, a total of 11 sub-categories in reactive recovery and nine sub-categories in proactive planning were further identified. From the analysis, the authors identified some new categories in the air-transportation recovery. In addition, by analyzing the papers in robust planning, according to the problem characteristics and the state-of-the-art research in recovery problems, the authors proposed four new research directions to enhance the reliability and robustness of air-transportation express logistics. Research limitations/implications – This study provided a comprehensive and feasible taxonomy of disruption risk management. The classification scheme was based on the problem characteristics and the application scenarios, rather than the algorithms. One advantage of this scheme is that it enables an in-depth classification of the problem, that is, sub-categories of each class can be revealed, which provides a much wider and clearer horizon to the scientific progress in this area. This helps researchers to reveal the problem’s nature and to identify the future directions more systematically. The suggestions for future research directions also point out some critical research gaps and opportunities. Practical implications – This study summarized various reasons which account for the disruption in air-transportation. In addition, the authors suggested various considerations for express logistics practitioners to enhance logistics network reliability and efficiency. Originality/value – There are various classification schemes in the literature to categorize disruption management. Using different algorithms (e.g. exact algorithm, heuristics, meta-heuristics) and distinct characteristics of the problem elements (e.g. aircraft, crew, passengers, etc.) are the most common schemes in previous efforts to produce a disruption management classification scheme. However, the authors herein attempted to focus on the problem nature and the application perspective of disruption management. The classification scheme is hence novel and significant.

APA, Harvard, Vancouver, ISO, and other styles

31

Barot, Haresh, and Poonam V. Chhaniwal. "The Journey of Unicorn Uber from San Francisco to International Disruption." Asian Journal of Management Cases 15, no. 1 (February 7, 2018): 82–91. http://dx.doi.org/10.1177/0972820117744689.

Full text

Abstract:

Uber, one of the most valuable and talked about private start-ups of today’s time, took the transportation industry by storm through its technology enabled transportation solutions. This case study explores the journey of Uber from its inception to being one of the most valuable new organizations. It also tries to explore the various issues which the company countered in its journey of expansion and growth.

APA, Harvard, Vancouver, ISO, and other styles

32

Kulchania, Manoj, and Shawn Thomas. "Cash Reserves as a Hedge against Supply-Chain Risk." Journal of Financial and Quantitative Analysis 52, no. 5 (September 11, 2017): 1951–88. http://dx.doi.org/10.1017/s0022109017000552.

Full text

Abstract:

Deregulation of the trucking industry and significantly lowered transportation costs led to large, widespread, and plausibly exogenous reductions in inventory for U.S. firms, with consequent increased supply-chain disruption (SCD) costs. We find evidence that increased SCD costs help explain the puzzling long-term trend of increasing average U.S. firm cash holdings. We also find that firms facing higher expected costs of disruptions generally save more cash from capital freed up via supply-chain management innovations. Finally, we document significant postdisruption declines in cash holdings consistent with cash as a primary source of financing during disruptions.

APA, Harvard, Vancouver, ISO, and other styles

33

Bartesaghi, Paolo, and Ernesto Estrada. "Where to cut to delay a pandemic with minimum disruption? mathematical analysis based on the SIS model." Mathematical Models and Methods in Applied Sciences 31, no. 12 (October 22, 2021): 2571–96. http://dx.doi.org/10.1142/s0218202521500561.

Full text

Abstract:

We consider the problem of modifying a network topology in such a way as to delay the propagation of a disease with minimal disruption of the network capacity to reroute goods/items/passengers. We find an approximate solution to the Susceptible-Infected-Susceptible (SIS) model, which constitutes an upper bound to its exact solution. This upper bound allows direct structure-epidemic dynamic relations via the total communicability function. Using this approach we propose a strategy to remove edges in a network that significantly delays the propagation of a disease across the network with minimal disruption of its capacity to deliver goods/items/passengers. We apply this strategy to the analysis of the UK airport transportation network weighted by the number of passengers transported in 2003. We find that the removal of all flights connecting four origin-destination pairs in the UK delays the propagation of a disease by more than 300%, with a minimal deterioration of the transportation capacity of this network. These time delays in the propagation of a disease represent an important non-pharmaceutical intervention to confront an epidemic, allowing for better preparations of the health systems, while keeping the economy moving with minimal disruptions.

APA, Harvard, Vancouver, ISO, and other styles

34

Schoen, Quentin, Raquel Sanchis, Raul Poler, Matthieu Lauras, Franck Fontanili, and Sébastien Truptil. "Categorisation of the Main Disruptive Events in the Sensitive Products Transportation Supply Chains." International Journal of Production Management and Engineering 6, no. 2 (July 26, 2018): 79. http://dx.doi.org/10.4995/ijpme.2018.10369.

Full text

Abstract:

<p>The upcoming logistic environment is about to modify deeply the way we supply products. In fact, some new trends are going to require more and more agility between a large number of stakeholders in open and dynamic networks. This should be possible to achieve thanks to new data collection and treatment abilities. Considering this moving technological and logistic environment, it appears necessary to define and categorize more specifically the main disruptive events that can affect a supply chain. In fact, amount of data are collected on the field and must be helpful to make relevant decisions in case of disruption. In order to understand automatically what these data mean, it is necessary to detect and classify the disruptive events in order to find the best adaptation. This paper focuses on the sensitive products’ supply chains, that are facing with agility high requirements, based on their ability to detect disruptive events. We take as an example the blood supply chain.</p>

APA, Harvard, Vancouver, ISO, and other styles

35

Shahdani, Fereshteh Jafari, Mónica Santamaria-Ariza, Hélder S. Sousa, Mário Coelho, and José C. Matos. "Assessing Flood Indirect Impacts on Road Transport Networks Applying Mesoscopic Traffic Modelling: The Case Study of Santarém, Portugal." Applied Sciences 12, no. 6 (March 17, 2022): 3076. http://dx.doi.org/10.3390/app12063076.

Full text

Abstract:

The key aspect for the quantification of indirect impacts of flooding is the assessment of the disruption of the transportation service considering social and economic consequences. To investigate how flooding can affect road transportation, it is essential to analyze interaction during the flood event itself, as well as on the following days. In this work, two static and dynamic traffic models are applied to a study zone for quantification of the performance and functionality of the network during the flood and after the failure of infrastructure components. A mesoscopic simulation was applied to identify the traffic disruption in the face of flood events. This simulation is capable of considering the road network model, assigning trip paths with the impact of road closures and speed reductions, and evaluating travel time and vehicle volume redistribution in a given disruption scenario. By comparing the traffic analysis results (travel time, travelled distance and street speed changes) in normal and flooded situations, the impact of flooding on a transportation network could be examined. Moreover, modelling outputs from a case study in the Santarém region (Portugal) indicated that in analyzing the flood impacts on a traffic network, even non-flooded infrastructures must be taken into account because of their service disruption.

APA, Harvard, Vancouver, ISO, and other styles

36

Kumar, Sanjay, Jiangxia Liu, and Jess Scutella. "The impact of supply chain disruptions on stockholder wealth in India." International Journal of Physical Distribution & Logistics Management 45, no. 9/10 (October 5, 2015): 938–58. http://dx.doi.org/10.1108/ijpdlm-09-2013-0247.

Full text

Abstract:

Purpose – Supply chain structure, characteristics, and applicable policies differ between developing and developed countries. While most supply chain management research is directed toward supply chains in developed countries, the authors wish to explore the financial impact of disruptions on supply chains in a developing country. The purpose of this paper is to highlight the importance of effective supply chain management practices that could help avoid or mitigate disruptions in Indian companies. The authors study the stock market impact of supply chain disruptions in Indian companies. The authors also aim to understand the difference in financial implications from disruptions between companies in India and the USA. Design/methodology/approach – Event study methodology is applied on supply chain disruptions data from Indian companies. The data are compiled from public news release in Indian press. A data set of 301 disruptions for a ten-year period from 2003-2012 is analyzed. Stock valuation of a company is used to assess the financial impact. Findings – The results show that Indian companies on average lose −2.88 percent of shareholder wealth in an 11-day window covering the event day and five days pre- and post-disruption announcement. A significant stock decline was observed as early as three days prior to announcement, indicating possibility of insider trading and information differentials between investors. Irrespective of the location and responsibility of a disruption, companies experience significant negative returns. Company size, book-to-market ratio, and debt-to-equity ratio were found to be insignificant in affecting the stock market reactions to disruptions. The authors also compiled supply chain disruptions data for US companies. When compared to the US companies, Indian companies register a significantly higher stock decline in the event of a disruption. Research limitations/implications – Supply chain disruptions data from India and the USA are analyzed. Broad applicability of results across countries may require studying other developing countries. The research demonstrates potential effectiveness of investment in supply chain management initiatives. It also motivates research focussed specifically on supply chains in developing countries. Practical implications – Supply chain decision makers in India could benefit from investment in disruptions management and mitigation practices. The results provide a valuation of effective supply chain management. The findings provide guidance for investors in making decisions when supply chains face disruptions. Originality/value – The paper studies the financial consequences of supply chain disruptions in a developing country. The study is valuable because of increasing globalization, outsourcing, and the economic role of developing countries.

APA, Harvard, Vancouver, ISO, and other styles

37

Silva, Ricardo, Soong Moon Kang, and Edoardo M. Airoldi. "Predicting traffic volumes and estimating the effects of shocks in massive transportation systems." Proceedings of the National Academy of Sciences 112, no. 18 (April 20, 2015): 5643–48. http://dx.doi.org/10.1073/pnas.1412908112.

Full text

Abstract:

Public transportation systems are an essential component of major cities. The widespread use of smart cards for automated fare collection in these systems offers a unique opportunity to understand passenger behavior at a massive scale. In this study, we use network-wide data obtained from smart cards in the London transport system to predict future traffic volumes, and to estimate the effects of disruptions due to unplanned closures of stations or lines. Disruptions, or shocks, force passengers to make different decisions concerning which stations to enter or exit. We describe how these changes in passenger behavior lead to possible overcrowding and model how stations will be affected by given disruptions. This information can then be used to mitigate the effects of these shocks because transport authorities may prepare in advance alternative solutions such as additional buses near the most affected stations. We describe statistical methods that leverage the large amount of smart-card data collected under the natural state of the system, where no shocks take place, as variables that are indicative of behavior under disruptions. We find that features extracted from the natural regime data can be successfully exploited to describe different disruption regimes, and that our framework can be used as a general tool for any similar complex transportation system.

APA, Harvard, Vancouver, ISO, and other styles

38

Kim, PhD, Karl, Pradip Pant, PhD, and Eric Yamashita, MURP. "Managing uncertainty: Lessons from volcanic lava disruption of transportation infrastructure in Puna, Hawaii." Journal of Emergency Management 16, no. 1 (March 5, 2018): 29. http://dx.doi.org/10.5055/jem.2018.0351.

Full text

Abstract:

A recent lava flow in Puna, Hawaii, threatened to close one of the major highways serving the region. This article provides background information on the volcanic hazards and describes events, responses, and challenges associated with managing a complex, long-duration disaster. In addition to the need to better understand geologic hazards and threats, there is a need for timely information and effective response and recovery of transportation infrastructure. This requires coordination and sharing of information between scientists, emergency managers, transportation planners, government agencies, and community organizations. Transportation assets play a critical role in terms of problem definition, response, and recovery. The challenges with managing a long-duration event include: (1) determining when a sufficient threat level exists to close roads; (2) identifying transportation alternatives; (3) assessing impacts on communities including the direct threats to homes, businesses, structures, and infrastructure; (4) engaging communities in planning and deliberation of choices and alternatives; and (5) managing uncertainties and different reactions to hazards, threats, and risks. The transportation planning process provides a pathway for addressing initial community concerns. Focusing not just on roadways but also on travel behavior before, during, and after disasters is a vital aspect of building resilience. The experience in Puna with the volcano crisis is relevant to other communities seeking to adapt and manage long-term threats such as climate change, sea level risk, and other long-duration events.

APA, Harvard, Vancouver, ISO, and other styles

39

Liu, Tianyou, Zhenliang Ma, and Haris N. Koutsopoulos. "Unplanned Disruption Analysis in Urban Railway Systems Using Smart Card Data." Urban Rail Transit 7, no. 3 (June 1, 2021): 177–90. http://dx.doi.org/10.1007/s40864-021-00150-x.

Full text

Abstract:

AbstractMetro system disruptions are a big concern due to their impacts on safety, service quality, and operating efficiency. A better understanding of system performance and passenger behavior under unplanned disruptions is critical for efficient decision making, effective customer communication, and identifying potential improvements. However, few studies explore disruption impacts on individual passenger behavior, and most studies use manually collected survey data. This study examines the potential of using automated collection data to comprehensively analyze unplanned disruption impacts. We propose a systematic approach to evaluate disruption impacts on system performance and individual responses in urban railway systems using automated fare collection (AFC) data. We develop a set of performance metrics to evaluate performance from the perspectives of train operations, information provision (communication), and bridging strategy (shuttle bus services to connect stations impacted by a disruption). We also propose an inference method to quantify the individual response to disruptions (e.g. travel or not, change stations or modes) depending on their trip characteristics with respect to the location and timing of the disruption. The proposed approach is demonstrated using data from a busy metro system. The results highlight the ability of AFC data in providing new insights for the analysis of unplanned disruptions, which are difficult to extract from traditional data collection methods. The case study shows that the disruption impacts are network-wide, and the impacts on passengers continue for a significant amount of time after the incident ended. The behavior highlights the importance of real-time information and the need for timely dissemination.

APA, Harvard, Vancouver, ISO, and other styles

40

Suliyanti, Rini. "Kajian Upaya Peningkatan Pelayanan Angkutan Antarmoda Di Jakarta." Warta Penelitian Perhubungan 22, no. 9 (September 30, 2010): 938–49. http://dx.doi.org/10.25104/warlit.v22i9.1131.

Full text

Abstract:

Higlrwai1 transportation StJStenz disruption due to the lzigh lerel of complexihJ is the potential complexihJof the problem of transportntion in Greater ]nknrtn mncro is ven1 large.To increase inter-mode transport senrice ns nn impl.emelltntion of the mncro problem of transportationin Greater Jnknrta have made n pattern of policies tluzt support, including transportation demandmanagement, appropriate land use planning, economic instruments, integration of transport modeswith no motor, mvareness and public support, sustainabilihJ funding ..Transportation StJStem a few countries am provide some possible solutions to tackle the problem oftransportation in Greater Jaknrta mncro abaue is to reduce primte 11ehicle, expand road capacihj,imprauing infmstn1cture facilities 111lzic11 must be inrfepe11rfent PT.KAI 7lrith n snuzll subsidy, increasingthe number of public transport, nlllt Suc/1 entrepreneurs prmride softloon to this public vehiclessuch as Metromini, PPD, Mmjasnri de11otion, Ferris, Kopnja so that it can renew its fleet and able tomanage as a feeder of the buswai; StJStem.Keywords: Pattern Policies tlmt support inter-mode transport sennce improvement, Qualitative Annlysis

APA, Harvard, Vancouver, ISO, and other styles

41

Wang, Yubin, Jingjing Wang, and Xiaoyang Wang. "COVID-19, supply chain disruption and China’s hog market: a dynamic analysis." China Agricultural Economic Review 12, no. 3 (June 26, 2020): 427–43. http://dx.doi.org/10.1108/caer-04-2020-0053.

Full text

Abstract:

PurposeThe authors explicitly evaluate the dynamic impact of five most concerned supply chain disruption scenarios, including: (1) a short-term shortage and price jump of corn supply in hog farms; (2) a shortage of market hogs to packing facilities; (3) disruption in breeding stock adjustments; (4) disruption in pork import; and (5) a combination of scenario (1)–(4).Design/methodology/approachThe agricultural supply chain experienced tremendous disruptions from the COVID-19 pandemic. To evaluate the impact of disruptions, the authors employ a system dynamics model of hog market to simulate and project the impact of COVID-19 on China hog production and pork consumption. In the model the authors explicitly characterize the cyclical pattern of hog market. The hog cycle model is calibrated using market data from 2018–2019 to represent the market situation during an ongoing African swine fever.FindingsThe authors find that the impacts of supply chain disruption are generally short-lived. Market hog transportation disruption has immediate impact on price and consumption. But the impact is smoothed out in six months. Delay in import shipment temporarily reduces consumption and raises hog price. A temporary increase of corn price or delay in breeding stock acquisition does not produce significant impact on national hog market as a whole, despite mass media coverage on certain severely affected regions.Originality/valueThis is the first evaluation of short-term supply chain disruption on China hog market from COVID-19. The authors employ a system dynamics model of hog markets with an international trade component. The model allows for monthly time step analysis and projection of the COVID-19 impact over a five-year period. The results and discussion have far-reaching implications for agricultural markets around the world.

APA, Harvard, Vancouver, ISO, and other styles

42

Wei, Dan, Adam Rose, Eyuphan Koc, Zhenhua Chen, and Lucio Soibelman. "Socioeconomic impacts of resilience to seaport and highway transportation network disruption." Transportation Research Part D: Transport and Environment 106 (May 2022): 103236. http://dx.doi.org/10.1016/j.trd.2022.103236.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Wang, Haijun, Jie Tan, Shuojia Guo, and Shenhao Wang. "High-value transportation disruption risk management: Shipment insurance with declared value." Transportation Research Part E: Logistics and Transportation Review 109 (January 2018): 293–310. http://dx.doi.org/10.1016/j.tre.2017.11.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Güler, Çağlar Utku, Alan W. Johnson, and Martha Cooper. "Case Study: Energy Industry Economic Impacts from Ohio River Transportation Disruption." Engineering Economist 57, no. 2 (April 2012): 77–100. http://dx.doi.org/10.1080/0013791x.2012.677114.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

KUMAR, SAMEER, and CHARU CHANDRA. "Supply Chain Disruption by Avian flu Pandemic for U.S. Companies: A Case Study." Transportation Journal 49, no. 4 (2010): 61–73. http://dx.doi.org/10.2307/40904915.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Noor, Ahmed K. "Disruption from the Virtual World." Mechanical Engineering 131, no. 11 (November 1, 2009): 22–28. http://dx.doi.org/10.1115/1.2009-nov-1.

Full text

Abstract:

This review discusses the concept of virtual world and its increasing implementation in the engineering domain. Current virtual worlds are computer-based simulated environments accessed by numerous users through an online interface. Virtual world applications cover a broad spectrum of activities. Globally distributed engineering teams can use virtual worlds as immersive and interactive platforms for concurrent product design, for virtual prototyping and manufacturing, and for workforce training. Virtual worlds are making a paradigm shift in new product development and are becoming an integral part of computer-aided engineering. Virtual worlds provide an opportunity for businesses to reduce production cycle time and increase user input earlier in the development process. NASA is using simulations of remote landscapes in virtual worlds to evaluate extra-terrestrial transportation options and operators. The review also highlights that virtual worlds have the potential of transforming the 2D Internet into a 360° multisensory 3D immersive experience, with all the richness, depth, and extendibility that it implies.

APA, Harvard, Vancouver, ISO, and other styles

47

Zheng, Fei Feng, Hong Long Wei, Yin Feng Xu, and Ming Liu. "Online Scheduling on Two Parallel Identical Machines with a Non-Clairvoyant Disruption." Applied Mechanics and Materials 88-89 (August 2011): 264–68. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.264.

Full text

Abstract:

This paper studies two parallel machine scheduling with a non-clairvoyantdisruption such that there happens one disruption on one machine at time 0 and its du-ration length can only be known at its end. As in [1], we introduce transportation timein the environment of disruption, aiming to minimize the maximum deviation of jobs'planned and actual completion times. We adopt online theory to describe the problemand focus on the case of unit length of job. We rst show that a greedily waiting strategyis 2-competitive. Our main result is a 3/2-competitive strategy BD which makes useof job transportation. We also prove a matching lower bound, implying that BD is anoptimal strategy.

APA, Harvard, Vancouver, ISO, and other styles

48

Karoń, Grzegorz, and Renata Żochowska. "MODELLING OF EXPECTED TRAFFIC SMOOTHNESS IN URBAN TRANSPORTATION SYSTEMS FOR ITS SOLUTIONS." Archives of Transport 33, no. 1 (March 31, 2015): 33–45. http://dx.doi.org/10.5604/08669546.1160925.

Full text

Abstract:

In urban networks, with dense traffic flows and a high risk of the disruption (even in the form of a short queue of vehicles) the probability of occurrence of such a situation (disruption and queue) is a better measure of the probabilistic description of the capacity constraints than the expected waiting time in the queue, because the probability takes into account the risk of delay in the traffic flow from the point of view of the person that plans a trip. The functions of expected smoothness of the traffic flows in the elementary nodes and the expected waiting time in the queue for different packages of ITS services have been presented in the mathematical forms.

APA, Harvard, Vancouver, ISO, and other styles

49

Lorenc, Augustyn, Michał Czuba, and Jakub Szarata. "Big data analytics and anomaly prediction in the cold chain to supply chain resilience." FME Transactions 49, no. 2 (2021): 315–26. http://dx.doi.org/10.5937/fme2102315l.

Full text

Abstract:

The purpose of the research was to develop a prediction method to prevent disruption related to temperature anomaly in the cold chain supply. The analysed data covers the period of the entire working cycle of the thermal container. In the research, automatic Big Data analysis and mathematical modelling were used to identify the disruption. Artificial Neural Network (ANN) was used to predict possible temperature-related disruption in transport. The provided research proves that it is possible to prevent over 82% of disruptions in the cold chain. The ANN enables analyses of the temperature curve and prediction of the disruption before it occurs. The research is limited to coolbox transportation of food under -20o C, but the method could also be used for Full Transport Load (FTL) in refrigerated transport. The research is based on real data, and the developed method helps to reduce the waste in the cold chain, improve transport quality and supply chain resilience. The presented method enables not only to avoid cold chain breaks but also to reduce product damage as well as improve the transport process. It could be used by cargo forwarders, Third-Party Logistics (3PL) companies to reduce costs and waste. The literature review confirms that there is no similar method to prevent disruption in the transport chain. The use of the Internet of Things (IoT) sensors for collecting data connected with Big Data analysis and ANN enables chain resilience provision.

APA, Harvard, Vancouver, ISO, and other styles

50

Shi, Yan, and Shaoyu Wang. "Indirect Economic Loss Estimation due to Seismic Highway Transportation System Disruption in “5.12” Wenchuan Earthquake." Journal of Disaster Research 8, no. 5 (October 1, 2013): 1018–24. http://dx.doi.org/10.20965/jdr.2013.p1018.

Full text

Abstract:

This paper aims to model the indirect economic loss due to damaged highway transportation systems in earthquake-affected areas that tends to be overlooked by decision-makers compared to direct economic loss that can be measured by repair or replacement cost. A regional Computable General Equilibrium (CGE) model is applied for estimating indirect economic loss in the whole economic system of the affected area. Shifang is a county-level city located in northwest Chengdu city, which is the capital of Sichuan Province, China. In the “5.12” Wenchuan earthquake, Shifang was one of the ten hardest-hit counties or cities and its highway transportation system was seriously damaged. It was selected as a case study to evaluate the indirect economic loss by seismic highway transportation system disruption. Results show that indirect economic loss accounted for nearly 36.4% of direct economic loss, which is as significant as direct economic loss resulting from earthquakedamaged highway transportation systems, and thus should be paid enough attention by decision-makers in pre-earthquake prevention and postearthquake recovery and reconstruction.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Transportation disruption'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles