Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network

He, Xiao-Song; Hu, Wenfa

doi:10.1155/2014/195053

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…Additionally, Kwon & Kim (2018) in south Korea have interpreted that any investing on preparedness stages is much more effective than costing for utilizing relief actions [ 42 ]. In a study conducted in China, it is demonstrated that an emergency supply chain needs to determine supply points, emergency logistic centers and demand points in order to respond quickly [ 43 ].…”

Section: Discussionmentioning

confidence: 99%

Designing a resilience model for pharmaceutical supply chain during crises: a grounded theory approach

Bastani

Sadeghkhani

Ravangard

et al. 2021

J of Pharm Policy and Pract

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Background During disasters or crises, the traditional models of supply chain encounter failure and skewedness under the inevitable and unknown pressures. The procurement and transformation of required equipment to the involved areas is considered as one of the main triggers of decreasing damages and losses during crisis. In this regard, a breakdown in pharmaceutical supply chain can lead to intensive, undesired consequences. Methods This was a qualitative study applying a grounded theory approach. The study was conducted with attending of 32 informant participants who were qualified in supply chain during natural disasters and crisis. In order to collect the data, deep semi-structured interviews were applied along with investigating the documents, observation, field notes and theoretical memos. For data analysis, a continuous comparison was used according to Corbin and Strauss method. Results Results of the study were categorized in 8 main categories as the main themes. “Wasting” appeared as the main factor of the resilience of pharmaceutical and consumable medical equipment supply chain. Wasting included two subthemes of loss of resources and wasting time. Conclusion In order to make resilience in pharmaceutical and consumable medical equipment during disasters, it is necessary to reinforce the various dimensions of the resilience model to increase the rate of supply chain responsiveness. This study particularly contributes to broadening and deepening our understanding of how to mitigate the risk of undesirable outcomes of pharmaceutical supply chain during the disasters or crises.

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Section: Discussionmentioning

confidence: 99%

Designing a resilience model for pharmaceutical supply chain during crises: a grounded theory approach

Bastani

Sadeghkhani

Ravangard

et al. 2021

J of Pharm Policy and Pract

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“…In the previous research studies, the studies about rescue in emergency mainly include rescue methodology [16], rescue architecture [17,18], accessibility of emergency service [19], emergency resource allocation [20][21][22][23][24][25][26][27][28], the determination of the medical rescue demand [29], the prediction of the emergency material demand [9][10][11][12][13][14][15], fre rescue prediction [30], emergency rescue location model [31], emergency rescue service model [32], and rescue performance [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Road Rescue Demand Prediction for the Improvement of Traffic System Resilience

Yang

2023

Journal of Advanced Transportation

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Road rescue can provide rescue services for faulty vehicles, such as fuel delivery, tire replacement, battery connection, on-site repair, clearing, and towing, which plays an important role in reducing casualties and property losses in traffic accidents. Based on the historical data of road rescue, this paper analyzes the influencing factors of the road rescue demand and establishes a prediction model of the road rescue demand without data grouping. In order to further improve the prediction accuracy, the data are divided into nine groups according to the importance of the influencing factors, and nine submodels are established for the nine groups of data. When the influencing factors are known, the submodel corresponding to the most important influencing factor is selected to predict the road rescue demand. A case study in Beijing is used to verify the effectiveness and superiority of the proposed models, which can effectively predict the road rescue demand under various conditions, including the normal condition, the Spring Festival, National Day, the three-day holiday (e.g., Qingming, May Day, the Dragon Boat Festival, the Mid-Autumn Festival, and New Year’s Day,), and extreme weather (e.g., low temperature, high temperature, heavy snow, heavy rain, and rainstorm). The research findings can provide scientific basis for the rescue department to deploy rescue equipment and rescue personnel in advance, raise the efficiency and quality of rescue, and improve the resilience of the transportation system.

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“…He and Hu (2014) propose a model for decision-making in disaster prevention systems for the Shanghai area, while Beard and Chamberlain (2013) employ the principles proposed in Pourbabai. et al (1996) for the analysis of the flow of information in computer network systems.…”

Section: Introductionmentioning

confidence: 99%

Análisis numérico de flujo a costo mínimo en redes con estaciones de espera: el caso M/M/1

Hernández-González

Flores-de-la-Mota

Jiménez-García

et al. 2017

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ResumenEn una red los nodos representan estaciones, almacenes, centros de distribución y clientes y circulan tanto materiales como información, por lo que una herramienta utilizada para apoyar la toma de decisiones es el modelo de flujo a costo mínimo que toma en cuenta únicamente costos de transporte. En la realidad los nodos prestan un servicio el cual requiere un tiempo de servicio, la atención sigue una disciplina y además se forma una fila de espera. En este trabajo se propone una modificación del modelo de flujo a costo mínimo para la optimización en redes de líneas de espera. Se resolvieron varios casos donde se observa un grado de exactitud aceptable en el cálculo del tiempo de ciclo y trabajo en proceso. El trabajo es de interés para los administradores y/o responsables de las cadenas de abasto y útil para la toma de decisiones a mediano y largo plazo. AbstractIn a network the nodes represent stations, warehouses, distribution centers and customers and not just materials but also information circulate, so the minimum cost flow model, that only takes transport costs into account is one of the tools used to support the decision-making. In reality, the nodes provide a service which requires a service time, the servicing follows a discipline and also a queue is formed, generating the respective service and queuing costs. -258 -tends to balance the workload along the network. This paper is of interest to administrators and people in charge of supply chains and is useful for decision-making in the medium or long time.

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Modeling Relief Demands in an Emergency Supply Chain System under Large-Scale Disasters Based on a Queuing Network

Cited by 12 publications

References 23 publications

Designing a resilience model for pharmaceutical supply chain during crises: a grounded theory approach

Designing a resilience model for pharmaceutical supply chain during crises: a grounded theory approach

Road Rescue Demand Prediction for the Improvement of Traffic System Resilience

Análisis numérico de flujo a costo mínimo en redes con estaciones de espera: el caso M/M/1

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