Retrospect and prospect of emergency logistics in China

2021 ◽  
Author(s):  
Si Liu ◽  
Ganli Liao ◽  
Jielin Yin
Keyword(s):  
Emergency Logistics

Improving the Appropriateness of Advanced Life Support Teams’ Dispatch: A Before-After Study

2021 ◽  
pp. 1-7
Author(s):  
Lorenzo Gamberini ◽  
Cosimo Picoco ◽  
Donatella Del Giudice ◽  
Corrado Zenesini ◽  
Marco Tartaglione ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Life Support ◽  
Advanced Life Support ◽  
Emergency Operation ◽  
Support Teams ◽  
Global Sensitivity ◽  
Emergency Logistics ◽  
Prehospital Emergency ◽  
Task Time ◽  
Algorithm Implementation

Abstract Background and Importance: The dispatch of Advanced Life Support (ALS) teams in Emergency Medical Services (EMS) is still a hardly studied aspect of prehospital emergency logistics. In 2015, the dispatch algorithm of Emilia Est Emergency Operation Centre (EE-EOC) was implemented and the dispatch of ALS teams was changed from primary to secondary based on triage of dispatched vehicles for high-priority interventions when teams with Immediate Life Support (ILS) skills were dispatched. Objectives: This study aimed to evaluate the effects on the appropriateness of ALS teams’ intervention and their employment time, and to compare sensitivity and specificity of the algorithm implementation. Design: This was a retrospective before-after observational study. Settings and Participants: Primary dispatches managed by EE-EOC involving ambulances and/or ALS teams were included. Two groups were created on the basis of the years of intervention (2013-2014 versus 2017-2018). Intervention: A switch from primary to secondary dispatch of ALS teams in case of high-priority dispatches managed by ILS teams was implemented. Outcomes: Appropriateness of ALS team intervention, total task time of ALS vehicles, and sensitivity and specificity of the algorithm were reviewed. Results: The study included 242,501 emergency calls that generated 56,567 red code dispatches. The new algorithm significantly increased global sensitivity and specificity of the system in terms of recognition of potential need of ALS intervention and the specificity of primary ALS dispatch. The appropriateness of ALS intervention was significantly increased; total tasking time per day for ALS and the number of critical dispatches without ALS available were reduced. Conclusion: The revision of the dispatch criteria and the extension of the two-tiered dispatch for ALS teams significantly increased the appropriateness of ALS intervention and reduced both the global tasking time and the number of high-priority dispatches without ALS teams available.

scholarly journals Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1115 ◽  
Author(s):  
Peng Jiang ◽  
Yixin Wang ◽  
Chao Liu ◽  
Yi-Chung Hu ◽  
Jingci Xie
Keyword(s):  
Decision Making ◽  
Distribution System ◽  
Multiple Attribute Decision Making ◽  
Supply System ◽  
Critical Factors ◽  
Logistics System ◽  
Factors Influencing ◽  
Emergency Logistics ◽  
Multiple Attribute ◽  
Coordination System

The infectious disease COVID-19 has swept across the world in 2020, and it continues to cause massive losses of life and severe economic problems in all countries. Providing emergency supplies such as protective medical equipment and materials required to secure people’s livelihood is thus currently prioritized by governments. Establishing a reliable emergency logistics system is critical in this regard. This paper used the Delphi method to design a formal decision structure to assess emergency logistics system reliability (ELSR) by obtaining a consensus from a panel of experts. Assessing ELSR is a typical multiple-attribute decision making (MADM) problem, and the related MADM methods are usually on the basis of symmetry principles. A hybrid MADM model, called the Decision Making Trial and Evaluation Laboratory (DEMATEL)-based Analytical Network Process (D-ANP), was developed to identify the critical factors influencing ELSR. An analysis of empirical evidence showed that the emergency logistics command and coordination system and the emergency material supply system play important roles in ELSR, while the emergency logistics transportation and distribution system and the emergency information system are not so important. This conclusion is different from previous research about traditional disaster emergency logistics. Moreover, the cause–effect relationships among the key factors indicated that the system of command and coordination for emergency logistics and the supply system for emergency materials should be improved. Accordingly, effective suggestions for emergency logistics services for epidemic prevention are provided in this paper. The main contributions of this paper are (1) establishing a comprehensive and systematic evaluating index of ELSR for epidemic prevention; (2) employing a kind of structured, namely D-ANP, to identify the critical factors with non-commensurable and conflicting (competing) characteristics; and (3) comparing the differences of reliable criteria between the emergency logistics of epidemic prevention and the traditional disaster emergency logistics.

The Research of Emergency Logistics Routing Optimization Based on Improved Ant Colony Optimization

2012 ◽  
Vol 482-484 ◽  
pp. 2519-2523
Author(s):  
Teng Fei ◽  
Li Yi Zhang ◽  
Yun Shan Sun ◽  
Hong Wei Ren
Keyword(s):  
Mathematical Model ◽  
Ant Colony Algorithm ◽  
Model Solution ◽  
Ant Colony ◽  
Traffic Situation ◽  
Logistics System ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Emergency Logistics ◽  
Improved Ant Colony Algorithm

Emergency logistics system contains information on material reserves, emergency command and emergency distribution. In this paper, the aspect of emergency distribution only is analyzed in microscopic, mathematical model of emergency logistics distribution has been established in considering the traffic situation and shortage degree. On the aspect of model solution, improved ant colony algorithm, which can enhance the selectivity of finding the best solution in emergency logistics distribution routing, is used in solving the model.

scholarly journals Research on Cross-Border Emergency Logistics Collaboration Mechanism under the Background of Belt One Road Initiative

2020 ◽  
Vol 5 (4) ◽  
pp. 256
Author(s):  
Jiangze Zhang
Keyword(s):  
Coordination Mechanism ◽  
Management Systems ◽  
Logistics System ◽  
Effective Implementation ◽  
Cross Border ◽  
Emergency Logistics ◽  
Depth Analysis ◽  
Special Part ◽  
Belt And Road ◽  
The Belt And Road

<p>Emergency logistics is a special part of the logistics system. When emergencies occur, emergency logistics is indispensable. Currently, the current situation of cross-border emergency logistics has many drawbacks. In order to further reduce the losses caused by emergencies, it is necessary to improve the cross-border emergency logistics system, in-depth analysis of the current problems in the four aspects of cross-border logistics management, systems, logistics information, and material distribution in countries along the Belt and Road Initiative, through the establishment of a cross-border emergency logistics coordination mechanism, relevant strategies are established to ensure the effective implementation of emergency logistics.</p>

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