scholarly journals Graph Evaluation and Review Technique for Emergency Logistics Distribution in Complex Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lin Lu ◽  
Liguo Yang ◽  
Xiaochun Luo
Keyword(s):  
Decision Making ◽  
Disaster Relief ◽  
Random Network ◽  
Success Probability ◽  
Distribution Model ◽  
Material Distribution ◽  
Logistics Distribution ◽  
Emergency Rescue ◽  
Emergency Logistics ◽  
Rescue System

Emergency logistics is one of the important measures to solve the unconventional sudden disaster. The research on the distribution design of emergency logistics project has an important supporting role for the whole emergency rescue system. Therefore, it is necessary to analyze and plan the emergency logistics project scientifically in order to better serve the emergency rescue system. In view of the defect that the current emergency logistics model cannot completely describe the whole emergency logistics process, this paper proposes a new emergency logistics distribution model by using GERT random network. From the perspective of system, this model fully considers the possible situation in the process of emergency material transportation and puts forward the corresponding countermeasures, so as to improve the transportation efficiency of rescue materials in the actual disaster relief activities to speed up disaster relief. Based on the properties of moment generating function and the calculation method of Mason formula, this paper fully considers the success probability, risk probability, delivery time, and other factors of the distribution route and puts forward the transshipment scheme of each logistics site to the disaster sites. After that, the effectiveness of GERT stochastic network in the process of emergency distribution is verified by an example of a logistics distribution route, which provides decision-making basis for relevant departments. Compared with the literature, this paper uses GERT network model to intuitively and clearly express the overall process of emergency material distribution, breaks through the thinking mode of simply choosing the distribution path in the distribution process, combines with the dynamic changes of the distribution environment, and comprehensively considers the timeliness and traffic capacity of emergency material distribution in sudden disasters, so as to provide reference for emergency management in complex and random situations for decision-making reference.

Reliability Analysis of the Emergency Logistics Supply Chain

2012 ◽  
Vol 170-173 ◽  
pp. 101-105
Author(s):  
Yi Ming Zhang
Keyword(s):  
Supply Chain ◽  
Evaluation System ◽  
Optimization Problem ◽  
Logical Structure ◽  
Reliability Theory ◽  
Reliable Operation ◽  
Protection Mechanism ◽  
Emergency Rescue ◽  
Emergency Logistics ◽  
Rescue System

Emergency logistics is not a normal logistics, the objective of its supply chain is to maximize time efficiency and minimize disaster losses. It is an important protection mechanism of emergency rescue system, after the emergency incident ,the reliable operation of the logistics supply chain is the basis and key of emergency rescue. This paper introduces the characteristics of emergency logistics and reliability theory, establishes the reliability model and its evaluation system of emergency logistics supply chain, and explores the optimization problem of the reliability, the system logical structure and logistics cost.

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 Financing and pricing strategies of construction supply chain under capital constraint

2021 ◽  
Vol 336 ◽  
pp. 09004
Author(s):  
Yuxin Wen ◽  
Linyi Wu ◽  
Fengmin Yao
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Stackelberg Game ◽  
Distribution Model ◽  
Pricing Strategies ◽  
External Financing ◽  
Pricing Decision ◽  
Decentralized Decision Making ◽  
Internal Financing ◽  
Decision Making Model

Affected by factors such as cost, the financial constraints faced by the supply chain are becoming more and more severe. This paper constructs a financing and pricing decision-making model for the construction supply chain under capital constraints, and uses Stackelberg game theory to analyze and obtain the best financing and pricing strategy for the construction supply chain under the internal and external financing modes. The study found that when centralized decision-making is adopted, there is a profit distribution model that makes the profits obtained by construction developers and contractors greater than the profits obtained in decentralized decision-making; the internal financing model of the construction supply chain is better than external financing, and can enable the construction supply chain get higher profits.

Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue

2021 ◽  
Vol 17 (12) ◽  
pp. 155014772110612
Author(s):  
Zhao Chunxiao ◽  
Guo Junjie
Keyword(s):  
Social Network ◽  
Network Model ◽  
Smart City ◽  
Disaster Relief ◽  
Network Modeling ◽  
Mobile Social Network ◽  
Emergency Rescue ◽  
Routing Strategy ◽  
Social Network Modeling ◽  
Post Disaster

Nearest neighbor mobile social network means that movers approaching in position communicate through their social sensors, which is called Proximity Mobile Social Network. Proximity Mobile Social Network can provide more social and business opportunities for users. To carry out disaster relief work in post-disaster environment, we need to collect incident information during the search process and report to the sink in time. Proximity Mobile Social Network provides flexible systems for emergency handling and disaster relief. Therefore, how to find a better data forwarding and routing strategy is the key problem of post-disaster rescue, and the research of user mobility model is the basis of the above problems. This article presents an Autonomy-Oriented Proximity Mobile Social Network modeling for emergency rescue in smart city, which simulates the network operating environment. First, we verify the performance of Autonomy-Oriented Proximity Mobile Social Network model in terms of self-organization, scale-free, aggregation, and community structure. Then, the rescue efficiency is discussed through the coverage of mobile sensors. Finally, performance of the routing strategy based on Autonomy-Oriented Proximity Mobile Social Network model is analyzed, and the effectiveness of the method is proved.

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