scholarly journals A Novel Hybrid Algorithm for Multiobjective Location-Allocation Problem in Emergency Logistics

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongrui Chu ◽  
Yahong Chen
Keyword(s):  
Optimization Model ◽  
Complex Model ◽  
Theory And Practice ◽  
Logistics System ◽  
Logistics Network ◽  
Location Allocation ◽  
Emergency Logistics ◽  
Ga Algorithm ◽  
Relief Distribution ◽  
Deprivation Costs

Increased frequency of disasters keeps reminding us of the importance of effective resource distribution in postdisaster. To reduce the suffering of victims, this paper focuses on how to establish an effective emergency logistics system. We first propose a multiobjective optimization model in which the location and allocation decisions are made for a three-level logistics network. Three objectives, deprivation costs, unsatisfied demand costs, and logistics cost, are adopted in the proposed optimization model. Several cardinality and flow balance constraints are considered simultaneously. Then, we design a novel effective IFA-GA algorithm by combining the firefly algorithm and genetic algorithm to solve this complex model effectively. Furthermore, three schemes are proposed to improve the effectiveness of the IFA-GA algorithm. Finally, the numerical results provide several insights on the theory and practice of relief distribution, which also illustrate the validity of the proposed solution algorithm.

scholarly journals Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability

2019 ◽  
Vol 16 (23) ◽  
pp. 4677 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Complex Network ◽  
Network Theory ◽  
Economic Life ◽  
Propagation Model ◽  
Propagation Mechanism ◽  
Scheduling Problems ◽  
Logistics System ◽  
Complex Network Theory ◽  
Logistics Network ◽  
Emergency Logistics

Emergency logistics plays an important role in the rescue process after sudden disasters. However, in the process of emergency logistics activities, risks may arise due to scheduling problems or insufficient supply of warehouse stocks, resulting in an insufficient rescue capacity. In addition, the risk of emergency logistics is random and may exist in a certain link or throughout the whole rescue process of emergency logistics. Consequently, the disaster site may be invaded by sudden disaster risk due to the lack of necessary material supplies. The entire emergency logistics system may be destroyed and cause even greater losses as well. Based on this phenomenon, this paper introduces reliability factors of materials and combines the complex network theory to build an emergency logistics network and analyze the emergency logistics risk propagation mechanism. This paper firstly builds an emergency logistics network based on complex network theory. Then, it combines the improved epidemic model to analyze the influencing factors of risk propagation in the emergency logistics network. Finally, this paper probes into the emergency logistics risk propagation mechanisms and processes in terms of network type, material reliability, rescue speed, etc. Furthermore, this paper identifies key factors for risk control and proposes countermeasures to further spread risks, thereby reducing the risk to loss of economic life.

scholarly journals Optimization on Emergency Resources Transportation Network Based on Bayes Risk Function: A Case Study

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Changfeng Zhu ◽  
Gang Fang ◽  
Qingrong Wang
Keyword(s):  
Travel Time ◽  
Network Optimization ◽  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Risk Function ◽  
Path Selection ◽  
Bayes Risk ◽  
Logistics Network ◽  
Emergency Logistics ◽  
Remaining Capacity

In order to coordinate the complex relationship between supplies distribution and path selection, some influential factors must be taken into account such as the insufficient remaining capacity of the road and uncertainty of travel time during supplies distribution and transportation. After the structure of emergency logistics network is analyzed, the travel time Bayes risk function of path and the total loss Bayes risk function of the disaster area are proposed. With the emergency supplies total transportation unit loss as the goal, an emergency logistics network optimization model under crowded conditions is established by the Bayes decision theory and solved by the improved ant colony algorithm. Then, a case of the model is validated to prove that the emergency logistics network optimization model is effective in congested conditions.

scholarly journals Optimization method of emergency logistics network in the initial post-earthquake stage considering multiple factors and the case analysis

2021 ◽  
Vol 40 (1) ◽  
pp. 1357-1366
Author(s):  
Junxiang Xu ◽  
Jingni Guo ◽  
Jin Zhang ◽  
Yongdong Sun ◽  
Weihua Liu ◽  
...  
Keyword(s):  
Hybrid Genetic Algorithm ◽  
Optimization Method ◽  
Allocation Model ◽  
Logistics Network ◽  
Location Allocation ◽  
Emergency Logistics ◽  
Initial Stage ◽  
Optimal Target ◽  
The Difference ◽  
Location Allocation Problem

Based on the traditional reliable location problem and the facility location-allocation problem (FLAP), this paper firstly considered the factors of staged characteristics, facility disruption scenarios, multiple types of fuzzy demand, and facility capacity limitations in the initial stage of post-earthquake rescue. Then, a location-allocation model of emergency facilities suitable to be applied in the initial stage of post-earthquake rescue was established. On this basis, considering the characteristics of the model, a hybrid genetic algorithm with integer coding was designed. Finally, taking the Wenchuan Earthquake as a case, numerical simulation and analysis were conducted, which verified the effectiveness of the model and algorithm proposed in this research. The results of this paper can optimize the system target by more than 21.6%; even if there is no emergency facility disruption after the earthquake, the difference between the optimization result and the optimal target value is only 8.3%.

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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