scholarly journals Research on Decision Model of Emergency Material Distribution Based on Random Information

2021 ◽  
Vol 2136 (1) ◽  
pp. 012064
Author(s):  
Chen Liu
Keyword(s):  
Decision Model ◽  
Negative Relationship ◽  
Material Distribution ◽  
Important Link ◽  
Information Updating ◽  
Emergency Logistics ◽  
Fairness And Efficiency ◽  
Objective Programming

Abstract As an important link of emergency logistics, emergency material distribution has been widely concerned and applied in the development of today’s society. From the consideration of the fairness and efficiency of material distribution, there is a kind of negative and negative relationship between them. As a lever, information updating can be used to solve the problems of fairness and efficiency in the distribution of emergency supplies. Based on fuzzy objective programming, the classification decision model of emergency materials is discussed in this paper.

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.

scholarly journals Research on the Allocation of Flood Drainage Rights of the Sunan Canal Based on a Bi-level Multi-Objective Programming Model

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1769 ◽  
Author(s):  
Dandan Zhang ◽  
Juqin Shen ◽  
Fuhua Sun ◽  
Bo Liu ◽  
Zeyu Wang ◽  
...  
Keyword(s):  
Flood Control ◽  
Optimal Allocation ◽  
Programming Model ◽  
Market Mechanism ◽  
Iteration Algorithm ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Fairness And Efficiency ◽  
Comprehensive Benefit ◽  
Objective Programming

To reduce flood disasters and optimize of the comprehensive benefit of the water basin, the allocation of regional flood drainage rights is of great significance. Using the “top-down” allocation mode, we consider the influence of the social, economic, and ecological environments, flood drainage demand and efficiency, and other factors on the allocation of flood drainage rights. A bi-level multi-objective programming model from the perspective of fairness and efficiency is established for the allocation. The Sunan Canal is taken as a typical case study. The model is solved by the multi-objective optimal allocation method and the master–slave hierarchical interactive iteration algorithm. After three iterations of the initial solution, the allocation of flood drainage rights in six flood control regions finally reach an effective state. The results of the model were compared with results based on historical allocation principles, showing that the bi-level multi-objective programming model, based on the principles of fairness and efficiency, is more in line with the current social and economic development of the canal. In view of the institutional background of water resources management in China and the flood drainage pressure faced by various regions, the allocation of flood drainage rights should be comprehensively considered in combination with various factors, and the market mechanism should be utilized to optimize the allocation.

Managing Emergency Material Distribution Knowledge Using Ontology-Based Modeling for Emergency Distribution Decision

2012 ◽  
Vol 605-607 ◽  
pp. 2337-2340 ◽  
Author(s):  
Li Zhang ◽  
Da Li Jiang ◽  
Ya Rong Ju ◽  
Qian Zhu Wang ◽  
Pei Pei Li
Keyword(s):  
Optimization Methods ◽  
Material Distribution ◽  
Modeling Framework ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Rule Based ◽  
Location Routing ◽  
Ontology Modeling ◽  
Ontology Model ◽  
Emergency Logistics

Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

A Fixed Observation Boundary Decision Model for Detection of Change

1974 ◽  
Author(s):  
Graham J. Burkheimer ◽  
William E. Stein ◽  
Amnon Rapoport
Keyword(s):  
Decision Model
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