A decision making approach for post-disaster multi-criteria facility location- assignment problem

2013 ◽  
pp. 615-622
Keyword(s):  
Decision Making ◽  
Facility Location ◽  
Assignment Problem ◽  
Location Assignment ◽  
Post Disaster

Statistical analysis and modeling to examine the exterior and interior building damage pertaining to the 2016 Kumamoto earthquake

2021 ◽  
pp. 875529302110354
Author(s):  
Haoyi Xiu ◽  
Takayuki Shinohara ◽  
Masashi Matsuoka ◽  
Munenari Inoguchi ◽  
Ken Kawabe ◽  
...  
Keyword(s):  
Decision Making ◽  
Assessment Procedure ◽  
Field Surveys ◽  
The 2016 Kumamoto Earthquake ◽  
Damage Grade ◽  
Damage Grades ◽  
Distinct Stage ◽  
Survey Results ◽  
The Relationship ◽  
Post Disaster

After an earthquake occurs, field surveys are conducted by relevant authorities to assess the damage suffered by buildings. The field survey is essential as it ensures the safety of residents and provides the necessary information to local authorities for post-disaster recovery. In Japan, a primary (mandatory) exterior survey is conducted first, and a secondary (voluntary) interior survey is performed subsequently if the residents request a reinvestigation. However, a major challenge associated with field surveys is the substantial time cost of determining the damage grades. Moreover, an interior survey is performed only after receiving the reinvestigation request from occupants, which further delays the decision-making process. In addition, the risk of incorrect damage estimation during the exterior survey must be considered because underestimating the damage can endanger the residents. Therefore, in this study, a three-part analysis (Parts I–III), where each part corresponds to a distinct stage of the standard damage assessment procedure, was performed to characterize the relationship between the building parameters and damage grades at different stages. To further explore the possibility of accelerating decision-making, predictive modeling was performed in each part. The Part I results indicate that estimating the final damage grade for all buildings immediately after the exterior survey is similar to treating the exterior survey results as the final ones. The Part II results show that buildings that potentially require an interior survey can be predicted with reasonable accuracy after the exterior survey. In buildings for which reinvestigations have been requested, Part III demonstrates that the risk of underestimation in the exterior survey can be predicted reliably.

A Decision Methodology for Determining Suitable Post-Disaster Accommodations: Reconsidering Effective Indicators for Decision-making Processes

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
S. M. Amin Hosseini ◽  
Albert de la Fuente ◽  
Oriol Pons ◽  
Carmen Mendoza Arroyo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Natural Hazard ◽  
Recovery Process ◽  
Decision Making Process ◽  
Temporary Housing ◽  
Universal Approach ◽  
Decision Making Processes ◽  
Main Factors ◽  
Post Disaster

AbstractOne of the main challenges in assisting displaced persons who have lost their homes as a result of a natural hazard is the provision of adequate post-disaster accommodations, such as temporary housing. Although the need for temporary housing has increased around the world in recent years, it has been criticized on economic, environmental, and social grounds. A universal approach to post-disaster accommodations cannot successfully deal with this issue because each recovery process involves a unique set of conditions. Therefore, rather than defining a specific strategy, this study aims to present an approach capable of producing customized strategies based on contextual and social conditions. To this end, first, the main factors influencing the choice of post-disaster accommodations are identified through five case studies. It is concluded that all of the factors can be organized into three main vertices to simplify the highly complex issues involved in post-disaster accommodations. The case studies also show that the decision-making process consists of two main parts. To date, a recurring failure to distinguish between these two parts has led to unsuitable outcomes. Thus, this paper presents a new decision-making methodology, consisting of multiple steps, phases, and indicators based on the main vertices.

Fuzzy multi-attribute group decision making to identify the order of establishing temporary logistics hubs during disaster response

2019 ◽  
Vol 9 (1) ◽  
pp. 2-21 ◽  
Author(s):  
Rajali Maharjan ◽  
Shinya Hanaoka
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Disaster Response ◽  
Group Decision ◽  
Decision Makers ◽  
Numerical Illustration ◽  
Content Type ◽  
Using Data ◽  
The Impact ◽  
Post Disaster

Purpose The purpose of this paper is to reveal the importance of the order of establishment of temporary logistics hubs (TLHs) when resources (mobile storage units used as TLHs) are limited and to present the development and implementation of a methodology that determines the order of establishment of TLHs to support post-disaster decision making. Design/methodology/approach It employed a decision support system that considers multiple decision makers and subjective attributes, while also addressing the impreciseness inherent in post-disaster decision making for ordering the establishment of TLHs. To do so, an optimization model was combined with a fuzzy multi-attribute group decision making approach. A numerical illustration was performed using data from the April 2015 Nepal Earthquake. Findings The results showed the location and order of establishment of TLHs, and demonstrated the impact of decision makers’ opinions on the overall ordering. Research limitations/implications The study does not discuss the uncertain nature of the location problem and the potential need for relocation of TLHs. Practical implications This methodology offers managerial insights for post-disaster decision making when resources are limited and their effective utilization is vital. The results highlight the importance of considering the opinions of multiple actors/decision makers to enable coordination and avoid complication between the growing numbers of humanitarian responders during disaster response. Originality/value This study introduces the concept of the order of establishment of TLHs and demonstrates its importance when resources are limited. It develops and implements a methodology determining the order of establishment of TLHs to support post-disaster decision making.

ASSIGNMENT PROBLEM AS A DECISION SUPPORT PROCESS TOOLKIT IN THE LOGISTIC FIRM TURNOVER

2021 ◽  
Vol 2021 (2) ◽  
pp. 24-31
Author(s):  
Vladimir Kovalev ◽  
Elena Averchenkova ◽  
Andrey Averchenkov
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Assignment Problem ◽  
Problem Solution ◽  
Logistics Enterprise ◽  
Firm Turnover ◽  
Decision Support Process

The features of the decision-making at a logistics enterprise are shown. The assignment problem solution on the example of a specific commodity item made it possible to determine the directions of increasing the efficiency of the warehouse complex functioning, to propose the distribution of goods by cells, to find the optimal option for storing goods in the warehouse of a specific logistics enterprise.

scholarly journals Particle Swarm Optimization Using Neighborhood-Based Mutation Operator and Intermediate Disturbance Strategy for Outbound Container Storage Location Assignment Problem

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yuyan He ◽  
Aihu Wang ◽  
Hailiang Su ◽  
Mengyao Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Assignment Problem ◽  
Particle Swarm ◽  
Local Solution ◽  
Mutation Operator ◽  
Swarm Optimization ◽  
Intermediate Disturbance ◽  
Storage Location ◽  
Location Assignment ◽  
Container Storage Location Assignment

Outbound container storage location assignment problem (OCSLAP) could be defined as how a series of outbound containers should be stacked in the yard according to certain assignment rules so that the outbound process could be facilitated. Considering the NP-hard nature of OCSLAP, a novel particle swarm optimization (PSO) method is proposed. The contributions of this paper could be outlined as follows: First, a neighborhood-based mutation operator is introduced to enrich the diversity of the population to strengthen the exploitation ability of the proposed algorithm. Second, a mechanism to transform the infeasible solutions into feasible ones through the lowest stack principle is proposed. Then, in the case of trapping into the local solution in the search process, an intermediate disturbance strategy is implemented to quickly jump out of the local solution, thereby enhancing the global search capability. Finally, numerical experiments have been done and the results indicate that the proposed algorithm achieves a better performance in solving OCSLAP.

Multiagent Learning-Based Approach to Transit Assignment Problem

2005 ◽  
Vol 1926 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Mohammed Wahba ◽  
Amer Shalaby
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Assignment Problem ◽  
System Performance ◽  
Transit Assignment ◽  
Peak Period ◽  
Transit System ◽  
Transit Network ◽  
Passenger Travel ◽  
Transit Routes

This paper presents an operational prototype of an innovative framework for the transit assignment problem, structured in a multiagent way and inspired by a learning-based approach. The proposed framework is based on representing passengers and their learning and decision-making activities explicitly. The underlying hypothesis is that individual passengers are expected to adjust their behavior (i.e., trip choices) according to their experience with transit system performance. A hypothetical transit network, which consists of 22 routes and 194 stops, has been developed within a microsimulation platform (Paramics). A population of 3,000 passengers was generated and synthesized to model the transit assignment process in the morning peak period. Using reinforcement learning to represent passengers’ adaptation and accounting for differences in passengers’ preferences and the dynamics of the transit network, the prototype has demonstrated that the proposed approach can simultaneously predict how passengers will choose their routes and estimate the total passenger travel cost in a congested network as well as loads on different transit routes.

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