An efficient network for disaster management: Model and solution

Hasanzadeh, Hamid; Bashiri, Mahdi

doi:10.1016/j.apm.2015.09.113

Cited by 32 publications

(12 citation statements)

References 43 publications

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“…A number of models of the crisis management process have been studied (e.g. B enaben, 2016; Hasanzadeh & Bashiri, 2016;Sahin, Ulubeyli & Kazaza, 2015;Valackiene, 2011). None of them, however, gave a view of crisis management in terms of such an outlook and context as this article brings.…”

Section: Aimmentioning

confidence: 99%

Prepared for a crisis? Basic elements of crisis management in an organisation

Mikušová

Horváthová

2019

Economic Research-Ekonomska Istraživanja

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The aim of this paper is to identify the basic elements that must be taken into account when constituting the complete process of crisis management in an organisation. This study explains the following: the identification of the basic elements; the sequence of the basic elements' relationships in the creation of crisis management; the reason for their importance in this process; terms; and the person/team responsible for their determination. The identification of the elements is based on a mind map. The logic progress of each action is presented in the network. Detailed graphical and tabular representations of the verbal accompaniment have been used to highlight the diversity of the activities and skills required when creating crisis management in an organisation. Thus, the elements presented and their relationships are a tool for managers. Their practical usefulness has been confirmed in several applications in different organisations.

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Section: Aimmentioning

confidence: 99%

Prepared for a crisis? Basic elements of crisis management in an organisation

Mikušová

Horváthová

2019

Economic Research-Ekonomska Istraživanja

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“…Covering location problem and hub location problems were discussed in the study. Lagrangian relaxation was used to find the lower limit for solving bigger problems [4].…”

Section: Literature Surveymentioning

confidence: 99%

Analysis of Permanent Housing Built after Disaster: Van (Turkey)

Öztaş

Akkaya

2019

Teh. vjesn.

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In 2011, 644 people passed away after two earthquakes struck the city of Van, located in eastern Turkey. Houses collapsed or were rendered uninhabitable. Thousands of people became homeless. In response, the government built 17 489 units of permanent housing in a standard size and type. This study determined a more effective housing allocation for earthquake victims by considering the types of households (one-person households, one-family households, extended-family households and multi-person, no family households) and the total available housing area as allotted by the government's relief building budget. The Analytic Hierarchy Process was used to prioritize home features for each type of household. These results showed that housing size tailored to household need was more important than price, location or design. Mathematical modeling was then used to identify housing space allocations that would serve family needs better than a uniform building approach.

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“…In addition, reducing the number of casualties and deaths in disaster-stricken areas depends, to a large extent, on the early arrival and rapid deployment of resources for emergency operations. Failure to allocate sufficient resources in time has always been the root cause of adverse effects in case of disaster [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Research on the Scheduling of Tractors in the Major Epidemic to Ensure Spring Ploughing

Chen

Zhang

et al. 2021

Mathematical Problems in Engineering

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When the outbreak of COVID-19 began, people could not go out. It was not allowed to provide agricultural machinery services in different places across regions to reduce the flow and gathering of people. Improvement of utilization efficiency of agricultural machinery resources is required through scientific scheduling of agricultural machinery. With seizing the farming season and stabilizing production as the goal, this paper studied the scientific scheduling of tractors within the scope of town and established agricultural machinery operation scheduling model with the minimization of total scheduling cost as the optimization objective. Factors such as farmland area, agricultural machinery, and farmland location information and operating time window are considered in this model to improve the accuracy of the agricultural machinery operation scheduling model. The characteristics of multiple scheduling algorithms are analyzed comprehensively. The scheduling requirements of agricultural machinery operation to ensure spring ploughing are combined to design the agricultural machinery scheduling algorithm based on the SA algorithm. With Hushu Street, Jiangning District, Nanjing City, as an example, a comparative experiment is conducted on the simulated annealing algorithm (SA) designed in this paper and the empirical algorithm and genetic algorithm (GA). The results suggest that the total cost of the scheduling scheme generated by the SA algorithm is 19,042.07 yuan lower than that by the empirical scheduling algorithm and 779.19 yuan lower than that by the genetic algorithm on average. Compared with the GA algorithm, the transfer distance, waiting cost, and delay cost of the SA algorithm are reduced by 11.6%, 100%, and 98.1% on average, indicating that the transfer distance of agricultural machinery in the scheduling scheme generated by the SA algorithm is shorter, so is the waiting and delay time. Meanwhile, it can effectively obtain the near-optimal solution that meets the time window constraint, with good convergence, stability, and adaptability.

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An efficient network for disaster management: Model and solution

Cited by 32 publications

References 43 publications

Prepared for a crisis? Basic elements of crisis management in an organisation

Prepared for a crisis? Basic elements of crisis management in an organisation

Analysis of Permanent Housing Built after Disaster: Van (Turkey)

Research on the Scheduling of Tractors in the Major Epidemic to Ensure Spring Ploughing

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