2022
DOI: 10.1007/s00500-022-06784-8
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Volunteer multi-person multi-task optimization dispatch method considering two-sided matching

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Cited by 11 publications
(3 citation statements)
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“…Comprehensive matching degrees between medical staff and rescue tasks. Finally, Lingo software was used to solve the scheduling Model (13), and the obtained medical personnel scheduling results are shown in Figure 4. In Figure 4, the blue, red, and purple shapes represent the rescue tasks to be completed in disaster areas D 1 , D 2 , and D 3 , respectively.…”
Section: Case Studymentioning
confidence: 99%
See 1 more Smart Citation
“…Comprehensive matching degrees between medical staff and rescue tasks. Finally, Lingo software was used to solve the scheduling Model (13), and the obtained medical personnel scheduling results are shown in Figure 4. In Figure 4, the blue, red, and purple shapes represent the rescue tasks to be completed in disaster areas D 1 , D 2 , and D 3 , respectively.…”
Section: Case Studymentioning
confidence: 99%
“…Until now, studies on post-earthquake rescuer scheduling are still relatively scarce, and the relevant literature is limited. From the perspective of rescue participants, most of the existing methods for post-earthquake scheduling of rescuers can be divided into two categories, i.e., the dispatching of professional rescue forces funded by the government [9][10][11] and the dispatching of social forces (such as volunteers) [12][13][14]. The government-funded rescuers are usually the main emergency rescue forces, responsible for the majority of emergency rescue work, and the social forces are mainly composed of local enterprises, public organizations, and non-governmental organizations.…”
Section: Introductionmentioning
confidence: 99%
“…At present, the theory and method of two-sided matching or multi-attribute twosided matching of information such as ordinal value [2] (or called preference order, etc. ), ordinal relationship, language, interval number, and other information about the preferences of both parties have been relatively perfect [5].…”
Section: Introductionmentioning
confidence: 99%