After the closure of the schools in Hungary from March 2020 due to the pandemic, many students were left at home with no or not enough parental help for studying, and in the meantime some people had more free time and willingness to help others in need during the lockdown. In this paper we describe the optimisation aspects of a joint NGO project for allocating voluntary mentors to students using a web-based coordination mechanism. The goal of the project has been to form optimal pairs and study groups by taking into account the preferences and the constraints of the participants. In this paper, we present the optimisation concept and the integer programming techniques used for solving the allocation problems. Furthermore, we conducted computational simulations on real and generated data to evaluate the performance of this dynamic matching scheme under different parameter settings.

2020 年 3 月匈牙利因疫情关闭学校后，许多学生被留在家里，没有或没有足够的父母帮助学习，同时一些人有更多的空闲时间和愿意帮助有需要的人封锁。在本文中，我们描述了一个非政府组织联合项目的优化方面，该项目使用基于网络的协调机制为学生分配志愿导师。该项目的目标是通过考虑参与者的偏好和限制来形成最佳配对和研究组。在本文中，我们介绍了用于解决分配问题的优化概念和整数规划技术。此外，