Open AccessA MIP Model for Experimental Courses Scheduling
Author(s) -
Yanyan Zhu,
Jielin Jing,
Jiawen Liu,
Xiaoshan Wang,
Yong Luo
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1454/1/012008
Subject(s) - integer programming , computer science , scheduling (production processes) , mathematical optimization , job shop scheduling , operations research , algorithm , mathematics , computer network , routing (electronic design automation)
In this paper, we propose a mixed integer programming (MIP) model to solve the experimental courses scheduling problem. And we use the experimental courses historical data in our information systems to solve the MIP model. The results of the numerical example demonstrate that the proposed model can reach an optimal solution in a short period of time. The MIP model can provide the decision-making support for the experimental courses arrangement.