Scheduling in the university: mathematical methods and software

Automating of scheduling in a university is an important issue. From a mathematical point of view, this is an integer programming challenge. The complexity of its solution is associated with a significant dimension of the problem being solved, a large number of restrictions, possible nonlinearity of...

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Autores principales:	N. Samsonova, A. Simonov
Formato:	article
Lenguaje:	RU
Publicado:	State University of Management 2019
Materias:	organization of study scheduling automation mathematical modeling integer linear programming software document automation Electronics TK7800-8360 Management information systems T58.6-58.62
Acceso en línea:	https://doaj.org/article/bba788ed03bd4dc687c913fbda2c4b6e
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spelling	oai:doaj.org-article:bba788ed03bd4dc687c913fbda2c4b6e2021-11-14T15:54:16ZScheduling in the university: mathematical methods and software2658-34452686-840710.26425/2658-3445-2018-1-60-69https://doaj.org/article/bba788ed03bd4dc687c913fbda2c4b6e2019-02-01T00:00:00Zhttps://e-management.guu.ru/jour/article/view/9https://doaj.org/toc/2658-3445https://doaj.org/toc/2686-8407Automating of scheduling in a university is an important issue. From a mathematical point of view, this is an integer programming challenge. The complexity of its solution is associated with a significant dimension of the problem being solved, a large number of restrictions, possible nonlinearity of the objective function, the complexity of the individual requirements formalization. There were attempts to apply the widest range of optimization methods to automate scheduling in university: linear programming methods, reducing the dimensionality reduction methods, clustering, agent modeling, genetic algorithm, the simplest brute-force plans. All these methods do not guarantee efficient plans obtainment in a reasonable time but many are able to find fairly good solutions. There are also technical difficulties associated with the needs of the large amounts of data processing. Organizational characteristics of specific universities also can become a significant problem with automation, which creates high requirements for portability and customization of the software product. Nevertheless, there is a number of programs that allow solving the scheduling automating problem, and some of this programs functions are considered in this article. All programs are also characterized by solving issues of documenting the processes associated with scheduling, including the ability to compile various types of schedules, the ability to export schedules into Word and Excel, automatic mailing etc. However, all this programs have a function of manual adjustment of the created schedule, which indirectly indicates the possibility of improving the applied algorithms.N. SamsonovaA. SimonovState University of Managementarticleorganization of studyscheduling automationmathematical modelinginteger linear programmingsoftwaredocument automationElectronicsTK7800-8360Management information systemsT58.6-58.62RUE-Management, Vol 0, Iss 1, Pp 60-69 (2019)
institution	DOAJ
collection	DOAJ
language	RU
topic	organization of study scheduling automation mathematical modeling integer linear programming software document automation Electronics TK7800-8360 Management information systems T58.6-58.62
spellingShingle	organization of study scheduling automation mathematical modeling integer linear programming software document automation Electronics TK7800-8360 Management information systems T58.6-58.62 N. Samsonova A. Simonov Scheduling in the university: mathematical methods and software
description	Automating of scheduling in a university is an important issue. From a mathematical point of view, this is an integer programming challenge. The complexity of its solution is associated with a significant dimension of the problem being solved, a large number of restrictions, possible nonlinearity of the objective function, the complexity of the individual requirements formalization. There were attempts to apply the widest range of optimization methods to automate scheduling in university: linear programming methods, reducing the dimensionality reduction methods, clustering, agent modeling, genetic algorithm, the simplest brute-force plans. All these methods do not guarantee efficient plans obtainment in a reasonable time but many are able to find fairly good solutions. There are also technical difficulties associated with the needs of the large amounts of data processing. Organizational characteristics of specific universities also can become a significant problem with automation, which creates high requirements for portability and customization of the software product. Nevertheless, there is a number of programs that allow solving the scheduling automating problem, and some of this programs functions are considered in this article. All programs are also characterized by solving issues of documenting the processes associated with scheduling, including the ability to compile various types of schedules, the ability to export schedules into Word and Excel, automatic mailing etc. However, all this programs have a function of manual adjustment of the created schedule, which indirectly indicates the possibility of improving the applied algorithms.
format	article
author	N. Samsonova A. Simonov
author_facet	N. Samsonova A. Simonov
author_sort	N. Samsonova
title	Scheduling in the university: mathematical methods and software
title_short	Scheduling in the university: mathematical methods and software
title_full	Scheduling in the university: mathematical methods and software
title_fullStr	Scheduling in the university: mathematical methods and software
title_full_unstemmed	Scheduling in the university: mathematical methods and software
title_sort	scheduling in the university: mathematical methods and software
publisher	State University of Management
publishDate	2019
url	https://doaj.org/article/bba788ed03bd4dc687c913fbda2c4b6e
work_keys_str_mv	AT nsamsonova schedulingintheuniversitymathematicalmethodsandsoftware AT asimonov schedulingintheuniversitymathematicalmethodsandsoftware
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Scheduling in the university: mathematical methods and software

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