Algorithms for planning working time under interval uncertainty
Time-management refers to planning the available time in correspondence with personal goals and preferences of the employee. The criterion for efficient time-management lies in achieving definite goals in minimum possible time. This paper presents a short review of the literature on time-management....
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The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
2020-06-01
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Online Access: | https://inf.grid.by/jour/article/view/887 |
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doaj-fad9d3f7345d41bf80e5390c9075f9db2021-07-28T21:07:30ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus Informatika1816-03012020-06-011728610210.37661/1816-0301-2020-17-2-86-102921Algorithms for planning working time under interval uncertaintyYu. N. Sotskov0N. G. Egorova1N. M. Matsveichuk2The United Institute of Informatics Problems of the National Academy of Sciences of BelarusThe United Institute of Informatics Problems of the National Academy of Sciences of BelarusBelarusian State Agrarian Technical UniversityTime-management refers to planning the available time in correspondence with personal goals and preferences of the employee. The criterion for efficient time-management lies in achieving definite goals in minimum possible time. This paper presents a short review of the literature on time-management. It is shown how scheduling theory may be used for optimal planning in time-management. The problem of minimizing the total (average) weighted completion time of the planned jobs by an employee is considered provided that only lower and upper bounds of the possible processing time of each job are known before scheduling. Software for constructing a permutation of the given jobs with the largest relative semi-perimeter of the optimality parallelepiped has been developed. Computational experiment on the computer showed the effectiveness of the developed algorithms for constructing schedules for time-management.https://inf.grid.by/jour/article/view/887scheduling theorytime-managementsingle machineaverage job completion timeuncertain job processing time periods |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
Yu. N. Sotskov N. G. Egorova N. M. Matsveichuk |
spellingShingle |
Yu. N. Sotskov N. G. Egorova N. M. Matsveichuk Algorithms for planning working time under interval uncertainty Informatika scheduling theory time-management single machine average job completion time uncertain job processing time periods |
author_facet |
Yu. N. Sotskov N. G. Egorova N. M. Matsveichuk |
author_sort |
Yu. N. Sotskov |
title |
Algorithms for planning working time under interval uncertainty |
title_short |
Algorithms for planning working time under interval uncertainty |
title_full |
Algorithms for planning working time under interval uncertainty |
title_fullStr |
Algorithms for planning working time under interval uncertainty |
title_full_unstemmed |
Algorithms for planning working time under interval uncertainty |
title_sort |
algorithms for planning working time under interval uncertainty |
publisher |
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus |
series |
Informatika |
issn |
1816-0301 |
publishDate |
2020-06-01 |
description |
Time-management refers to planning the available time in correspondence with personal goals and preferences of the employee. The criterion for efficient time-management lies in achieving definite goals in minimum possible time. This paper presents a short review of the literature on time-management. It is shown how scheduling theory may be used for optimal planning in time-management. The problem of minimizing the total (average) weighted completion time of the planned jobs by an employee is considered provided that only lower and upper bounds of the possible processing time of each job are known before scheduling. Software for constructing a permutation of the given jobs with the largest relative semi-perimeter of the optimality parallelepiped has been developed. Computational experiment on the computer showed the effectiveness of the developed algorithms for constructing schedules for time-management. |
topic |
scheduling theory time-management single machine average job completion time uncertain job processing time periods |
url |
https://inf.grid.by/jour/article/view/887 |
work_keys_str_mv |
AT yunsotskov algorithmsforplanningworkingtimeunderintervaluncertainty AT ngegorova algorithmsforplanningworkingtimeunderintervaluncertainty AT nmmatsveichuk algorithmsforplanningworkingtimeunderintervaluncertainty |
_version_ |
1721262731284185088 |