Irrigation scheduling using complex machine scheduling
Irrigation schedules are used in many irrigation schemes that operate on a rotational or arranged-demand basis. Determining these schedules is a complex problem, especially when done by hand. Operations research tools such as single machine scheduling are already used to schedule irrigation turns in...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
American Society of Civil Engineers
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/58422 |
| _version_ | 1855536326815776768 |
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| author | Vries, T.T. de Anwar, Arif A. |
| author_browse | Anwar, Arif A. Vries, T.T. de |
| author_facet | Vries, T.T. de Anwar, Arif A. |
| author_sort | Vries, T.T. de |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Irrigation schedules are used in many irrigation schemes that operate on a rotational or arranged-demand basis. Determining these schedules is a complex problem, especially when done by hand. Operations research tools such as single machine scheduling are already used to schedule irrigation turns in systems where only one single user can irrigate simultaneously. This paper shows how multimachine scheduling can be used to determine arranged-demand schedules for systems where two or more users can irrigate at the same time. Two models are presented, as follows: (1) the simple multimachine scheduling model that establishes a schedule for systems where all outlets/user discharges are identical, and (2) the complex multimachine scheduling model that determines the schedule when flows to individual outlet/users are not necessarily identical. |
| format | Journal Article |
| id | CGSpace58422 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | American Society of Civil Engineers |
| publisherStr | American Society of Civil Engineers |
| record_format | dspace |
| spelling | CGSpace584222025-06-17T08:24:10Z Irrigation scheduling using complex machine scheduling Vries, T.T. de Anwar, Arif A. irrigation systems mathematical models water allocation water users costs machine learning Irrigation schedules are used in many irrigation schemes that operate on a rotational or arranged-demand basis. Determining these schedules is a complex problem, especially when done by hand. Operations research tools such as single machine scheduling are already used to schedule irrigation turns in systems where only one single user can irrigate simultaneously. This paper shows how multimachine scheduling can be used to determine arranged-demand schedules for systems where two or more users can irrigate at the same time. Two models are presented, as follows: (1) the simple multimachine scheduling model that establishes a schedule for systems where all outlets/user discharges are identical, and (2) the complex multimachine scheduling model that determines the schedule when flows to individual outlet/users are not necessarily identical. 2015-05 2015-03-17T14:39:57Z 2015-03-17T14:39:57Z Journal Article https://hdl.handle.net/10568/58422 en Limited Access American Society of Civil Engineers de Vries, T. T.; Anwar, Arif A. 2014. Irrigation scheduling using complex machine scheduling. Journal of Irrigation and Drainage Engineering, 18p. (Online first) doi: https://doi.org/10.1061/(ASCE)IR.1943-4774.0000824 |
| spellingShingle | irrigation systems mathematical models water allocation water users costs machine learning Vries, T.T. de Anwar, Arif A. Irrigation scheduling using complex machine scheduling |
| title | Irrigation scheduling using complex machine scheduling |
| title_full | Irrigation scheduling using complex machine scheduling |
| title_fullStr | Irrigation scheduling using complex machine scheduling |
| title_full_unstemmed | Irrigation scheduling using complex machine scheduling |
| title_short | Irrigation scheduling using complex machine scheduling |
| title_sort | irrigation scheduling using complex machine scheduling |
| topic | irrigation systems mathematical models water allocation water users costs machine learning |
| url | https://hdl.handle.net/10568/58422 |
| work_keys_str_mv | AT vriesttde irrigationschedulingusingcomplexmachinescheduling AT anwararifa irrigationschedulingusingcomplexmachinescheduling |