Optimization of tillage and sowing operations using discrete event simulation
A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena® simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness cos...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2018-12-01
|
| Series: | Research in Agricultural Engineering |
| Subjects: | |
| Online Access: | https://rae.agriculturejournals.cz/artkey/rae-201804-0004_optimization-of-tillage-and-sowing-operations-using-discrete-event-simulation.php |
| _version_ | 1797897933664813056 |
|---|---|
| author | Armaghan Kosari Moghaddam Hassan Sadrnia Hassan Aghel Mohammad Bannayan |
| author_facet | Armaghan Kosari Moghaddam Hassan Sadrnia Hassan Aghel Mohammad Bannayan |
| author_sort | Armaghan Kosari Moghaddam |
| collection | DOAJ |
| description | A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena® simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness costs were calculated for each machinery set. Timeliness costs were estimated for 21-years period on daily basis (Daily Work method) and compared with another method (Average Work method) based on the equation proposed by ASAE Standards, EP 496.3FEB2006. The Inputs of the model were machinery sets, field size, machines performances and daily soil workability state. The optimization criteria were the lowest costs and lowest standard deviation in daily work method plus the lowest costs based on average work method. The validity of the model was evaluated by comparing the output of the model with field observed data collected from various farms. Results revealed that there was no significant difference (P > 0.01) between the observed and predicted finish day. |
| first_indexed | 2024-04-10T08:05:11Z |
| format | Article |
| id | doaj.art-6224592cdd024a3d9b87108ee28c8d4c |
| institution | Directory Open Access Journal |
| issn | 1212-9151 1805-9376 |
| language | English |
| last_indexed | 2024-04-10T08:05:11Z |
| publishDate | 2018-12-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Research in Agricultural Engineering |
| spelling | doaj.art-6224592cdd024a3d9b87108ee28c8d4c2023-02-23T03:47:52ZengCzech Academy of Agricultural SciencesResearch in Agricultural Engineering1212-91511805-93762018-12-0164418719410.17221/49/2017-RAErae-201804-0004Optimization of tillage and sowing operations using discrete event simulationArmaghan Kosari Moghaddam0Hassan SadrniaHassan Aghel1Mohammad Bannayan2Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, IranFaculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, IranFaculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, IranA simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena® simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness costs were calculated for each machinery set. Timeliness costs were estimated for 21-years period on daily basis (Daily Work method) and compared with another method (Average Work method) based on the equation proposed by ASAE Standards, EP 496.3FEB2006. The Inputs of the model were machinery sets, field size, machines performances and daily soil workability state. The optimization criteria were the lowest costs and lowest standard deviation in daily work method plus the lowest costs based on average work method. The validity of the model was evaluated by comparing the output of the model with field observed data collected from various farms. Results revealed that there was no significant difference (P > 0.01) between the observed and predicted finish day.https://rae.agriculturejournals.cz/artkey/rae-201804-0004_optimization-of-tillage-and-sowing-operations-using-discrete-event-simulation.phpdiscrete event simulation; modelingsowing; tillagetimeliness costs |
| spellingShingle | Armaghan Kosari Moghaddam Hassan Sadrnia Hassan Aghel Mohammad Bannayan Optimization of tillage and sowing operations using discrete event simulation Research in Agricultural Engineering discrete event simulation; modeling sowing; tillage timeliness costs |
| title | Optimization of tillage and sowing operations using discrete event simulation |
| title_full | Optimization of tillage and sowing operations using discrete event simulation |
| title_fullStr | Optimization of tillage and sowing operations using discrete event simulation |
| title_full_unstemmed | Optimization of tillage and sowing operations using discrete event simulation |
| title_short | Optimization of tillage and sowing operations using discrete event simulation |
| title_sort | optimization of tillage and sowing operations using discrete event simulation |
| topic | discrete event simulation; modeling sowing; tillage timeliness costs |
| url | https://rae.agriculturejournals.cz/artkey/rae-201804-0004_optimization-of-tillage-and-sowing-operations-using-discrete-event-simulation.php |
| work_keys_str_mv | AT armaghankosarimoghaddam optimizationoftillageandsowingoperationsusingdiscreteeventsimulation AT hassansadrnia optimizationoftillageandsowingoperationsusingdiscreteeventsimulation AT hassanaghel optimizationoftillageandsowingoperationsusingdiscreteeventsimulation AT mohammadbannayan optimizationoftillageandsowingoperationsusingdiscreteeventsimulation |