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Optimization of tillage and sowing operations using discrete event simulation

Research in Agricultural Engineering (Praha), 2018, Vol.64 (4), p.187-194 [Peer Reviewed Journal]

2018. This work is published under https://www.agriculturejournals.cz/web/about/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1212-9151 ;EISSN: 1805-9376 ;DOI: 10.17221/49/2017-RAE

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  • Title:
    Optimization of tillage and sowing operations using discrete event simulation
  • Author: Kosari Moghaddam, Armaghan ; Sadrnia, Hassan ; Aghel, Hassan ; Bannayan, Mohammad
  • Subjects: Costs ; discrete event simulation; modeling ; Discrete event systems ; Farms ; Machinery ; Optimization ; Simulation ; sowing; tillage ; Tillage ; timeliness costs ; Workability
  • Is Part Of: Research in Agricultural Engineering (Praha), 2018, Vol.64 (4), p.187-194
  • 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.
  • Publisher: Prague: Czech Academy of Agricultural Sciences (CAAS)
  • Language: English;Czech
  • Identifier: ISSN: 1212-9151
    EISSN: 1805-9376
    DOI: 10.17221/49/2017-RAE
  • Source: Alma/SFX Local Collection
    ProQuest Central
    DOAJ Directory of Open Access Journals
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