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Improvement of work methods in tomato greenhouses using simulation
Year:
2007
Source of publication :
Transactions of the ASABE
Authors :
Bechar, Avital
;
.
Yosef, Shlomo
;
.
Volume :
50
Co-Authors:
Bechar, A., Institute of Agricultural Engineering, ARO, Volcani Center, Bet Dagan, Israel, Institute of Agricultural Engineering, ARO, Volcani Center, P.O. Box 6, Bet Dagan, 50250, Israel
Yosef, S., Institute of Agricultural Engineering, ARO, Volcani Center, Bet Dagan, Israel
Netanyahu, S., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Edan, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Facilitators :
From page:
331
To page:
338
(
Total pages:
8
)
Abstract:
Greenhouse tomato growing processes are labor intensive, and the large numbers of workers involved in the various operations cause bottlenecks that affect costs and working efficiency. The main bottleneck points are in the trellising and harvesting stages, and in the transportation to the packinghouse. This study aimed to suggest improved working practices in tomato greenhouses by reducing manual labor. The study took place on a farm with 30 ha of tomato greenhouses located in southwest Israel. Work studies were conducted, and the working procedures were characterized. Two simulation models of the working procedures in tomato greenhouses were developed in ARENA and Microsoft Excel Visual Basic on the basis of statistical analysis of the work-study data. The Visual Basic simulation environment proved to be better suited to the agricultural environment. Several alternatives for the various work procedures were suggested and evaluated. The results indicate that fruit pickers should use a picking cart, progressing along the row in a batch advance method, and that longer rows are preferable and reduce working time. This could reduce manual labor by up to 32%. © 2007 American Society of Agricultural and Biological Engineers.
Note:
Related Files :
computer simulation
harvesting
Picking
Process engineering
Simulation
Tomato greenhouse
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Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
27056
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:27
Scientific Publication
Improvement of work methods in tomato greenhouses using simulation
50
Bechar, A., Institute of Agricultural Engineering, ARO, Volcani Center, Bet Dagan, Israel, Institute of Agricultural Engineering, ARO, Volcani Center, P.O. Box 6, Bet Dagan, 50250, Israel
Yosef, S., Institute of Agricultural Engineering, ARO, Volcani Center, Bet Dagan, Israel
Netanyahu, S., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Edan, Y., Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Improvement of work methods in tomato greenhouses using simulation
Greenhouse tomato growing processes are labor intensive, and the large numbers of workers involved in the various operations cause bottlenecks that affect costs and working efficiency. The main bottleneck points are in the trellising and harvesting stages, and in the transportation to the packinghouse. This study aimed to suggest improved working practices in tomato greenhouses by reducing manual labor. The study took place on a farm with 30 ha of tomato greenhouses located in southwest Israel. Work studies were conducted, and the working procedures were characterized. Two simulation models of the working procedures in tomato greenhouses were developed in ARENA and Microsoft Excel Visual Basic on the basis of statistical analysis of the work-study data. The Visual Basic simulation environment proved to be better suited to the agricultural environment. Several alternatives for the various work procedures were suggested and evaluated. The results indicate that fruit pickers should use a picking cart, progressing along the row in a batch advance method, and that longer rows are preferable and reduce working time. This could reduce manual labor by up to 32%. © 2007 American Society of Agricultural and Biological Engineers.
Scientific Publication
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