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Working planning in packing houses of flowers mixed farms to increase the yield
Year:
2011
Authors :
Bechar, Avital
;
.
Volume :
13
Co-Authors:
Bechar, A., Agricultural Research Organization, Institute of Agriculture Engineering, Bet-Dagan, 50250, Israel
Vitner, G., Ruppin Academic Center, School of Engineering, Emek-Hefer, 40250, Israel
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
The study deals with performance improvement in flowers mixed farms. The farm under investigation is located in the central part of Israel and grows three types of green ornamentals: Pittosporum, Aralia and Aspidistra. The farm consists of 8 hectares and employs 7 workers. The annual yield of the farm in 2009 was 3.5 million branches. The study investigates the working processes of the packing house. A computer model and work planning management tool was developed using MATLAB. The model inputs are: flower type and quantity, due date and sales price. The output is a work schedule. Results show an improvement of processing time by: 47% for Pittosporum, 19% - 45% for Aralia, and 23% - 54% for Aspidistra.
Note:
Related Files :
Flowers
Operations management
Work methods
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DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
29064
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:44
Scientific Publication
Working planning in packing houses of flowers mixed farms to increase the yield
13
Bechar, A., Agricultural Research Organization, Institute of Agriculture Engineering, Bet-Dagan, 50250, Israel
Vitner, G., Ruppin Academic Center, School of Engineering, Emek-Hefer, 40250, Israel
Working planning in packing houses of flowers mixed farms to increase the yield
The study deals with performance improvement in flowers mixed farms. The farm under investigation is located in the central part of Israel and grows three types of green ornamentals: Pittosporum, Aralia and Aspidistra. The farm consists of 8 hectares and employs 7 workers. The annual yield of the farm in 2009 was 3.5 million branches. The study investigates the working processes of the packing house. A computer model and work planning management tool was developed using MATLAB. The model inputs are: flower type and quantity, due date and sales price. The output is a work schedule. Results show an improvement of processing time by: 47% for Pittosporum, 19% - 45% for Aralia, and 23% - 54% for Aspidistra.
Scientific Publication
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