Working planning in packing houses of flowers mixed farms to increase the yield

A. Bechar; G. Vitner

Working planning in packing houses of flowers mixed farms to increase the yield

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Journal	Agricultural Engineering International: CIGR Journal
Volume	13
Issue number	3
State	Published - 1 Dec 2011
Externally published	Yes

Keywords

Flowers
Operations management
Work methods

ASJC Scopus subject areas

Automotive Engineering
Agronomy and Crop Science
Energy (miscellaneous)
Industrial and Manufacturing Engineering

Cite this

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title = "Working planning in packing houses of flowers mixed farms to increase the yield",

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.",

keywords = "Flowers, Operations management, Work methods",

author = "A. Bechar and G. Vitner",

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T1 - Working planning in packing houses of flowers mixed farms to increase the yield

AU - Bechar, A.

AU - Vitner, G.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

AB - 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.

KW - Flowers

KW - Operations management

KW - Work methods

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JF - Agricultural Engineering International: CIGR Journal

IS - 3

ER -

Working planning in packing houses of flowers mixed farms to increase the yield

Abstract

Keywords

ASJC Scopus subject areas

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