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49654

COMPUTER MODEL FOR SUPPORTING FARM MACHINERY REPLACEMENT DECISION

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Last updated: 22 Jan 2023

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Abstract

A computer model was developed to aid farm machinery decision makers in deciding the optimum replacement time for an individual machine. The model based on solving a set of mathematical equations via Microsoft Visual Basic® to resolve the appropriate decision. The mainly input data composed of machines purchased price, date and age when purchased, the annual inflation and interest rates, the yearly repair and maintenance costs and operating hours over the machine's life. The major criterion to keep equipment in service or replace it was the values of calculated average accumulated costs over a period of years. To run the model, realistic costs data of Kubota combine (35.79 kW), collected from the Agricultural Engineering Station in Elsadeen – Sharkia governorate, were utilized to proof its capability of making decisions. The results showed that it might be better to replace the Kubota combine at the end of year eighth years old or after 6000 operating hours. With high confidence one can assume that the current model would be helpful in assisting the mangers of farm machinery in building a clear strategy for machinery replacement.

DOI

10.21608/jssae.2014.49654

Keywords

Computer Model, replacement, decision makers, Farm Machinery

Authors

First Name

A. M. I.

Last Name

Soliman

MiddleName

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Affiliation

Agricultural Engineering Research Institute, Giza, Egypt

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City

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Orcid

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First Name

A. E.

Last Name

Khater

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Affiliation

Agricultural Engineering Research Institute, Giza, Egypt.

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Volume

5

Article Issue

9

Related Issue

7694

Issue Date

2014-09-01

Receive Date

2014-08-28

Publish Date

2014-09-01

Page Start

1,221

Page End

1,232

Print ISSN

2090-3685

Online ISSN

2090-3766

Link

https://jssae.journals.ekb.eg/article_49654.html

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https://jssae.journals.ekb.eg/service?article_code=49654

Order

2

Type

Original Article

Type Code

889

Publication Type

Journal

Publication Title

Journal of Soil Sciences and Agricultural Engineering

Publication Link

https://jssae.journals.ekb.eg/

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Article

Created At

22 Jan 2023