تخمين إنتاجية معدات إنشاء الطرق باستخدام المنطق الضبابي و الشبكات العصبية الاصطناعية

Other Title(s)

Productivity estimation of road construction equipment’s using fuzzy logic and neural network

Joint Authors

شيلان حميد أمين
عمران، حسن علي
علي، رائد سليم عبد

Source

مجلة الهندسة والتكنولوجيا

Issue

Vol. 36, Issue 4C (s) (30 Apr. 2018), pp.1-12, 12 p.

Publisher

University of Technology

Publication Date

2018-04-30

Country of Publication

Iraq

No. of Pages

12

Main Topic

Road Engineering

Topics

Abstract EN

Estimating the productivity of road construction equipment is a key factor in estimating the cost of road construction projects successfully, and helps in determining the time required to complete these projects.

The objective of this study is to estimate the productivity of road construction machines used in Iraq using fuzzy logic and neural network, and monitoring the productivity of these equipment’s during the work period.

Most previous research has developed different mathematical models to estimate equipment productivity, but they do not provide accurate or reliable production estimation.

Most of these mathematical models are based on ready-made mathematical formula, regardless of the state of these machines and working conditions.

They also have difficulty describing the environment even if they are considered as a part of these models.

Estimating the productivity using these classical models depends on historical records of performance, as well as personal opinions of the engineer and his special judgments.

In this research, the artificial neural network was used to estimate the productivity of road construction equipment taking into account the various factors that affect productivity.

One of the most important factors affecting the productivity of road construction equipment in Iraq is the weather, which depends on the location and date of operation of the project; therefor, fuzzy expert system is used to estimate the weather during the working period depending on the location and date of work.

In addition, the productivity estimation can be made continuously before and during the work, giving a better view to the contractor to adjust his plans according to the project conditions and follow-up work during entire work period.

American Psychological Association (APA)

شيلان حميد أمين وعلي، رائد سليم عبد وعمران، حسن علي. 2018. تخمين إنتاجية معدات إنشاء الطرق باستخدام المنطق الضبابي و الشبكات العصبية الاصطناعية. مجلة الهندسة والتكنولوجيا،مج. 36، ع. 4C (s)، ص ص. 1-12.
https://search.emarefa.net/detail/BIM-900241

Modern Language Association (MLA)

شيلان حميد أمين....[و آخرون]. تخمين إنتاجية معدات إنشاء الطرق باستخدام المنطق الضبابي و الشبكات العصبية الاصطناعية. مجلة الهندسة والتكنولوجيا مج. 36، ع. 4C (عدد خاص) (2018)، ص ص. 1-12.
https://search.emarefa.net/detail/BIM-900241

American Medical Association (AMA)

شيلان حميد أمين وعلي، رائد سليم عبد وعمران، حسن علي. تخمين إنتاجية معدات إنشاء الطرق باستخدام المنطق الضبابي و الشبكات العصبية الاصطناعية. مجلة الهندسة والتكنولوجيا. 2018. مج. 36، ع. 4C (s)، ص ص. 1-12.
https://search.emarefa.net/detail/BIM-900241

Data Type

Journal Articles

Language

Arabic

Notes

يتضمن مراجع ببليوجرافية : ص. 12

Record ID

BIM-900241