A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm

In project planning, risk assessment method plays vital role. Poorly assessed project risks cause degeneration at project cost, project completion time, and project output quality and project scope. Each project activity risk influence these project success factors. Implementation performance of a p...

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Main Author: Emin Başar Baylan
Format: Article
Language:English
Published: Ital Publication 2020-10-01
Series:Emerging Science Journal
Subjects:
Online Access:https://ijournalse.org/index.php/ESJ/article/view/410
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author Emin Başar Baylan
author_facet Emin Başar Baylan
author_sort Emin Başar Baylan
collection DOAJ
description In project planning, risk assessment method plays vital role. Poorly assessed project risks cause degeneration at project cost, project completion time, and project output quality and project scope. Each project activity risk influence these project success factors. Implementation performance of a project activity triggers or smooth of its successor’s activity risks. Because of this; employing robust and detailed risk assessment methods is important to reach those project goals. In project risk assessment literature, when it is investigated, it is noticed that risk assessment and evaluation methods are only developed at whole project level. Actually, they are not comprehensive enough to evaluate the project risks at activity level. Besides that traditional risk assessment methods such as risk matrix does not able analyze project risk quantitatively. With this motivation, main aim of this study is developing a multi-criteria based decision method which prioritizing project risks at activity level. AHP and TOPSIS method are combined to developed novel method. In this hybrid method, Constructing AHP model is to prioritize work packages with respect to relative importance of project time, project output quality and project cost. Broken down structure of these work packages are used as input for weighted criteria for TOPSIS method. In second layer of this decision method, TOPSIS model is used for prioritizing predetermined activity risks according weighted project work packages success criteria. In the application of this method, a case study approach is followed. In this sense, “Global Furniture Ltd.” which is established in Istanbul, Turkey is chosen as a case to apply newly developed model. Results showed that application of AHP-Stochastic TOPSIS Hybrid Algorithm provides a platform that project risks could be analyzed as quantitative and also at project activity level.
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spelling doaj.art-2f44dad66652479d8663b5ab9653c1ca2022-12-22T01:32:45ZengItal PublicationEmerging Science Journal2610-91822020-10-014539041010.28991/esj-2020-01239147A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid AlgorithmEmin Başar Baylan0Istanbul Commerce University Industrial Engineering, Istanbul 34840,In project planning, risk assessment method plays vital role. Poorly assessed project risks cause degeneration at project cost, project completion time, and project output quality and project scope. Each project activity risk influence these project success factors. Implementation performance of a project activity triggers or smooth of its successor’s activity risks. Because of this; employing robust and detailed risk assessment methods is important to reach those project goals. In project risk assessment literature, when it is investigated, it is noticed that risk assessment and evaluation methods are only developed at whole project level. Actually, they are not comprehensive enough to evaluate the project risks at activity level. Besides that traditional risk assessment methods such as risk matrix does not able analyze project risk quantitatively. With this motivation, main aim of this study is developing a multi-criteria based decision method which prioritizing project risks at activity level. AHP and TOPSIS method are combined to developed novel method. In this hybrid method, Constructing AHP model is to prioritize work packages with respect to relative importance of project time, project output quality and project cost. Broken down structure of these work packages are used as input for weighted criteria for TOPSIS method. In second layer of this decision method, TOPSIS model is used for prioritizing predetermined activity risks according weighted project work packages success criteria. In the application of this method, a case study approach is followed. In this sense, “Global Furniture Ltd.” which is established in Istanbul, Turkey is chosen as a case to apply newly developed model. Results showed that application of AHP-Stochastic TOPSIS Hybrid Algorithm provides a platform that project risks could be analyzed as quantitative and also at project activity level.https://ijournalse.org/index.php/ESJ/article/view/410risk assessmenttopsisproject riskmcdmrisk assessment method.
spellingShingle Emin Başar Baylan
A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
Emerging Science Journal
risk assessment
topsis
project risk
mcdm
risk assessment method.
title A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
title_full A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
title_fullStr A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
title_full_unstemmed A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
title_short A Novel Project Risk Assessment Method Development via AHP-TOPSIS Hybrid Algorithm
title_sort novel project risk assessment method development via ahp topsis hybrid algorithm
topic risk assessment
topsis
project risk
mcdm
risk assessment method.
url https://ijournalse.org/index.php/ESJ/article/view/410
work_keys_str_mv AT eminbasarbaylan anovelprojectriskassessmentmethoddevelopmentviaahptopsishybridalgorithm
AT eminbasarbaylan novelprojectriskassessmentmethoddevelopmentviaahptopsishybridalgorithm