Effect of Lean Tools to Control External Environment Risks of Construction Projects

Among the existing management concepts and methods implemented for solving construction project delays is the integration of lean tools in the construction project cycle. While these lean tools are said to minimize delays and improve project delivery processes, most have been conceptualized to asses...

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主要な著者: Ansah, Richard Hannis, Sorooshian, Shahryar
フォーマット: 論文
言語:English
English
出版事項: Elsevier Ltd 2017
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オンライン・アクセス:http://umpir.ump.edu.my/id/eprint/18177/1/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects.pdf
http://umpir.ump.edu.my/id/eprint/18177/2/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects%201.pdf
http://umpir.ump.edu.my/id/eprint/18177/
http://www.sciencedirect.com/science/article/pii/S2210670716307168
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spelling my.ump.umpir.181772020-02-21T07:49:02Z http://umpir.ump.edu.my/id/eprint/18177/ Effect of Lean Tools to Control External Environment Risks of Construction Projects Ansah, Richard Hannis Sorooshian, Shahryar HD28 Management. Industrial Management Among the existing management concepts and methods implemented for solving construction project delays is the integration of lean tools in the construction project cycle. While these lean tools are said to minimize delays and improve project delivery processes, most have been conceptualized to assess aspects of the lean tools. However, to ensure suitability and applicability, and thus, the success of lean tools implementation, there is the need for identification and appropriate prioritization of the lean tools. This paper proposes a novel delay control framework based on AHP method for the evaluation of lean tools application in the external environment (political, economic, social, technological, legal, and environmental aspects) of construction projects. To extend the qualitative data, six main delay sources and forty lean tools were extracted from the existing literature for further empirical inquiry. The results of the framework indicated that the most effective lean tools were concurrent engineering, last planner system and daily huddle meetings with priorities 0.425235, 0.379652 and 0.371172 respectively. Meanwhile, the least influenced lean tool was found to be SMART Goals with priority 0.026566. This framework, would provide a decision tool for practitioners to determine appropriate lean tools to control specific delay sources. Elsevier Ltd 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18177/1/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18177/2/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects%201.pdf Ansah, Richard Hannis and Sorooshian, Shahryar (2017) Effect of Lean Tools to Control External Environment Risks of Construction Projects. Sustainable Cities and Society, 32. pp. 348-356. ISSN 2210-6707 http://www.sciencedirect.com/science/article/pii/S2210670716307168
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Ansah, Richard Hannis
Sorooshian, Shahryar
Effect of Lean Tools to Control External Environment Risks of Construction Projects
description Among the existing management concepts and methods implemented for solving construction project delays is the integration of lean tools in the construction project cycle. While these lean tools are said to minimize delays and improve project delivery processes, most have been conceptualized to assess aspects of the lean tools. However, to ensure suitability and applicability, and thus, the success of lean tools implementation, there is the need for identification and appropriate prioritization of the lean tools. This paper proposes a novel delay control framework based on AHP method for the evaluation of lean tools application in the external environment (political, economic, social, technological, legal, and environmental aspects) of construction projects. To extend the qualitative data, six main delay sources and forty lean tools were extracted from the existing literature for further empirical inquiry. The results of the framework indicated that the most effective lean tools were concurrent engineering, last planner system and daily huddle meetings with priorities 0.425235, 0.379652 and 0.371172 respectively. Meanwhile, the least influenced lean tool was found to be SMART Goals with priority 0.026566. This framework, would provide a decision tool for practitioners to determine appropriate lean tools to control specific delay sources.
format Article
author Ansah, Richard Hannis
Sorooshian, Shahryar
author_facet Ansah, Richard Hannis
Sorooshian, Shahryar
author_sort Ansah, Richard Hannis
title Effect of Lean Tools to Control External Environment Risks of Construction Projects
title_short Effect of Lean Tools to Control External Environment Risks of Construction Projects
title_full Effect of Lean Tools to Control External Environment Risks of Construction Projects
title_fullStr Effect of Lean Tools to Control External Environment Risks of Construction Projects
title_full_unstemmed Effect of Lean Tools to Control External Environment Risks of Construction Projects
title_sort effect of lean tools to control external environment risks of construction projects
publisher Elsevier Ltd
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18177/1/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects.pdf
http://umpir.ump.edu.my/id/eprint/18177/2/Effect%20of%20Lean%20Tools%20to%20Control%20External%20Environment%20Risks%20of%20Construction%20Projects%201.pdf
http://umpir.ump.edu.my/id/eprint/18177/
http://www.sciencedirect.com/science/article/pii/S2210670716307168
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