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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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2017
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| Subjects: | |
| Online Access: | 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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| Summary: | 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. |
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