Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment
Construction site layout planning is a fundamental task for any project undertaking. In practice, most of construction site layout planning problems are dynamic, multi-objective and uncertain in nature. To enhance the general practice of dynamic construction site layout planning, this paper proposes...
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Veröffentlicht in: | Automation in construction 2012-11, Vol.27, p.155-169 |
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description | Construction site layout planning is a fundamental task for any project undertaking. In practice, most of construction site layout planning problems are dynamic, multi-objective and uncertain in nature. To enhance the general practice of dynamic construction site layout planning, this paper proposes a fuzzy random multi-objective decision making model. In this model, two objectives are considered: (1) minimizing the total cost of site layout; and (2) maximizing the distance between the ‘high-risk’ facilities and the ‘high-protection’ facilities to reduce the possibility of safety or environmental accidents. After stating the problem and presenting the mathematical formulation, this paper deals with fuzzy random variables to propose an equivalent crisp model. According to the characteristics of the proposed model, a multi-objective particle swarm optimization algorithm (MOPSO) with permutation-based representation is proposed to solve the problem. The approach is applied to the Longtan hydropower construction project to illustrate the effectiveness of the proposed model and algorithm.
► A model for multi-objective dynamic construction site layout planning was proposed. ► Fuzzy random uncertainty was incorporated into mathematical modelling of the site environment. ► Permutation-based MOPSO algorithm was designed to calculate the desired site layout parameters. ► The model and the algorithm were successfully applied in construction practice. |
doi_str_mv | 10.1016/j.autcon.2012.05.017 |
format | Article |
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► A model for multi-objective dynamic construction site layout planning was proposed. ► Fuzzy random uncertainty was incorporated into mathematical modelling of the site environment. ► Permutation-based MOPSO algorithm was designed to calculate the desired site layout parameters. ► The model and the algorithm were successfully applied in construction practice.</description><identifier>ISSN: 0926-5805</identifier><identifier>EISSN: 1872-7891</identifier><identifier>DOI: 10.1016/j.autcon.2012.05.017</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Algorithms ; Applied sciences ; Buildings. Public works ; Computation methods. Tables. Charts ; Construction ; Construction costs ; Construction works ; Dynamic construction site layout planning ; Dynamics ; Exact sciences and technology ; Fuzzy ; Fuzzy logic ; Fuzzy random environment ; Fuzzy set theory ; Mathematical models ; Multi-objective particle swarm optimization ; Project management. Process of design ; Site organization ; Structural analysis. Stresses ; Uncertainty</subject><ispartof>Automation in construction, 2012-11, Vol.27, p.155-169</ispartof><rights>2012 Elsevier B.V.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-e29445d08c571fb91c74171505ba7e8b6f24b3c205872bfe8e724cce5c85447e3</citedby><cites>FETCH-LOGICAL-c369t-e29445d08c571fb91c74171505ba7e8b6f24b3c205872bfe8e724cce5c85447e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0926580512001112$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26193430$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Jiuping</creatorcontrib><creatorcontrib>Li, Zongmin</creatorcontrib><title>Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment</title><title>Automation in construction</title><description>Construction site layout planning is a fundamental task for any project undertaking. In practice, most of construction site layout planning problems are dynamic, multi-objective and uncertain in nature. To enhance the general practice of dynamic construction site layout planning, this paper proposes a fuzzy random multi-objective decision making model. In this model, two objectives are considered: (1) minimizing the total cost of site layout; and (2) maximizing the distance between the ‘high-risk’ facilities and the ‘high-protection’ facilities to reduce the possibility of safety or environmental accidents. After stating the problem and presenting the mathematical formulation, this paper deals with fuzzy random variables to propose an equivalent crisp model. According to the characteristics of the proposed model, a multi-objective particle swarm optimization algorithm (MOPSO) with permutation-based representation is proposed to solve the problem. The approach is applied to the Longtan hydropower construction project to illustrate the effectiveness of the proposed model and algorithm.
► A model for multi-objective dynamic construction site layout planning was proposed. ► Fuzzy random uncertainty was incorporated into mathematical modelling of the site environment. ► Permutation-based MOPSO algorithm was designed to calculate the desired site layout parameters. ► The model and the algorithm were successfully applied in construction practice.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Buildings. Public works</subject><subject>Computation methods. Tables. Charts</subject><subject>Construction</subject><subject>Construction costs</subject><subject>Construction works</subject><subject>Dynamic construction site layout planning</subject><subject>Dynamics</subject><subject>Exact sciences and technology</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy random environment</subject><subject>Fuzzy set theory</subject><subject>Mathematical models</subject><subject>Multi-objective particle swarm optimization</subject><subject>Project management. Process of design</subject><subject>Site organization</subject><subject>Structural analysis. Stresses</subject><subject>Uncertainty</subject><issn>0926-5805</issn><issn>1872-7891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE9r3DAQxUVpoNuk36AHXQq92B3JkmVfAmHzp4ENCW1zFrJ2XLTYUirJC5tPX4UNOeY0MLw3b96PkK8Magas_bGrzZJt8DUHxmuQNTD1gaxYp3ilup59JCvoeVvJDuQn8jmlHQAoaPsVebxbpuyq-2GHNrs90suDN7OzdB18ynEpy-Dpb5eRbswhLJk-TMZ75_9S5-n18vx8oL-M34aZXvm9i8HP6PMZORnNlPDL6zwlj9dXf9Y_q839ze36YlPZpu1zhbwXQm6hs1KxceiZVYIpJkEORmE3tCMXQ2M5yNJkGLFDxYW1KG0nhVDYnJLvx7tPMfxbMGU9u2RxKi9iWJJmrWICRNfIIhVHqY0hpYijfopuNvGgGegXinqnjxT1C0UNUheKxfbtNcEka6YxGm9devPylvWNaKDozo86LHX3DqNO1qG3uHWxkNXb4N4P-g8y-YpL</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Xu, Jiuping</creator><creator>Li, Zongmin</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20121101</creationdate><title>Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment</title><author>Xu, Jiuping ; Li, Zongmin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-e29445d08c571fb91c74171505ba7e8b6f24b3c205872bfe8e724cce5c85447e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Buildings. Public works</topic><topic>Computation methods. Tables. Charts</topic><topic>Construction</topic><topic>Construction costs</topic><topic>Construction works</topic><topic>Dynamic construction site layout planning</topic><topic>Dynamics</topic><topic>Exact sciences and technology</topic><topic>Fuzzy</topic><topic>Fuzzy logic</topic><topic>Fuzzy random environment</topic><topic>Fuzzy set theory</topic><topic>Mathematical models</topic><topic>Multi-objective particle swarm optimization</topic><topic>Project management. Process of design</topic><topic>Site organization</topic><topic>Structural analysis. Stresses</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Jiuping</creatorcontrib><creatorcontrib>Li, Zongmin</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Automation in construction</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Jiuping</au><au>Li, Zongmin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment</atitle><jtitle>Automation in construction</jtitle><date>2012-11-01</date><risdate>2012</risdate><volume>27</volume><spage>155</spage><epage>169</epage><pages>155-169</pages><issn>0926-5805</issn><eissn>1872-7891</eissn><abstract>Construction site layout planning is a fundamental task for any project undertaking. In practice, most of construction site layout planning problems are dynamic, multi-objective and uncertain in nature. To enhance the general practice of dynamic construction site layout planning, this paper proposes a fuzzy random multi-objective decision making model. In this model, two objectives are considered: (1) minimizing the total cost of site layout; and (2) maximizing the distance between the ‘high-risk’ facilities and the ‘high-protection’ facilities to reduce the possibility of safety or environmental accidents. After stating the problem and presenting the mathematical formulation, this paper deals with fuzzy random variables to propose an equivalent crisp model. According to the characteristics of the proposed model, a multi-objective particle swarm optimization algorithm (MOPSO) with permutation-based representation is proposed to solve the problem. The approach is applied to the Longtan hydropower construction project to illustrate the effectiveness of the proposed model and algorithm.
► A model for multi-objective dynamic construction site layout planning was proposed. ► Fuzzy random uncertainty was incorporated into mathematical modelling of the site environment. ► Permutation-based MOPSO algorithm was designed to calculate the desired site layout parameters. ► The model and the algorithm were successfully applied in construction practice.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.autcon.2012.05.017</doi><tpages>15</tpages></addata></record> |
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subjects | Algorithms Applied sciences Buildings. Public works Computation methods. Tables. Charts Construction Construction costs Construction works Dynamic construction site layout planning Dynamics Exact sciences and technology Fuzzy Fuzzy logic Fuzzy random environment Fuzzy set theory Mathematical models Multi-objective particle swarm optimization Project management. Process of design Site organization Structural analysis. Stresses Uncertainty |
title | Multi-Objective Dynamic Construction Site Layout Planning in Fuzzy Random Environment |
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