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Tower cranes layout planning using agent-based simulation considering activity conflicts
The layout planning of tower cranes is a processes which defines the types, the quantities and the positions of tower cranes, has a significant impact on the overall productivity and cost effectiveness of construction projects. Previous research utilized either mathematical methods or visualization...
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Published in: | Automation in construction 2018-09, Vol.93, p.348-360 |
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description | The layout planning of tower cranes is a processes which defines the types, the quantities and the positions of tower cranes, has a significant impact on the overall productivity and cost effectiveness of construction projects. Previous research utilized either mathematical methods or visualization tools to find an optimal tower crane layout plan. However, such methods and tools are not adequate to evaluate the effect of conflict among tower cranes, in terms of time and cost calculations. Moreover, they do not assure the maximum efficiency of tower crane layout to fulfill the needs of crane-based executed activities. This paper presents an Agent Based Simulation (ABS) model to overcome the limitations of previous research. The proposed ABS model has the superiority of quantitatively assessing the effect of conflict on the overall time and costs of tower crane operations. It is capable of simulating tower cranes operations and interactions between different agents of the model. Furthermore, it calculates the time and the cost of tower crane's operation cycles, taking into account the potential conflicts among the working tower cranes. In addition, the proposed model is able to compare between several combinations of tower crane layouts to achieve the optimum solution that fulfills the requirements, with respect to the time or the cost. A case study has been provided to demonstrate the capabilities and contributions of the developed ABS model.
•Minimize and evaluate the effect of conflict between tower cranes on time and cost.•Optimize the utilization for multiple tower cranes layout to comply with time schedule.•Simulate tower cranes operations using ABS tool to plan and optimize tower crane location, numbers and types.•Determine combination configuration for a group of tower cranes considering conflicts.•Manage the conflict between the tower cranes and evaluate its effect on the execution of the tower crane operations. |
doi_str_mv | 10.1016/j.autcon.2018.05.030 |
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•Minimize and evaluate the effect of conflict between tower cranes on time and cost.•Optimize the utilization for multiple tower cranes layout to comply with time schedule.•Simulate tower cranes operations using ABS tool to plan and optimize tower crane location, numbers and types.•Determine combination configuration for a group of tower cranes considering conflicts.•Manage the conflict between the tower cranes and evaluate its effect on the execution of the tower crane operations.</description><identifier>ISSN: 0926-5805</identifier><identifier>EISSN: 1872-7891</identifier><identifier>DOI: 10.1016/j.autcon.2018.05.030</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Activity conflicts ; Agent Based Simulation ; Agent-based models ; Computer simulation ; Construction costs ; Cost effectiveness ; Cranes ; Cranes & hoists ; Layout planning ; Layouts ; Mathematical analysis ; Mathematical models ; Optimization ; Probability ; Tower cranes ; Visualization</subject><ispartof>Automation in construction, 2018-09, Vol.93, p.348-360</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier BV Sep 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-7360ad18e17fff51041f70030b37f74691f51c1b7fc55dfe68574eda4cd7defa3</citedby><cites>FETCH-LOGICAL-c334t-7360ad18e17fff51041f70030b37f74691f51c1b7fc55dfe68574eda4cd7defa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Younes, Ahmed</creatorcontrib><creatorcontrib>Marzouk, Mohamed</creatorcontrib><title>Tower cranes layout planning using agent-based simulation considering activity conflicts</title><title>Automation in construction</title><description>The layout planning of tower cranes is a processes which defines the types, the quantities and the positions of tower cranes, has a significant impact on the overall productivity and cost effectiveness of construction projects. Previous research utilized either mathematical methods or visualization tools to find an optimal tower crane layout plan. However, such methods and tools are not adequate to evaluate the effect of conflict among tower cranes, in terms of time and cost calculations. Moreover, they do not assure the maximum efficiency of tower crane layout to fulfill the needs of crane-based executed activities. This paper presents an Agent Based Simulation (ABS) model to overcome the limitations of previous research. The proposed ABS model has the superiority of quantitatively assessing the effect of conflict on the overall time and costs of tower crane operations. It is capable of simulating tower cranes operations and interactions between different agents of the model. Furthermore, it calculates the time and the cost of tower crane's operation cycles, taking into account the potential conflicts among the working tower cranes. In addition, the proposed model is able to compare between several combinations of tower crane layouts to achieve the optimum solution that fulfills the requirements, with respect to the time or the cost. A case study has been provided to demonstrate the capabilities and contributions of the developed ABS model.
•Minimize and evaluate the effect of conflict between tower cranes on time and cost.•Optimize the utilization for multiple tower cranes layout to comply with time schedule.•Simulate tower cranes operations using ABS tool to plan and optimize tower crane location, numbers and types.•Determine combination configuration for a group of tower cranes considering conflicts.•Manage the conflict between the tower cranes and evaluate its effect on the execution of the tower crane operations.</description><subject>Activity conflicts</subject><subject>Agent Based Simulation</subject><subject>Agent-based models</subject><subject>Computer simulation</subject><subject>Construction costs</subject><subject>Cost effectiveness</subject><subject>Cranes</subject><subject>Cranes & hoists</subject><subject>Layout planning</subject><subject>Layouts</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Probability</subject><subject>Tower cranes</subject><subject>Visualization</subject><issn>0926-5805</issn><issn>1872-7891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9UEtLxDAQDqLguvoPPBQ8t07apuleBFl8wYKXFbyFbDJZUrrpmqQr--_NWs_OYQaG7zHzEXJLoaBAm_uukGNUgytKoG0BrIAKzsiMtrzMebug52QGi7LJWQvsklyF0AEAh2YxI5_r4Rt9prx0GLJeHocxZvteOmfdNhvDqcstuphvZECdBbsbexnt4LJkGKxG_wtR0R5sPJ6WprcqhmtyYWQf8OZvzsnH89N6-Zqv3l_elo-rXFVVHXNeNSA1bZFyYwyjUFPDId2_qbjhdbOgaanohhvFmDbYtIzXqGWtNNdoZDUnd5Pu3g9fI4YoumH0LlmKkqYqGQBLqHpCKT-E4NGIvbc76Y-CgjhlKDoxZShOGQpgIt2QaA8TDdMHB4teBGXRKdTWo4pCD_Z_gR8oon48</recordid><startdate>201809</startdate><enddate>201809</enddate><creator>Younes, Ahmed</creator><creator>Marzouk, Mohamed</creator><general>Elsevier B.V</general><general>Elsevier BV</general><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>201809</creationdate><title>Tower cranes layout planning using agent-based simulation considering activity conflicts</title><author>Younes, Ahmed ; Marzouk, Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-7360ad18e17fff51041f70030b37f74691f51c1b7fc55dfe68574eda4cd7defa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Activity conflicts</topic><topic>Agent Based Simulation</topic><topic>Agent-based models</topic><topic>Computer simulation</topic><topic>Construction costs</topic><topic>Cost effectiveness</topic><topic>Cranes</topic><topic>Cranes & hoists</topic><topic>Layout planning</topic><topic>Layouts</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Probability</topic><topic>Tower cranes</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Younes, Ahmed</creatorcontrib><creatorcontrib>Marzouk, Mohamed</creatorcontrib><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>Younes, Ahmed</au><au>Marzouk, Mohamed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tower cranes layout planning using agent-based simulation considering activity conflicts</atitle><jtitle>Automation in construction</jtitle><date>2018-09</date><risdate>2018</risdate><volume>93</volume><spage>348</spage><epage>360</epage><pages>348-360</pages><issn>0926-5805</issn><eissn>1872-7891</eissn><abstract>The layout planning of tower cranes is a processes which defines the types, the quantities and the positions of tower cranes, has a significant impact on the overall productivity and cost effectiveness of construction projects. Previous research utilized either mathematical methods or visualization tools to find an optimal tower crane layout plan. However, such methods and tools are not adequate to evaluate the effect of conflict among tower cranes, in terms of time and cost calculations. Moreover, they do not assure the maximum efficiency of tower crane layout to fulfill the needs of crane-based executed activities. This paper presents an Agent Based Simulation (ABS) model to overcome the limitations of previous research. The proposed ABS model has the superiority of quantitatively assessing the effect of conflict on the overall time and costs of tower crane operations. It is capable of simulating tower cranes operations and interactions between different agents of the model. Furthermore, it calculates the time and the cost of tower crane's operation cycles, taking into account the potential conflicts among the working tower cranes. In addition, the proposed model is able to compare between several combinations of tower crane layouts to achieve the optimum solution that fulfills the requirements, with respect to the time or the cost. A case study has been provided to demonstrate the capabilities and contributions of the developed ABS model.
•Minimize and evaluate the effect of conflict between tower cranes on time and cost.•Optimize the utilization for multiple tower cranes layout to comply with time schedule.•Simulate tower cranes operations using ABS tool to plan and optimize tower crane location, numbers and types.•Determine combination configuration for a group of tower cranes considering conflicts.•Manage the conflict between the tower cranes and evaluate its effect on the execution of the tower crane operations.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.autcon.2018.05.030</doi><tpages>13</tpages></addata></record> |
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subjects | Activity conflicts Agent Based Simulation Agent-based models Computer simulation Construction costs Cost effectiveness Cranes Cranes & hoists Layout planning Layouts Mathematical analysis Mathematical models Optimization Probability Tower cranes Visualization |
title | Tower cranes layout planning using agent-based simulation considering activity conflicts |
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