Stochastic resource-constrained scheduling for repetitive construction projects with uncertain supply of resources and funding
In this paper, we schedule construction projects that are repetitively performed by similar resources (labor and equipment) from one location to another when the supply of resources and funding is not only limited but also subject to uncertainty. The supply conditions are hence expressed as probabil...
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| Published in | International journal of project management Vol. 23; no. 7; pp. 546 - 553 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.10.2005
Elsevier Science Ltd |
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| Online Access | Get full text |
| ISSN | 0263-7863 1873-4634 |
| DOI | 10.1016/j.ijproman.2005.03.003 |
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| Abstract | In this paper, we schedule construction projects that are repetitively performed by similar resources (labor and equipment) from one location to another when the supply of resources and funding is not only limited but also subject to uncertainty. The supply conditions are hence expressed as probabilistic distributions in lieu of single estimates. The problem is formulated as a chance-constrained program, which is converted to a deterministic equivalent and solved by means of common linear programming techniques. The proposed chance-constrained programming model is applied to a housing project with 100 units and a real-life tunnel project to illustrate its practical usefulness in determining project acceleration strategies and in conducting risk management analyses. Model verification is performed by Monte Carlo simulations to confirm that the probability of constraint satisfaction is beyond the required confidence level. |
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| AbstractList | In this paper, we schedule construction projects that are repetitively performed by similar resources (labor and equipment) from one location to another when the supply of resources and funding is not only limited but also subject to uncertainty. The supply conditions are hence expressed as probabilistic distributions in lieu of single estimates. The problem is formulated as a chance-constrained program, which is converted to a deterministic equivalent and solved by means of common linear programming techniques. The proposed chance-constrained programming model is applied to a housing project with 100 units and a real-life tunnel project to illustrate its practical usefulness in determining project acceleration strategies and in conducting risk management analyses. Model verification is performed by Monte Carlo simulations to confirm that the probability of constraint satisfaction is beyond the required confidence level. [PUBLICATION ABSTRACT] In this paper, we schedule construction projects that are repetitively performed by similar resources (labor and equipment) from one location to another when the supply of resources and funding is not only limited but also subject to uncertainty. The supply conditions are hence expressed as probabilistic distributions in lieu of single estimates. The problem is formulated as a chance-constrained program, which is converted to a deterministic equivalent and solved by means of common linear programming techniques. The proposed chance-constrained programming model is applied to a housing project with 100 units and a real-life tunnel project to illustrate its practical usefulness in determining project acceleration strategies and in conducting risk management analyses. Model verification is performed by Monte Carlo simulations to confirm that the probability of constraint satisfaction is beyond the required confidence level. |
| Author | Chang, Chi-Yi Yang, I-Tung |
| Author_xml | – sequence: 1 givenname: I-Tung surname: Yang fullname: Yang, I-Tung email: ityang@mail.tku.edu.tw organization: Department of Civil Engineering, Tamkang University, 151 Yingchuan Road, Tamsui, Taipei County 251, Taiwan – sequence: 2 givenname: Chi-Yi surname: Chang fullname: Chang, Chi-Yi email: tavina.chang@msa.hinet.net organization: Department of Construction Engineering, Chaoyang University of Technology, Taiwan |
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| Cites_doi | 10.1061/(ASCE)0733-9364(1983)109:1(102) 10.1016/0305-0548(94)90014-0 10.1016/S0377-2217(98)00204-5 10.1016/0377-2217(93)90231-B 10.1016/0377-2217(90)90116-S 10.1061/(ASCE)0733-9364(1999)125:5(304) 10.1016/S0377-2217(97)00311-1 10.2307/2346887 10.1016/0377-2217(93)90177-O 10.1287/mnsc.44.5.714 10.2307/2347061 10.1287/mnsc.38.12.1803 10.1061/(ASCE)0733-9364(1999)125:6(420) 10.1016/S0377-2217(00)00086-2 10.1287/mnsc.6.1.73 10.1061/(ASCE)0733-9364(1999)125:3(167) 10.1016/S0305-0548(97)00055-5 10.1007/s004770100066 10.1016/S0377-2217(97)00305-6 10.1061/(ASCE)0733-9364(1990)116:2(316) 10.1287/mnsc.13.6.B359 10.1061/(ASCE)0733-9364(1986)112:3(387) 10.1080/01446190310001649065 |
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| SubjectTerms | Chance-constrained programming Construction costs Cost Linear programming Monte Carlo simulation Project management Risk Risk assessment Stochastic models Studies Supply Time |
| Title | Stochastic resource-constrained scheduling for repetitive construction projects with uncertain supply of resources and funding |
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