Abstract
Numerous Time-Cost Trade-Off (TCTO) models have been developed to identify the best combination of time and cost in a critical path network. Although there are four relationships in the critical path network, most of the models developed so far have considered only the Finish-Start (F-S) relationship. Thus, an advanced TCTO model that considers all four relationships between activities was developed in this study to accurately present a project, and is presented in this paper. The model also takes into account the lag time between activities. Previous TCTO models minimize the total project cost based on the given crash scenario. Moreover, to enhance the practicality, the model was developed to work with various TCTO scenarios such as continuous, discrete, and even mixed (continuous + discrete). The combined scenario reflects the most realistic situation. Two independent scenarios cannot be combined without mathematical modifications since a rudimentary mixing of two scenarios may provide an incorrect solution. A new formulation technique is introduced to merge the two independent scenarios mathematically and it guarantees the optimal solution.
| Original language | English |
|---|---|
| Pages (from-to) | 281-291 |
| Number of pages | 11 |
| Journal | KSCE Journal of Civil Engineering |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2013 Apr 3 |
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All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
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A mixed (continuous + discrete) time-cost trade-off model considering four different relationships with lag time. / Son, Jaeho; Hong, Taehoon; Lee, Sangyoub.
In: KSCE Journal of Civil Engineering, Vol. 17, No. 2, 03.04.2013, p. 281-291.Research output: Contribution to journal › Article
TY - JOUR
T1 - A mixed (continuous + discrete) time-cost trade-off model considering four different relationships with lag time
AU - Son, Jaeho
AU - Hong, Taehoon
AU - Lee, Sangyoub
PY - 2013/4/3
Y1 - 2013/4/3
N2 - Numerous Time-Cost Trade-Off (TCTO) models have been developed to identify the best combination of time and cost in a critical path network. Although there are four relationships in the critical path network, most of the models developed so far have considered only the Finish-Start (F-S) relationship. Thus, an advanced TCTO model that considers all four relationships between activities was developed in this study to accurately present a project, and is presented in this paper. The model also takes into account the lag time between activities. Previous TCTO models minimize the total project cost based on the given crash scenario. Moreover, to enhance the practicality, the model was developed to work with various TCTO scenarios such as continuous, discrete, and even mixed (continuous + discrete). The combined scenario reflects the most realistic situation. Two independent scenarios cannot be combined without mathematical modifications since a rudimentary mixing of two scenarios may provide an incorrect solution. A new formulation technique is introduced to merge the two independent scenarios mathematically and it guarantees the optimal solution.
AB - Numerous Time-Cost Trade-Off (TCTO) models have been developed to identify the best combination of time and cost in a critical path network. Although there are four relationships in the critical path network, most of the models developed so far have considered only the Finish-Start (F-S) relationship. Thus, an advanced TCTO model that considers all four relationships between activities was developed in this study to accurately present a project, and is presented in this paper. The model also takes into account the lag time between activities. Previous TCTO models minimize the total project cost based on the given crash scenario. Moreover, to enhance the practicality, the model was developed to work with various TCTO scenarios such as continuous, discrete, and even mixed (continuous + discrete). The combined scenario reflects the most realistic situation. Two independent scenarios cannot be combined without mathematical modifications since a rudimentary mixing of two scenarios may provide an incorrect solution. A new formulation technique is introduced to merge the two independent scenarios mathematically and it guarantees the optimal solution.
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UR - http://www.scopus.com/inward/citedby.url?scp=84875485676&partnerID=8YFLogxK
U2 - 10.1007/s12205-013-1506-3
DO - 10.1007/s12205-013-1506-3
M3 - Article
AN - SCOPUS:84875485676
VL - 17
SP - 281
EP - 291
JO - KSCE Journal of Civil Engineering
JF - KSCE Journal of Civil Engineering
SN - 1226-7988
IS - 2
ER -