This paper tackles the problem of scheduling construction projects considering the influence of delay risks. In the actual body of knowledge, several methods have been proposed to handle this problem, starting from the Project Evaluation and Review Technique to advanced simulation models. However, this investigation proposes a novel integration of one methodology with some approaches already existing in the literature related to Monte Carlo Simulation scheduling techniques as seen from the perspective of a practitioner. The research began with a literature review of both schedule risks and Monte Carlo based scheduling models for construction projects. Based on this, the methodology was designed with the constant participation of experts in ...
The objective of this paper is to illustrate the application of construction schedule simulation dur...
Construction project are initiated in complex and dynamic environments resulting in circumtances of...
This paper provides a framework for modelling and quantifying risks associated with time and cost em...
This paper tackles the problem of scheduling construction projects considering the influence of dela...
Although the line-of-balance (LOB) method is widely used for the scheduling of repetitive constructi...
Construction project scheduling and monitoring is challenging in today's very dynamic business envir...
Scheduling plays a very important role for the successful implementation of construction projects. O...
Risk and uncertainty are factors that construction project managers have been increasingly had to de...
The construction industry tumbled along with the other industry/sectors during the recent economic c...
As construction projects become more complex in terms of financing, sourcing, multi-year build sched...
Risks are inherently present In all construction projects. Quite often, construction projects fail ...
The increasing organizational complexity and competitiveness in industry is driving the interest in ...
In this study, Monte Carlo simulation and Bayesian network methods are combined to present a structu...
Risks and uncertainties are inherent in construction projects and if neglected these risks often lea...
The uncertain environment in which construction projects are executed poses a challenge to project m...
The objective of this paper is to illustrate the application of construction schedule simulation dur...
Construction project are initiated in complex and dynamic environments resulting in circumtances of...
This paper provides a framework for modelling and quantifying risks associated with time and cost em...
This paper tackles the problem of scheduling construction projects considering the influence of dela...
Although the line-of-balance (LOB) method is widely used for the scheduling of repetitive constructi...
Construction project scheduling and monitoring is challenging in today's very dynamic business envir...
Scheduling plays a very important role for the successful implementation of construction projects. O...
Risk and uncertainty are factors that construction project managers have been increasingly had to de...
The construction industry tumbled along with the other industry/sectors during the recent economic c...
As construction projects become more complex in terms of financing, sourcing, multi-year build sched...
Risks are inherently present In all construction projects. Quite often, construction projects fail ...
The increasing organizational complexity and competitiveness in industry is driving the interest in ...
In this study, Monte Carlo simulation and Bayesian network methods are combined to present a structu...
Risks and uncertainties are inherent in construction projects and if neglected these risks often lea...
The uncertain environment in which construction projects are executed poses a challenge to project m...
The objective of this paper is to illustrate the application of construction schedule simulation dur...
Construction project are initiated in complex and dynamic environments resulting in circumtances of...
This paper provides a framework for modelling and quantifying risks associated with time and cost em...