Front-End Planning for Large and Small Infrastructure Projects: Comparison of Project Definition Rating Index Tools

ElZomor, Mohamed; Burke, Rebekah; Parrish, Kristen; Gibson, G. Edward

doi:10.1061/(asce)me.1943-5479.0000611

Cited by 45 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A number of different factors need to be taken into account when developing construction projects schedules, including weather [71,72] and macroeconomic factors/conditions (external factors are unpredictable and cannot be controlled) [73]. Bragadin and Kähkönen [74] emphasise the importance of a quality schedule and attribute to it an important role in reducing delays in project implementation and achieving agreed outcomes and benefits (deliverables) [75]. A high-quality schedule is interpreted by the above authors as an optimal and feasible plan of activities.…”

Section: Correlated Schedule Risk Analysis Model (Csram)mentioning

confidence: 99%

Project Risk in the Context of Construction Schedules—Combined Monte Carlo Simulation and Time at Risk (TaR) Approach: Insights from the Fort Bema Housing Estate Complex

Sobieraj

Metelski

2022

Applied Sciences

View full text Add to dashboard Cite

In this article, we present our own construction process model consisting of 16 stages and eight phases, which is particularly applicable to large investment projects. In the context of each project phase, we examine how the appropriate way of scheduling construction processes affects the problem of the risk of prolonging individual phases and the whole project, as well as of not meeting deadlines (which is one of the main problems faced by management practitioners in the construction industry). There are many methods for assessing risk in this context, but they tend to be overly complex and rarely used by construction practitioners. On the other hand, the risks associated with potential schedule delays can be considered holistically. One tool that can serve this purpose is the combined Monte Carlo simulation and Time-at-Risk (TaR) approach, which originates from the world of finance. We show how the implementation of the process model (individual phases) and the whole project can be considered in the context of the covariance matrix between all its phases and how changes in the arrangement of these phases can affect the risk of time extension of the whole project. Our study is based on simulation data for a large development project (Fort Bema/Parkowo-Leśne housing estate complex) in Bemowo, a district of Warsaw, carried out between 1999 and 2012. The entire investment project involved the construction of almost 120,000 m2 of floor space.

show abstract

Section: Correlated Schedule Risk Analysis Model (Csram)mentioning

confidence: 99%

Project Risk in the Context of Construction Schedules—Combined Monte Carlo Simulation and Time at Risk (TaR) Approach: Insights from the Fort Bema Housing Estate Complex

Sobieraj

Metelski

2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Research also points out that it's the main factor behind the notable underperformance in projects in delivering their objectives be it in delayed, overpriced or poor quality project delivery (Elzomor et al, 2018). Authors argue that an ill-defined FED is simply a recipe for chaotic processes downstream (Fuentes andSmyth, 2016, Austin et al, 2001).…”

Section: 1front End Designmentioning

confidence: 99%

Value Generation in Front-End Design of Social Housing with QFD and Multiattribute Utility Theory

Serugga

Kagioglou

Tzortzopoulos³

2020

J. Constr. Eng. Manage.

View full text Add to dashboard Cite

The design of social housing is a multi-faceted endeavour like in many social projects such as megaprojects whose expected benefits reach beyond a handful of stakeholders. Understanding the requirements of such projects can be a painstaking endeavour and without a structured process to guide decision making, such projects often fail to deliver on their intended benefits. This paper examines how the use of Utility Theory and Quality function deployment (QFD) can serve as a useful basis to support the delivery of such benefits. The research examines a social housing project in Brazil to draw focus on contextual influences on understanding, structuring and delivery of benefits. The approach adopts QFD for requirements management while Utility Theory (UT) assesses utility decision making in raking the housing models on the basis established user requirements and derived design requirements (DRs). While a medium low-income model is preferred best, the next preferred models are very-low, medium-low, medium-high in the order. The analysis indicates no transitivity in preference from an end-user perspective. The novelty of the paper is representing, quantitatively, a process of requirements management that supports the delivery of project benefits on a Utilitarian basis in social housing design. The method is able to account for interdependencies between design and user attributes in supporting social housing design decision making in an integrated process. This understanding can be key to the delivery of the right social projects that reflect context-specific end-2 user needs.

show abstract

“…External factors including weather [12,13] and macroeconomic conditions [14] being unpredictable and uncontrollable. Whereas addressing internal factors, and in particular schedule quality [15], can significantly reduce the chance of late delivery [16]. A quality schedule uses expected outputs, resource and space constraints, and technical expertise to determine an optimal and achievable schedule of activities.…”

Section: Schedule Qualitymentioning

confidence: 99%

Improving Construction Project Schedules before Execution

Fitzsimmons¹,

Hong²,

Brilakis³

2020

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

View full text Add to dashboard Cite

The construction industry has been forever blighted by delay and disruption. To address this problem, this study proposes the Fitzsimmons Method (FM method) to improve the scheduling performance of activities on the Critical Path before the project execution. The proposed FM method integrates Bayesian Networks to estimate the conditional probability of activity delay given its predecessor and Support Vector Machines to estimate the time delay. The FM method was trained on 302 completed infrastructure construction projects and validated on a £40 million completed road construction project. Compared with traditional Monte Carlo Simulation results, the proposed FM method is 52% more accurate in predicting the projects' time delay. The proposed FM method contributes to leveraging the vast quantities of data available to improve the estimation of time risk on infrastructure and construction projects.

show abstract

Front-End Planning for Large and Small Infrastructure Projects: Comparison of Project Definition Rating Index Tools

Cited by 45 publications

References 19 publications

Project Risk in the Context of Construction Schedules—Combined Monte Carlo Simulation and Time at Risk (TaR) Approach: Insights from the Fort Bema Housing Estate Complex

Project Risk in the Context of Construction Schedules—Combined Monte Carlo Simulation and Time at Risk (TaR) Approach: Insights from the Fort Bema Housing Estate Complex

Value Generation in Front-End Design of Social Housing with QFD and Multiattribute Utility Theory

Improving Construction Project Schedules before Execution

Contact Info

Product

Resources

About