A methodology for scheduling overlapped design activities based on dependency information

Srour, Issam; Abdul-Malak, Mohamed-Asem; Yassine, Ali A.; Ramadan, M.

doi:10.1016/j.autcon.2012.08.001

Cited by 60 publications

(46 citation statements)

References 36 publications

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“…Khoueiry et al [23] and Srour et al [24] presented overlapping optimization models based on activity dependency information; that is, the evaluation rate of upstream and sensitivity of downstream activities. These research studies also assume that a project has only one chain of activities.…”

Section: Overlapping Time-cost Trade-offmentioning

confidence: 99%

Optimization of overlapping activities in the design phase of construction projects

Dehghan

Hazini

Ruwanpura

2015

Automation in Construction

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Section: Overlapping Time-cost Trade-offmentioning

confidence: 99%

Optimization of overlapping activities in the design phase of construction projects

Dehghan

Hazini

Ruwanpura

2015

Automation in Construction

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“…In the same year, Srour et al [36] used the Dependency Structure Matrix (DSM) to improve the way dependent and interdependent relationships between activities are represented. Their approach had several advantages; for example, the DSM was able to represent (backward) feedback loops between activities.…”

Section: Gwak Et Al (2016) [39]mentioning

confidence: 99%

Modelling the boundaries of project fast-tracking

Ballesteros‐Pérez

2017

Automation in Construction

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Fast-tracking a project involves carrying out sequential activities in parallel, partially overriding their original order of precedence, to reduce the overall project duration. The current predominant mathematical models of fast-tracking are based on the concepts of activity sensitivity, evolution, dependency and, sometimes, information exchange uncertainty, and aim to determine optimum activity overlaps. However, these models require some subjective inputs from the scheduler and most of them neglect the merge event bias.In this paper, a stochastic model for schedule fast-tracking is proposed. Relevant findings highlight the existence of a pseudo-physical barrier that suggests that the possibility of shortening a schedule by more than a quarter of its original duration is highly unlikely. The explicit non-linear relationship between cost and overlap has also been quantified for the first time. Finally, manual calculations using the new model are compared with results from a Genetic Algorithm through a case study.

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“…Overlapping of sequential activities occurs on most construction projects (Srour et al, 2013), which requires a two-way exchange of information among dependent design disciplines (Wang et al, 2006). The conventional tool for scheduling is the PERT/ CPM, however, the PERT/CPM is not an appropriate tool for analyzing a project with overlapping because it is unable to model information flow Lin 2009, Węglarz et al 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Srour et al (2013) presented a methodology for scheduling the design phase of fast-tracked construction projects taking into consideration information exchange among project activities. The DSM was used to generate the shortest schedule by adapting the method proposed by Maheswari and Varghese (2005).…”

Section: Introductionmentioning

confidence: 99%

“…The complexity is simplified by breaking down the project into smaller tasks, identifying the relationship between them, assessing their impact on the project, and assigning resources to individual tasks (Browning 2001). DSM has been applied to a large number of systems (Pektaş and Pultar, 2006;Cronemyr et al 2001;Smith and Morrow 1999), including construction projects (Srour et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Project Duration Uncertainty using the Dependency Structure Matrix and Monte Carlo Simulations

Gálvez

Ordieres²,

Capuz-Rizo

2015

Revista de la Construcción

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The sequence of tasks is vital to the development of any project. The order of tasks is influenced by the information flow among them. The dependency structure matrix (DSM) can be used to model information flow. However, the information used by the DSM, including task duration, time required for communication, and task overlap, can have uncertain values. The aim of this paper is to analyze the effect of uncertainty on the scheduling of tasks using the DSM. Monte Carlo Simulation is applied to represent uncertainty in time estimates for projects using DSM. Conventional project duration, normal project duration with communication times, and normal project duration containing natural overlapping were considered for project time estimations. Several distribution functions were used to represent the uncertainty. It is concluded that project duration has normal distribution behavior that is independent of the type of input parameter distribution functions; that mean values of the input parameters give a good estimation of mean project duration; that interval and inner interval arithmetic give overestimation and underestimation of project duration times respectively.Keywords: DSM, Project Duration, Managing Project, Monte Carlo Simulation, Interval Arithmetic. ResumenLa secuencia de actividades es vital para el desarrollo de cualquier proyecto. El orden de las actividades está influenciado por el flujo de información entre ellas. La matriz de la estructura de dependencias (DSM) se puede utilizar para modelar el flujo de información. Sin embargo, la información utilizada por la DSM puede tener valores inciertos. El objetivo de este trabajo es analizar el efecto de la incertidumbre sobre la programación de actividades utilizando la DSM. La simulación de Monte Carlo se aplica para representar la incertidumbre en las estimaciones de tiempo para proyectos que utilizan DSM. Para las estimaciones de duración de proyecto se consideraron la duración convencional del proyecto, la duración normal de proyecto con tiempos de comunicación, y la duración normal de proyecto con superposición natural. Las incertidumbres se representaron con varias funciones de distribución. Se concluye que la duración de proyecto presenta distribución normal que es independiente del tipo de funciones de distribución de los parámetros de entrada; valores medios de los parámetros de entrada dan una buena estimación de la duración media del proyecto; las aritméticas de intervalo e intervalos interior dan una sobreestimación y subestimación de los tiempos de duración de proyecto respectivamente.

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A methodology for scheduling overlapped design activities based on dependency information

Cited by 60 publications

References 36 publications

Optimization of overlapping activities in the design phase of construction projects

Optimization of overlapping activities in the design phase of construction projects

Modelling the boundaries of project fast-tracking

Evaluation of Project Duration Uncertainty using the Dependency Structure Matrix and Monte Carlo Simulations

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