Optimal Planning and Scheduling for Repetitive Construction Projects

Hyari, Khalied; El‐Rayes, Khaled

doi:10.1061/(asce)0742-597x(2006)22:1(11)

Cited by 136 publications

(78 citation statements)

References 12 publications

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“…Leu and Hwang [12] addressed a GA-based resource-constrained linear scheduling model. Hyari and El-Rayes [13] constructed a multiobjective optimization model that includes genetic algorithms for planning and scheduling repetitive construction projects, and helps planners in evaluating optimum construction plans by minimizing project duration and maximizing work continuity, simultaneously.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The bridge example originally introduced by El-Rayes and Moselhi [3] is adopted to validate the proposed model, and Hyari and El-Rayes [13] also employed the example to consider the balance between minimizing project duration and maintaining crew work continuity. To maintain work continuity, total interruption time (the summary of all queuing times between two activities of the same type) is introduced as a variable.…”

Section: Model Validationmentioning

confidence: 99%

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Optimization model for resource assignment problems of linear construction projects

Liu

Wang

2007

Automation in Construction

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Section: Literature Reviewmentioning

confidence: 99%

Section: Model Validationmentioning

confidence: 99%

Optimization model for resource assignment problems of linear construction projects

Liu

Wang

2007

Automation in Construction

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“…If these resources (labour and equipment) are not properly allocated among all activities, the continuity of work will get affected. Hence the deployment of resources is significant [7]. By planning the resources with continuous deployment, idleness can be reduced and resource utilization can be maximized.…”

Section: Repetitive Projectsmentioning

confidence: 99%

Development of Resource-Driven Scheduling Model for Mass Housing Construction Projects

Devi¹

2015

IJET

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Abstract-Resource continuity is a key issue for Mass housing construction projects which are highly repetitive in nature. Resources are therefore being deployed repeatedly for the similar or identical tasks. In order to eradicate delays in mobilizing resources from one location to other, an efficient resource schedule is required. Traditional scheduling tools like CPM, PERTare less effective in scheduling repetitive construction projects, as they consider resources as unlimited. Nevertheless, almost all the repetitive scheduling methods developed so far have been giving focus on continuous repetitive projects, whereas in this paper, the emphasis is on discrete (non-linear) repetitive projects. As a solution approach, a Resource Driven Scheduling Model (RDSM) is developed as a management supporting tool for selection of appropriate resource options for deployment and schedules the activities appropriately. The objective of the research is to find and validate a repetitive construction schedule which minimizes the project duration and/or project cost, and maximizes resource utilization while satisfying the resource constraints and to sequence the activities with appropriate resource assignment. A case study is delineated to validate the RDSM and to demonstrate its various capabilities like generating the resource driven schedule and sequencing the activities as per the resource availability.

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Section: Continuous Resource Deploymentmentioning

confidence: 99%

A Model for Automated Generation of Resource-Driven Construction Schedule for Housing Industry

Devi

Ananthanarayanan

2007

Automation and Robotics in Construction &Amp;#8213; Proceedings of the 24th International Symposium on Automation and Robotics

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The efficacy of managing a construction project mainly depends on proper planning and scheduling. Mass housing projects are highly repetitive in nature, as the methods used for construction are often repetitive or cyclic. Resources are therefore being deployed repeatedly for the similar or identical tasks in these projects. In order to eradicate delays in mobilizing resources, an efficient resource schedule is required. Traditional scheduling tools like Critical Path Method (CPM), Programme Evaluation and Review Technique (PERT) are less effective in scheduling repetitive construction projects, as they consider availability of resources are unlimited. The main challenge in preparing construction schedule for repetitive projects is synchronizing the precedence logic and the allocation of resources as per requirements for all the activities. Consequently, activity scheduling and resource planning are prepared in parallel and this will facilitate in eliminating delays and idle resources across the projects thereby, controls the chain-reaction management (ripple effects). Nevertheless, almost all the repetitive scheduling methods developed so far have been giving focus on continuous repetitive projects, whereas in the present study, the emphasis is on discrete (non-linear) repetitive projects. This paper presents a model that uses genetic algorithms to optimally assign resources to repetitive activities, which aimed to minimize the total project cost & duration, idle cost & time and to maximize resource utilization. In the present study, an attempt is made to generate a resource-driven construction schedule automatically, with which resources can optimally be allocated to the activities. This schedule can be very useful in improving productivity and saving construction time and cost and also in decision-making. In addition, a case study is delineated to check the efficiency and effectiveness of the resource-driven construction schedule which is automated.

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Optimal Planning and Scheduling for Repetitive Construction Projects

Cited by 136 publications

References 12 publications

Optimization model for resource assignment problems of linear construction projects

Optimization model for resource assignment problems of linear construction projects

Development of Resource-Driven Scheduling Model for Mass Housing Construction Projects

A Model for Automated Generation of Resource-Driven Construction Schedule for Housing Industry

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