Developing labour productivity norms for aluminium system formwork in Sri Lanka

Jayasinghe, Ruchini Senarath; Fernando, Nirodha

doi:10.1108/bepam-09-2015-0049

Cited by 11 publications

(1 citation statement)

References 19 publications

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“…Data were collected by interviewing project managers and obtaining project documents, such as the schedule, the bill of quantities and the daily progress report. The activity crew productivity is calculated for the different combinations of execution modes (Senarath Jayasinghe and Fernando, 2017). Alongside, quality assessment was also carried out to compute the quality parameter.…”

Section: Identification Of Different Activity Execution Modesmentioning

confidence: 99%

Optimizing time, cost and quality in multi-mode resource-constrained project scheduling

Kannimuthu

Raphael

Palaneeswaran³

et al. 2019

BEPAM

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Purpose The purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment. Design/methodology/approach A case study approach identified the activity execution modes in building construction projects in India to support multi-mode resource-constrained project scheduling. The data required to compute time, cost and quality of each activity are compiled from real construction projects. A binary integer-programming model has been developed to perform multi-objective optimization and identify Pareto optimal solutions. The RR-PARETO3 algorithm was used to identify the best compromise trade-off solutions. The effectiveness of the proposed framework is demonstrated through sample case study projects. Findings Results show that good compromise solutions are obtained through multi-objective optimization of time, cost and quality. Research limitations/implications Case study data sets were collected only from eight building construction projects in India. Practical implications It is feasible to adopt multi-objective optimization in practical construction projects using time, cost and quality as the objectives; Pareto surfaces help to quantify relationships among time, cost and quality. It is shown that cost can be reduced by increasing the duration, and quality can be improved only by increasing the cost. Originality/value The use of different activity execution modes compiled from multiple projects in optimization is illustrated, and good compromise solutions for the multi-mode resource-constrained project scheduling problems using multi-objective optimization are identified.

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Section: Identification Of Different Activity Execution Modesmentioning

confidence: 99%