A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modeling Linear Schedules under Uncertain Scope of Work Conditions with Singularity Functions
Construction projects face uncertainty in terms of scope of work during their execution. This uncertainty can lead to changes in the amount of work, and ultimately result in delays. This paper presents a mathematical model based on singularity functions that improves the Linear Scheduling Method (LSM) by accounting for scope of work uncertainty. The contribution of this model is twofold: first, it allows for an explicit representation of scope of work uncertainty in the LSM’s mathematical equations; and second, it evaluates and visualizes the effects of this uncertainty on the schedule. The model can assist decision makers in making rational decisions for the planning and control of projects under uncertain scope of work conditions.
Modeling Linear Schedules under Uncertain Scope of Work Conditions with Singularity Functions
Construction projects face uncertainty in terms of scope of work during their execution. This uncertainty can lead to changes in the amount of work, and ultimately result in delays. This paper presents a mathematical model based on singularity functions that improves the Linear Scheduling Method (LSM) by accounting for scope of work uncertainty. The contribution of this model is twofold: first, it allows for an explicit representation of scope of work uncertainty in the LSM’s mathematical equations; and second, it evaluates and visualizes the effects of this uncertainty on the schedule. The model can assist decision makers in making rational decisions for the planning and control of projects under uncertain scope of work conditions.
Modeling Linear Schedules under Uncertain Scope of Work Conditions with Singularity Functions
Su, Yi (author) / Lucko, Gunnar (author) / Isaac, Shabtai (author)
International Conference on Construction and Real Estate Management 2021 ; 2021 ; Beijing, China
ICCREM 2021 ; 30-40
2021-12-09
Conference paper
Electronic Resource
English
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