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Float analysis of non‐serial repetitive activities

Authors: Mohammad A. Ammar;

Float analysis of non‐serial repetitive activities

Abstract

Floats and critical path(s) are important issues in construction management practice. In critical path method, activities not on the critical path(s) must have float. Float measures the amount of time an activity can be delayed before it becomes critical. Consecutive repetitive activities have production rates, which may vary considerably from one activity to another. This creates a different situation (from traditional non‐repetitive activities) such that repetitive activities may have rate float, in addition to time float. In this paper, a proposed model for determining different types of floats for non‐serial repetitive activities is developed. The traditional concept of time float is extended to repetitive activities. Rate float, which is an inherent property of repetitive activities, is also determined. Float analysis is performed in a very similar way to Critical Path Method (CPM) analysis, without the need for graphical aids. The analysis is based on a repetitive scheduling method, which utilizes a...

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Average
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