Comparative analysis of operational coefficients' impact on excavation operations

Panas, A; Pantouvakis, JP

dc.contributor.author	Panas, A	en
dc.contributor.author	Pantouvakis, JP	en
dc.date.accessioned	2014-03-01T01:59:40Z
dc.date.available	2014-03-01T01:59:40Z
dc.date.issued	2010	en
dc.identifier.issn	09699988	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29013
dc.subject	Construction operations	en
dc.subject	Productivity rate	en
dc.subject.other	Analyzing process	en
dc.subject.other	Comparative analysis	en
dc.subject.other	Computational approach	en
dc.subject.other	Construction operations	en
dc.subject.other	Design/methodology/approach	en
dc.subject.other	Estimation methodologies	en
dc.subject.other	Historical data	en
dc.subject.other	Operational conditions	en
dc.subject.other	Operational factors	en
dc.subject.other	Operational scenario	en
dc.subject.other	Process-oriented	en
dc.subject.other	Productivity estimation	en
dc.subject.other	Productivity rate	en
dc.subject.other	Research methodologies	en
dc.subject.other	Swing angle	en
dc.subject.other	System productivity	en
dc.subject.other	Truck fleet	en
dc.subject.other	Unit cost	en
dc.subject.other	Construction industry	en
dc.subject.other	Excavation	en
dc.subject.other	Fleet operations	en
dc.subject.other	Mathematical models	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Productivity	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Estimation	en
dc.title	Comparative analysis of operational coefficients' impact on excavation operations	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/09699981011074565	en
heal.identifier.secondary	http://dx.doi.org/10.1108/09699981011074565	en
heal.publicationDate	2010	en
heal.abstract	Purpose-The paper aims to provide a structured framework for comparing different productivity estimation methodologies and evaluate their sensitivity to operational coefficients variation for excavation operations. Design/methodology/approach-Two process-oriented methodologies were analysed in a deterministic fashion in terms of their input requirements and their respective outputs. A phase-oriented framework was presented to enable their comparison. The research methodology allows the estimation of excavation productivity in relation to the selected operational coefficients. Findings-The system productivity is significantly influenced by operational conditions, such as the digging depth and the swing angle from the excavation front to the dumping position. Each methodology presents a differing sensitivity to every operational factor. Since the excavator is considered as the system's leading resource, the variation on productivity has direct implications for the truck fleet size and the unit cost of operations. Originality/value-The proposed approach is useful in analyzing process-oriented productivity estimation methodologies under a given set of operational coefficients when no historical data is available. Thus, it provides an alternative to intuitive estimates based solely on personal judgment. The concept of ""baseline reference"" conditions is introduced, so as to enable the transformation of any operational scenario into equivalent mathematical models that allow comparisons between different estimation methodologies and computational approaches. © 2010 Emerald Group Publishing Limited. All rights reserved.	en
heal.journalName	Engineering, Construction and Architectural Management	en
dc.identifier.doi	10.1108/09699981011074565	en
dc.identifier.volume	17	en
dc.identifier.issue	5	en
dc.identifier.spage	461	en
dc.identifier.epage	475	en