Comparative analysis of operational coefficients' impact on excavation operations

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.