Abstract
The prediction of construction productivity is an integral part of the planning and cost estimating process. Although different methods are available and some comparisons between different methods can be found in the literature, an analysis of the data required for productivity estimation with the purpose of developing a unified database of productivity efficiency multipliers is rarely addressed. This paper examines the data required for productivity estimation according to Komatsu and Caterpillar performance manuals with the purpose to analyze dependencies between the data, formulate functional dependencies and investigate the hypothesis that a unified database for the two methods can be designed. For the purposes of this paper only excavation has been analyzed but it is argued that the same methodology can be extended to other construction activities also. The process revealed “dark” areas (i.e. not existing data) in the published data (e.g. for swing angles of less than 45° in the prediction of excavation productivity for Komatsu), different values for the same factor (e.g. different fill factors for the same soil) and, even different reliance between factors (e.g. cycle time for excavation).
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References
Park H (2006) Conceptual framework of construction productivity estimation. KSCE J Civil Eng 10(5):311–317
Kotte G (1997) Ermittlung der Nutzförderleistung von Hydraulikbaggern. Tiefbau Ingenieurbau Strassenbau 9:18–28
BML (1983) Handbuch BML: Daten für die Berechnung von Baumaschinen-Leistungen. Zeittechnik Verlag, Neu-Isenburg
Komatsu (2013) Specifications and application handbook, 31st edn. Komatsu, Japan
Caterpillar (2016) Caterpillar performance handbook, 46th edn. Caterpillar Inc, Illinois USA
Peurifoy RL, Schexnayder CJ, Shapira A (2006) Construction planning, equipment, and methods, 7th edn. McGraw-Hill Higher Education, New York
Nunally SW (2007) Construction methods and management. Prentice Hall, Upper Saddle River
Voutzi M (2017) Comparative study of construction equipment productivity. M.Sc. Dissertation, Hellenic Open University
RSMeans (2017) Building construction cost data: 75th annual edition. R. S. Means Company Inc, Kingston
Panas A, Pantouvakis JP (2010) Evaluating research methodology in construction productivity studies. Built Hum Environ Rev 3(1):63–85
Panas Α, Pantouvakis JP (2010) Comparative analysis of operational coefficients’ impact on earthmoving operations. Eng Constr Architect Manage 17(5):461–475
Schexnayder CJ (1997) Analysis of earth-moving systems using discrete-event simulation: discussion. J Constr Eng Manag 123(2):199
Date CJ (2012) Database design and relational theory. O’Reilly Media, Sebastopol, USA
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Pantouvakis, JP. (2018). Data Analysis and Design of Construction Productivity Efficiency Multipliers. In: Şahin, S. (eds) 8th International Conference on Engineering, Project, and Product Management (EPPM 2017). EPPM 2017. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-74123-9_13
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DOI: https://doi.org/10.1007/978-3-319-74123-9_13
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