Using Purchasing Power Parity to Assess Construction Productivity

Best, Rick

doi:10.5130/ajceb.v10i4.1675

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…When the worst-case scenario occurs, skip the blame game and point at the risk strategies of the developers. Such form of qualified property insurance and all the principals involved shall protect the policy (Dai et al 2009;Best 2010;Panas and Pantouvakis 2015;Sezer 2015).…”

Section: The Blame Gamementioning

confidence: 99%

Study of factors affecting the performance of construction projects in AEC industry

Dixit¹

2020

Organization, Technology and Management in Construction: An International Journal

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A construction project is like a living entity and requires the interconnection and coordination of several stakeholders and many of them have their objectives, which sometimes create a conflict of interest between the teams and within the teams. The success of any project is repeatable, and a set of attributes for the success of a construction project can be identified, requiring discipline and hard work. The construction sector is the engine of growth for a nation and supplies services and goods to other industries. The objective of the study is to analyse the enabling factors affecting the performance construction projects in Architecture Engineering and Construction industry. The methodology chosen for the study is to collect primary data from the Indian construction industry using structured questionnaire surveys. The collected data are analysed using reliability and factor analyses. The findings of the study provide the value of reliability, that is, Cronbach's alpha value of (0.86) of the data collected using a questionnaire survey. Furthermore, exploratory factor analysis produced five main significant factors based on covariance between the attributes and grouped into factors such as site management and coordination, leadership and financial management, planning, commitment, and coordination having a variance of 17.65, 11.8, 9.1, 8.5, and 7.5%, respectively. This article is the extended version of the paper accepted and presented at CCC2019.

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Section: The Blame Gamementioning

confidence: 99%

Study of factors affecting the performance of construction projects in AEC industry

Dixit¹

2020

Organization, Technology and Management in Construction: An International Journal

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“…Yi and Chan (2013) make the point that studies focusing on construction productivity are relatively scarce and lack attention to productivity metrics. Productivity research typically falls into two categories: productivity derived from the price paid for construction (Best, 2010) vs the labour, plant and equipment resources employed to construct a building (Thomas and Zavrski, 1999). These approaches are employed at both the macro and micro levels and are case specific (Edkins and Winch, 1999).…”

Section: Principles Surrounding Construction Productivity Measurementmentioning

confidence: 99%

Measuring installation productivity in prefabricated timber construction

Forsythe

Sepasgozar

2019

ECAM

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Purpose A problematic issue for new approaches to prefabricated timber construction is simply that there is insufficient productivity measurement data to assist estimation of resource usage, speed onsite and best practice. A lack of information potentially results in increased pricing behaviour which may slow the uptake of prefabricated construction. The purpose of this paper is to measure installation productivity onsite for prefabricated timber floor cassette panels and develop sufficient understanding of the process to suggest improved practices. Design/methodology/approach A time and motion approach, paired with time-lapse photography was used for detailed capture of prefabricated cassette flooring installation processes onsite. An emphasis was placed on work flow around crane cycles from three case study projects. Time and date stamping from 300 crane cycles was used to generate quantitative data and enable statistical analysis. Findings The authors show that crane cycle speed is correlated to productivity including gross and net crane time scenarios. The latter is refined further to differentiate uncontrolled outlying crane cycles from normally distributed data, representing a controlled work process. The results show that the installation productivity rates are between 69.38 and 123.49 m2/crane-hour, based on normally distributed crane cycle times. These rates were 10.8–26.1 per cent higher than the data set inclusive of outlier cycles. Large cassettes also proved to be more productive to place than small. Originality/value The contribution of this research is the focus on cranage as the lead resource and the key unit of measure driving installation productivity (in cassette flooring prefabricated construction), as distinct from past research that focuses on labour and craft-based studies. It provides a different perspective around mechanisation, for resourcing and planning of work flow. Crane cycles provide a relatively easy yet reliably repeatable means for predicting productivity. The time-lapse photographic analysis offers a high degree of detail, accuracy and objectivity not apparent in other productivity studies which serves to enable quantitative benchmarking with other projects.

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“…Construction industry experienced a downward trend in the productivity growth [9] [13] [10] [11] The study pertaining to causes of time, cost overruns and low productivity in construction projects have been conducted worldwide The productivity of UK's construction sector is declining and it is lower than as compared to few European countries [17] [22] Construction productivity has been affected by a number of factors, which tend to losses of revenues, delay in completion, poor quality and other issues in construction projects [7] The decline in productivity is one of the dangers to the economy, because it creates social conflict, and creates inflationary pressure [19] [25] The authors concluded that the growth in construction productivity is negative [24][6]…”

Section: Impacts Referencesmentioning

confidence: 99%

Construction productivity and construction project performance in Indian construction projects

Dixit¹,

Mandal²,

Thanikal³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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In order to ensure the performance of a project, it should be defined in terms of some measurable key parameters. Past researchers have identified project performance parameters such as cost, safety, construction productivity, and quality. Amongst all of them, construction productivity is one of the most reliable parameters of project performance. Performance can be measured at various levels including sector, organization, activity and project level in projectbased organizations. The methodology adopted to conduct the study is to collect the data through a structured questionnaire survey using convenient sampling technique. The number of variables selected from the literature for the study is 26 and the targeted data collection for the study is 125.The collected data has been analyzed using relative importance index (RII) to priorities the variables on the basis of their relative importance. The findings of the study concludes that the most significant 3 attributes impacting CPP are projected coordination meetings, coordination between all stakeholders, and top management support to PM having a relative value of 0.84, 0.82, and 0.69 respectively. SPSS 21 software tool has been used to check the reliability of the data and to perform factor analysis and the factors are pre-construction management, financial management, socio-economic management, coordination and communication management, resource management, commercial management, site management, and rework explains a variance of 14%, 10. 3%, 9.1%, 7.1%, 6.3%, 6%, 5%,and 4.3% respectively.

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Using Purchasing Power Parity to Assess Construction Productivity

Cited by 9 publications

References 9 publications

Study of factors affecting the performance of construction projects in AEC industry

Study of factors affecting the performance of construction projects in AEC industry

Measuring installation productivity in prefabricated timber construction

Construction productivity and construction project performance in Indian construction projects

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