Building and construction industries supply chain project (domestic) : report for Commonwealth Department of Industry, Science and Resources

The Commonwealth Department of Industry, Science and Resources is identifying best practice case study examples of supply chain management within the building and construction industry to illustrate the concepts, innovations and initiatives that are at work. The projects provide individual enterprises with examples of how to improve their performance, and the competitiveness of the industry as a whole.

Offsetting greenhouse gas emissions through biological carbon sequestration in North Eastern Australia

The Kyoto Protocol recognises trees as a sink of carbon and a valid means to offset greenhouse gas emissions and meet internationally agreed emissions targets. This study details biological carbon sequestration rates for common plantation species Araucaria cunninghamii (hoop pine), Eucalyptus cloeziana, Eucalyptus argophloia, Pinus elliottii and Pinus caribaea var hondurensis and individual land areas required in north-eastern Australia to offset greenhouse gas emissions of 1000tCO 2e. The 3PG simulation model was used to predict above and below-ground estimates of biomass carbon for a range of soil productivity conditions for six representative locations in agricultural regions of north-eastern Australia. The total area required to offset 1000tCO 2e ranges from 1ha of E. cloeziana under high productivity conditions in coastal North Queensland to 45ha of hoop pine in low productivity conditions of inland Central Queensland. These areas must remain planted for a minimum of 30years to meet the offset of 1000tCO 2e.

Development of a data mining-based analysis framework for multi-attribute construction project information

Data mining techniques extract repeated and useful patterns from a large data set that in turn are utilized to predict the outcome of future events. The main purpose of the research presented in this paper is to investigate data mining strategies and develop an efficient framework for multi-attribute project information analysis to predict the performance of construction projects. The research team first reviewed existing data mining algorithms, applied them to systematically analyze a large project data set collected by the survey, and finally proposed a data-mining-based decision support framework for project performance prediction. To evaluate the potential of the framework, a case study was conducted using data collected from 139 capital projects and analyzed the relationship between use of information technology and project cost performance. The study results showed that the proposed framework has potential to promote fast, easy to use, interpretable, and accurate project data analysis.

Explorations into the Sociology of Criminal Justice and Punishment. Leaving the Modernist Project Behind

Law has been a close partner to sociology from its very beginning, and the partnership often has proven to be extremely prolific for sociology. Grand theories as well as vital conceptual tools can be counted among its offspring. Both disciplines share the common ground of socio-legal studies, which has developed into a nearly independent interdisciplinary enterprise where legal scholars and sociologists happily meander between the normative and the analytical. From the vast array of topics in the field of socio-legal studies I select the sociology of criminal justice and punishment in order to demonstrate the characteristics of this relationship. The partnership between sociology and law emerged as part of the modernization project in the 19th and 20th centuries, and the sociology of punishment was part of this endeavour. Rooted in a strong tradition of old (Durkheim) and new (Elias, Foucault) classics, recent developments in this field are leaving the idea of an `unproblematically modern punishment' (Whitman, 2005a) behind, and new fields of inquiry for comparative lawyers and sociologists are opening up.