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Letteratura scientifica selezionata sul tema "Construction industry Australia Forecasting"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 4 febbraio 2022

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Articoli di riviste sul tema "Construction industry Australia Forecasting"

1

Fedorova, E. A., e S. E. Dovzhenko. "THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE". Effective crisis management, n. 6 (20 gennaio 2015): 94. http://dx.doi.org/10.17747/2078-8886-2014-6-94-99.

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2

Rahmani, Farshid, Tayyab Maqsood e Malik Khalfan. "An overview of construction procurement methods in Australia". Engineering, Construction and Architectural Management 24, n. 4 (17 luglio 2017): 593–609. http://dx.doi.org/10.1108/ecam-03-2016-0058.

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Purpose The purpose of this paper is to review the use of various construction procurement systems in the past and present, specifically within the Australian construction industry and to overview the historical development of procurement both globally and in the Australian context through the existing literature. Design/methodology/approach The paper is an in-depth literature review of various construction procurement systems used in the past and present, both in general and within the context of Australian construction industry. Findings The findings suggest that even though relationship-based procurement (RBP) systems offer significant benefits to all project participants, they are unproved by many decision makers because of lack of robust theoretical concept and inability in demonstrating value for money (VfM) for public projects, which would be one of the factors causing move away from RBP in the future. Originality/value This review is one of its kind. There is no such review done before within the context of Australian construction industry in such a detail. This review is a part of a recently completed PhD study.

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3

Doroshenko, Anna. "Applying Artificial Neural Networks In Construction". E3S Web of Conferences 143 (2020): 01029. http://dx.doi.org/10.1051/e3sconf/202014301029.

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Currently, artificial neural networks (ANN) are used to solve the following complex problems: pattern recognition, speech recognition, complex forecasts and others. The main applications of ANN are decision making, pattern recognition, optimization, forecasting, data analysis. This paper presents an overview of applications of ANN in construction industry, including energy efficiency and energy consumption, structural analysis, construction materials, smart city and BIM technologies, structural design and optimization, application forecasting, construction engineering and soil mechanics.

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4

Jaber, Firas, Faiq Al-Zwainy e Nidal Jasim. "Forecasting techniques in construction industry: earned value indicators and performance models". Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 29, n. 2 (6 luglio 2020): 234–43. http://dx.doi.org/10.22630/pniks.2020.29.2.20.

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Machine Learning Regression Techniques (MLRT) as a shrewd method can be utilized in this study being exceptionally fruitful in demonstrating non-linear and the interrelationships among them in problems of construction projects such as the earned value indexes for tall buildings projects in Republic of Iraq. Three forecasting models were developed to foresee Schedule Performance Index (SPI) as first model, Cost Performance Index (CPI) as a second model, and the third model is To Complete Cost Performance Indicator (TCPI) in Bismayah New City was chosen as a case study. The methodology is mainly impacted by the deciding various components (variables) which impact on the earned value analysis, six free factors (X1: BAC, Budget at Completion; X2: AC, Actual Cost; X3: A%, Actual Percentage; X4: EV, Earned Value; X5: P%, Planning Percentage, and X6: PV, Planning Value) were self-assertively assigned and agreeably depicted for per tall buildings projects. It was found that the MLRT showed good results of estimation in terms of correlation coeffi cient (R) generated by MLR models for SPI and CPI and TCPI where the R were 85.5%, 89.2%, and 86.3% respectively. At long last, a result tends to be presumed that these models show a brilliant concurrence with the genuine estimations.

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Kim, Jihye, Haekyung Im e Jaehyun Choi. "Forecasting the Effects of the Claims in the Korean Construction Industry". Korean Journal of Construction Engineering and Management 17, n. 5 (30 settembre 2016): 35–44. http://dx.doi.org/10.6106/kjcem.2016.17.5.035.

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6

Sing, Chun-Pong, Peter E. D. Love e Chi-Ming Tam. "Forecasting the Demand and Supply of Technicians in the Construction Industry". Journal of Management in Engineering 30, n. 3 (maggio 2014): 04014006. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000227.

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7

Allan, Cameron, Andrew Dungan e David Peetz. "‘Anomalies’, Damned ‘Anomalies’ and Statistics: Construction Industry Productivity in Australia". Journal of Industrial Relations 52, n. 1 (febbraio 2010): 61–79. http://dx.doi.org/10.1177/0022185609353985.

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8

Hashaeva, O. S. "STATE REGULATION OF THE CONSTRUCTION INDUSTRY". Scientific bulletin of the Southern Institute of Management, n. 1 (30 marzo 2017): 70–74. http://dx.doi.org/10.31775/2305-3100-2017-1-70-74.

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Condition of the building complex has an impact on the ability to work all areas of the economy and life processes of reproduction. Currently, construction management in the Russian Federation is considered as self-regulatory control system in this activity with obligatory direct impact of this activity on the part of government. State intervention in the regulation of construction activities necessary to combine state (public) and private interests, with a view to the development of large proportions (ratios) in the economy between consumption, saving and investment on the basis of forecasting, strategic planning, budget financing, taxation and other measures of state influence on investment markets, contracting, real estate The article discusses the role and value of bodies of state regulation of the construction industry, as well as their basic control and monitoring functions. The most important role in the implementation of state influence on the construction industry assigned to the federal bodies of executive power at the regional level identified sectoral authorities and the public sphere of regulation of construction and housing and communal services, at the municipal level describes the functions of the administrative-territorial units in the field. The article also identifies key federal agencies with the greatest impact on the construction industry.

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Mills, Anthony, David Harris e Martin Skitmore. "The accuracy of housing forecasting in Australia". Engineering, Construction and Architectural Management 10, n. 4 (agosto 2003): 245–53. http://dx.doi.org/10.1108/09699980310489951.

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Coggins, Jeremy, Bianca Teng e Raufdeen Rameezdeen. "Construction insolvency in Australia: reining in the beast". Construction Economics and Building 16, n. 3 (8 settembre 2016): 38–56. http://dx.doi.org/10.5130/ajceb.v16i3.5113.

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Insolvency has become endemic in the Australian construction industry. The scale of the problem has reached such proportions that both the NSW Parliament and the Senate have, in recent times, commissioned inquiries into construction insolvency. This paper aims to identify the reasons as to why the construction industry is so susceptible to insolvency, evaluate the effectiveness of any existing insolvency protection measures available to construction firms, and to identify proposed future measures to address the factors causing construction insolvency. The results of a questionnaire survey designed to discover the extent of the construction insolvency problem, as well as building contractors’ views with respect to the causes and regulation of construction insolvency, in South Australia are presented. The research found that there is an appetite amongst building contractors for the introduction of further regulation to address construction insolvency. Further, although the research found underbidding to be the biggest contributory factor towards construction insolvency, it appears to be the most difficult factor to address through regulation which explains the paucity of recommendations which directly address underbidding emanating from the Senate inquiry in 2015.

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Tesi sul tema "Construction industry Australia Forecasting"

1

Mohyla, Lolita V. (Lolita Veronica). "Alternative forms of building contract, and implications for the practice of architecture and influences upon the Australian building industry". 1992, 1992. http://web4.library.adelaide.edu.au/theses/09ARCHM/09archmm711.pdf.

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2

Clarke, Roddy N. "A managerial approach to forecasting for the construction industry". Thesis, Queen's University Belfast, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292594.

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3

Fan, Yat-chau, e 范一舟. "Modelling and forecasting Hong Kong construction demands". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45547269.

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Burroughs, Gary Leslie. "The response to environmental economic drivers by civil engineering contractors in South Australia". Title page, contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09ENV/09envb972.pdf.

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Bibliography: leaves 91-93. Examines the response of two civil engineering construction contractors in South Australia to environmental economic conditions and market requirements using primarily an action research methodology whilst the researcher was engaged as the environmental manager at both corporations.

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5

Weddikkara, Chitra. "The impact of professional culture on dispute resolution in the building industries of Australia and Sri-Lanka". Weddikkara, Chitra (2003) The impact of professional culture on dispute resolution in the building industries of Australia and Sri-Lanka. PhD thesis, Murdoch University, 2003. http://researchrepository.murdoch.edu.au/395/.

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The construction industry poses a number of challenges to those working in it. One important challenge is that the industry is dependent upon human interactions in the management of building projects. In this environment it is important for those who manage the projects to deal with intricate relationships and to consider the emotions, interactions and various types of reasoning that lie behind the actions and decisions taken by the participants in the construction process. The issue for researchers is to gain a better understanding of the variables that affect the actions of the participants in this process. Such research demands sensitivity to the values, attitudes and behavior developed by the different occupational groupings. These factors according to Edgar Schein define the culture of a professional group. This research was conceived on the belief that the professionals in the construction industry brought to bear their own professional culture on the industry. It was necessary to have a better understanding of this culture in order to be able to resolve disputes that occur in the construction process. That is the impact of culturally deternlined values, attitudes and behavior of these professional groups. Therefore, this research is aimed at investigating the professional cultures of the participants who come together in a construction project. The question posed was whether they shared a culture or had differences, and if differences existed whetherthese differences had an effect on the reactions of each of the groups to disputes and their resolution. A survey was carried out among professional groups in Australia and Sri-Lanka and the survey data from both countries were analyzed using statistical tests. The results show that professional groups share similarities in professional culture as well as differences. It also showed that these cultural differences created an adversarial atmosphere among construction project participants. It was also found that introducing a party outside of the usual professional groups would be beneficial in the resolution process. Respondents were of the opinion that the third party outside of the construction team could be a lawyer. This type of research is still new within the field of construction. The contributions of this work are to link professional culture and conflict and give some indication how such conflict could be addressed. In this context by identifying the values attitudes and behavior of professional groups the subject of conflict and disputes could be beneficially addressed through professional education.

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Rangel, Oscar O. "A profile of the construction equipment industry in Mexico a perspective for manufacturers of construction equipment /". Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2245.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains viii, 121 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 84-86).

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Wilmott, Leigh William, e n/a. "Australia's national competitive advantage in the non-residential construction industry : a Thailand case study". University of Canberra. Economics & marketing, 1998. http://erl.canberra.edu.au./public/adt-AUC20061110.145501.

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The objective of this study is to identify the key determinants of Australia's competitive advantage in the Non-residential construction industry. Porter's Five Competitive Forces Model has been used to analyse the existing industry structure both in Australia and Thailand. In addition. Porter's Diamond Model has been used for identifying the key determinants of Australia's competitive advantage in the industry. The study has drawn upon industry data obtained from interviews with operation managers and executives of major Australian firms in the non-residential construction industry who have been successfully operating in Thailand over the last ten years. Research, undertaken in Australia and Thailand, includes interviews and case study information gained from industry, government and academia. A key finding applicable to each case study was that Australian non-residential construction firms operating in Thailand competed successfully on higher order technological expertise in construction management and operation. Expertise and innovation was created and sustained at home through vertically integrated clusters of industry suppliers to the main contractor and replicated or adapted abroad to local circumstances. Australia's national competitive advantage in the industry has relied on the interaction of key determinants. Favourable factor conditions have provided Australia with a key advantage base, for example, skilled personnel, experience in a variety of construction areas due to the demands of Australia's geography and development needs, and adequate infrastructure provision both physical and capital. Favourable factor conditions combined with intense service rivalry at home, supportive related industries, demanding buyers, and effective competition policy are the key to Australia's success. The study goes on to explain the role that industry and government can play to ensure Australia remains internationally competitive in the industry. In addition summary recommendations are provided of the steps that Thailand needs to take to improve its competitiveness in general and the development of the construction industry in particular.

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Strez, Henryk Andrzej Leon. "The treatment of uncertainty in construction price modelling". Bachelor's thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/27115.

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The purpose of this thesis was to acquaint the reader on the nature of the uncertainty present in construction price forecasting and to introduce an environment that has the ability to integrate these uncertainties with greater consistency than that possessed by available price models. The objective of this thesis was to establish that uncertainty can be explicitly treated in price forecasting models. This would have two benefits to concerned parties. Firstly, the effectiveness of price forecasts could be improved as provision could be made for any uncertain variable. This will be of great benefit to the client, as a more accurate assessment of the building process could be established at an earlier stage of the design process. Secondly, the price forecast will be more useful to quantity surveyors, architects and clients, as it would 'quantify' the extent of the uncertainty which could be provided for in a more meaningful manner. In order to establish that existing price models do not deal with the uncertainty present at the time of forecasting, the price models used by practitioners were evaluated against the different types of uncertainty found at the different stages of the price forecasting process. Once this had been established, eight techniques that have the ability to treat various forms of uncertainty, were presented. After analysing the techniques abilities to cope with the uncertainties associated with price forecasting, it was established that certain of these techniques do have the ability, and are suitable, to be incorporated into the price forecasting process. From the results of a questionnaire survey conducted on quantity surveying offices in South Africa, it was found that the price models used by practitioners do not take uncertainty into account, and have in fact, the potential for uncertainty inducement. Some of the uncertainty found to be present in the preparation of a construction price forecast include the lack or incompleteness of design information, the uncertainty in the communication of design information, the variability in the data used by quantity surveyors and, the uncertainty in the choice of price model during the different stages of the design process. As a possible solution to the problem of uncertainty, an expert system environment, utilising a three-dimensional classification of uncertainty, has been proposed. It has been proved that this environment has the ability to cater for the uncertainty associated with the price forecasting process, as well as having the attribute of providing the user with the reasoning behind the logic that the expert system has followed, a characteristic not possible with the traditional forms of price models. From the findings of this thesis, it can be concluded that the methods of price modelling used by quantity surveying practitioners, are unable to take uncertainty into account effectively. It can also be concluded that an expert system environment has the ability to handle the different forms of uncertainty found at the various stages of construction design. The proposed model is conceptual in nature and has not been tested in practice. It is therefore recommended that further research be carried out in this field, with the aim of producing a construction price forecasting expert system which utilises the proposed three-dimensional classification of uncertainty.

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Mahbub, Rohana. "An investigation into the barriers to the implementation of automation and robotics technologies in the construction industry". Queensland University of Technology, 2008. http://eprints.qut.edu.au/26377/.

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The rising problems associated with construction such as decreasing quality and productivity, labour shortages, occupational safety, and inferior working conditions have opened the possibility of more revolutionary solutions within the industry. One prospective option is in the implementation of innovative technologies such as automation and robotics, which has the potential to improve the industry in terms of productivity, safety and quality. The construction work site could, theoretically, be contained in a safer environment, with more efficient execution of the work, greater consistency of the outcome and higher level of control over the production process. By identifying the barriers to construction automation and robotics implementation in construction, and investigating ways in which to overcome them, contributions could be made in terms of better understanding and facilitating, where relevant, greater use of these technologies in the construction industry so as to promote its efficiency. This research aims to ascertain and explain the barriers to construction automation and robotics implementation by exploring and establishing the relationship between characteristics of the construction industry and attributes of existing construction automation and robotics technologies to level of usage and implementation in three selected countries; Japan, Australia and Malaysia. These three countries were chosen as their construction industry characteristics provide contrast in terms of culture, gross domestic product, technology application, organisational structure and labour policies. This research uses a mixed method approach of gathering data, both quantitative and qualitative, by employing a questionnaire survey and an interview schedule; using a wide range of sample from management through to on-site users, working in a range of small (less than AUD0.2million) to large companies (more than AUD500million), and involved in a broad range of business types and construction sectors. Detailed quantitative (statistical) and qualitative (content) data analysis is performed to provide a set of descriptions, relationships, and differences. The statistical tests selected for use include cross-tabulations, bivariate and multivariate analysis for investigating possible relationships between variables; and Kruskal-Wallis and Mann Whitney U test of independent samples for hypothesis testing and inferring the research sample to the construction industry population. Findings and conclusions arising from the research work which include the ranking schemes produced for four key areas of, the construction attributes on level of usage; barrier variables; differing levels of usage between countries; and future trends, have established a number of potential areas that could impact the level of implementation both globally and for individual countries.

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Tsang, Yick-tat, e 曾億達. "Modelling and forecasting the general financial performance of listed construction firms in Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/198814.

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It is well recognised that construction firms encounter risk and are sensitive to trends and volatility in the business environment. Measuring the financial performance of a firm serves as the basis of monitoring and evaluating its management competence, resource allocation and corporate strategy in response to environmental change. Forecasting is paramount in responding to potential problems and perpetuating positive developments that result in sustainable competitiveness. Thus, an enriched understanding and prediction of the financial performance of construction firms are desirable for decision makers and other industry stakeholders. Notwithstanding that, little research attention has been paid to this premise conceptually and empirically. Thus, the overall aim of this study was to model and forecast the general financial performance of Hong Kong construction firms under the dynamic influence of the business environment. This study involved the application of quantitative modelling using various statistical and econometric techniques. Multidimensional firm financial performance was first approximated using factor analysis based on the financial data of local publicly listed construction firms from 1992 to 2010. The factor model uncovers five common financial factors: liquidity, asset, leverage, profitability and activity. The time trends of these factors display diverse and cyclical patterns with irregular cycle periods. Autoregressive integrated moving average (ARIMA) models were then constructed based on the Box-Jenkins approach, which provided univariate forecasts of the financial factors. The results reaffirmed that ARIMA models were highly effective in forecasting. In conjunction with cross-correlation analysis, multiple linear regression (MLR) models were next used to explore the influence of environmental determinants on firm financial performance. The findings identified different sets of significant leading determinants for different financial factors. They further justified the dominance of sectoral factors in the determination of firm performance. Supported by empirical verification, a theoretical framework depicting the relationships between business environment and firm performance was proposed. In conjunction with cross-correlation analysis, multiple linear regression (MLR) models were next used to explore the influence of environmental determinants on firm financial performance. The findings identified different sets of significant leading determinants for different financial factors. They further justified the dominance of sectoral factors in the determination of firm performance. Supported by empirical verification, a theoretical framework depicting the relationships between business environment and firm performance was proposed. This study is among the first to apply advanced econometric techniques to develop reliable performance measurement and forecasting models. The results improve the theoretical framework by explaining the dynamic relationships between the financial performance and business environment of construction firms. The empirical findings of the quantitative analysis offer new implications for firms’ financial performance and the significant leading determinants in a local context. The outcomes of this study make seminal contributions to current knowledge and practice.
published_or_final_version
Civil Engineering
Doctoral
Doctor of Philosophy

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Più fonti

Libri sul tema "Construction industry Australia Forecasting"

1

Alberta. Construction industry. [Edmonton]: [Government of] Alberta, 2006.

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Bailey, Ian H. Construction law in Australia. 2^a ed. North Ryde, N.S.W: LBC Information Services, 1998.

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3

Fildes, Robert. Effective use of information in forecasting: An evaluation of construction industry forecasting. Manchester: Manchester Business School, 1986.

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Stotter, James. Intelligent buildings: A growth industry. Stamford, Conn., U.S.A: Business Communications Co., 1986.

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5

Kwŏn, O.-hyŏn. Hanʼguk kŏnsŏrŏp mirae sijang: Tae yechʻŭk 2015 : hyanghu 10-yŏn ŭi chutʻaek, kŏnchʻuk, tʻomok sangpʻumbyŏl suyo chŏnmang. Sŏul-si: Hanʼguk Kŏnsŏl Sanŏp Yŏnʼguwŏn, 2006.

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6

Wo guo da xing jian zhu gong cheng she ji fa zhan fang xiang: Lun shu yu jian yi. Beijing: Zhongguo jian zhu gong ye chu ban she, 2005.

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Zhongguo jian zhu ye xie hui, a cura di. Zhongguo jian zhu ye fa zhan yan jiu bao gao. Beijing Shi: Zhongguo tong ji chu ban she, 2012.

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8

Münsteraner Wohnungswirtschaftliche Gespräche (5th 1994 Universität Münster). Wohnen 2000: Impulse für neue Unternehmensstrategien : Dokumentation, 5. Münsteraner Wohnungswirtschaftliche Gespräche, 22. September 1994, Westfälische Wilhelms-Universität Münster. Münster: Selbstverlag des Instituts für Siedlungs- und Wohnungswesen, 1995.

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National Research Council (U.S.). Board on Infrastructure and the Constructed Environment, a cura di. Advancing the competitiveness and efficiency of the U.S. construction industry. Washington, D.C: National Academies Press, 2009.

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Rabinowitz, Alan. Markets for new construction, 1980-87-95. Washington, D.C: NPA Data Services, 1988.

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Capitoli di libri sul tema "Construction industry Australia Forecasting"

1

Sivam, Alpana, Tony Trasente, Sadasivam Karuppannan e Nicholas Chileshe. "The impact of an ageing workforce on the construction industry in Australia". In Valuing People in Construction, 78–97. Abingdon, Oxon ; New York, NY : Routledge, 2018. | Series: Spon research, ISSN 1940-7653: Routledge, 2017. http://dx.doi.org/10.4324/9781315459936-6.

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Wellings, Fred. "Industry forecasting considerations". In Construction Equities, 121–56. Elsevier, 1994. http://dx.doi.org/10.1016/b978-1-85573-109-7.50013-5.

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Abdou, Alaa, John Lewis, Moh’d A. Radaideh e Sameera Al Zarooni. "Web-Based Information Systems in Construction Industry". In Encyclopedia of Internet Technologies and Applications, 702–10. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59140-993-9.ch099.

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This paper describes the development and construction of a Web-based system for the appraisal stage of public healthcare construction projects in the United Arab Emirates. The system is implemented on the World Wide Web. PHP and MySQL were selected as the scripting language and database management system to build this system prototype. Its main objectives focus on assisting decision-makers in examining different function program alternatives and their associated conceptual budgets. In addition, the system facilitates reflecting uncertainty and risk factors associated with healthcare space programming into cost estimating and forecasting processes.

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Vasant, P., N. Barsoum, C. Kahraman e G. M. Dimirovski. "Application of Fuzzy Optimization in Forecasting and Planning of Construction Industry". In Artificial Intelligence for Advanced Problem Solving Techniques, 254–65. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-705-8.ch010.

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This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and intelligent computing by MATLAB?. The optimal solution for profit function, index quality and worker satisfaction index in construction industry is considered. Decision maker and implementer tabulate the final possibilistic and realistic outcome for objective functions respect to level of satisfaction and vagueness for forecasting and planning. When the decision maker finds the optimum parameters with acceptable degree of satisfaction, he/she can apply the confidence of gaining much profit in terms of helping the public with high quality and least cost products. The proposed fuzzy membership function allows the implementer to find a better arrangement for the equipments in the production line to fulfill the wanted products in an optimum way.

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Jain, Sachin, e Milind T. Phadtare. "Influencers for Adoption of Robots in Indian Construction Industry". In Rapid Automation, 1236–58. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8060-7.ch058.

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Robots are developed for various construction processes and used in countries such as the USA, Japan and China. However, their adoption in India is very limited due to weaknesses in the construction sector. The Indian construction industry is poised to grow at a faster rate due to planned investment. Robots will benefit construction industry by way of better productivity, quality, timely completion, etc. resulting in the growth of construction industry. This paper identifies the structure of influencers of adoption of robots in the Indian infrastructure construction sector using exploratory factor analsis. This structure was validated using confirmatory factor analysis. A total of 20 influencers are identified and grouped in eight factors. Based on these influencers, strategies are recommended to enhance adoption of robots in Indian infrastructure construction industry. Finally the authors identify the influencers that are common to India and other countries in Asia, America, Europe and Australia.

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Gauntlett, Stathis. "Rebetika , the Blues of Greece—and Australia". In Greek Music in America, 104–18. University Press of Mississippi, 2018. http://dx.doi.org/10.14325/mississippi/9781496819703.003.0006.

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With an alarmingly large and comprehensive body of work examining myriad aspects of the topic, Australia’s Stathis Gauntlett is arguably the most knowledgeable rebetika scholar today. “Rebetika, the Blues of Greece—and Australia" not only delineates the lengthy history of rebetika in Greece and Greek communities in Australia, but also traces its ties to the American recording industry (including its construction as a genre by that industry) and even its comparisons to the blues. Although this book focuses primarily on America, developments in Australian diaspora communities provide fascinating and relevant points of reference due to the powerful similarities between the two countries and the lives of diaspora Greeks.

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Gerrard, Alex, Jian Zuo, George Zillante e Martin Skitmore. "Building Information Modeling in the Australian Architecture Engineering and Construction Industry". In Handbook of Research on Building Information Modeling and Construction Informatics, 521–45. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-928-1.ch023.

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Building Information Modeling (BIM) is a modern approach to the design, documentation, delivery, and life cycle management of buildings through the use of project information databases coupled with object-based parametric modeling. BIM has the potential to revolutionize the Architecture, Engineering and Construction (AEC) industry in terms of the positive impact it may have on information flows, working relationships between project participants from different disciplines and the resulting benefits it may achieve through improvements to conventional methods. This chapter reviews the development of BIM, the extent to which BIM has been implemented in Australia, and the factors which have affected the up-take of BIM. More specifically, the objectives of this chapter are to investigate the adoption of BIM in the Australian AEC industry and factors that contribute towards the uptake (or non uptake) of BIM. These objectives are met by a review of the related literature in the first instance, followed by the presentation of the results of a 2007 postal questionnaire survey and telephone interviews of a random sample of professionals in the Australian AEC industry. The responses suggest that less than 25 percent of the sample had been involved in BIM – rather less than might be expected from reading the literature. Also, of those who have been involved with BIM, there has been very little interdisciplinary collaboration. The main barriers impeding the implementation of BIM widely across the Australian AEC industry are also identified. These were found to be primarily a lack of BIM expertise, lack of awareness and resistance to change. The benefits experienced as a result of using BIM are also discussed. These include improved design consistency, better coordination, cost savings, higher quality work, greater productivity and increased speed of delivery. In terms of conclusion, some suggestions are made concerning the underlying practical reasons for the slow up-take of BIM and the successes for those early adopters. Prospects for future improvement are discussed and proposals are also made for a large scale worldwide comparative study covering industry-wide participants.

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Deo, Ravinesh C., Sujan Ghimire, Nathan J. Downs e Nawin Raj. "Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model". In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 116–47. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch007.

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The precise prediction of windspeed is essential in order to improve and optimize wind power prediction. However, due to the sporadic and inherent complexity of weather parameters, the prediction of windspeed data using different patterns is difficult. Machine learning (ML) is a powerful tool to deal with uncertainty and has been widely discussed and applied in renewable energy forecasting. In this chapter, the authors present and compare an artificial neural network (ANN) and genetic programming (GP) model as a tool to predict windspeed of 15 locations in Queensland, Australia. After performing feature selection using neighborhood component analysis (NCA) from 11 different metrological parameters, seven of the most important predictor variables were chosen for 85 Queensland locations, 60 of which were used for training the model, 10 locations for model validation, and 15 locations for the model testing. For all 15 target sites, the testing performance of ANN was significantly superior to the GP model.

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Pickersgill, Robert Sean, Rameez Rameezdeen e Jennifer Harvey. "OnSite". In Claiming Identity Through Redefined Teaching in Construction Programs, 153–76. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8452-0.ch009.

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The chapter summarizes the educational pedagogy researched and developed in the OnSite project, a multi-year trial of a blended virtual learning environment, situating it in the context of immersive learning environments generally and discussing the specific challenges in designing and creating environments suitable for introductory construction courses. It documents and reports the challenges in creating a virtual learning environment (VLE) for use within an introductory construction course for architecture and building students at the University of South Australia. In addition, the chapter will reflect on issues of technical development for immersive learning environments, discussing the purpose and value of high-fidelity modelling, texturing, and lighting to achieve learning “authenticity.” Finally, the chapter looks at the implications for VLEs of this sort in terms of larger issues regarding the potential for game engine (GE) environments as cooperative spaces within the AEC industry.

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Atti di convegni sul tema "Construction industry Australia Forecasting"

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Banki, M. T., e B. Esmaeeli. "Using historical data for forecasting S-curves at construction industry". In 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4737875.

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He, Weida, Yuan Xie e QuanXi Liu. "Research on safety levels in the Chinese Construction Materials Industry based on Gray model forecasting". In 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2012. http://dx.doi.org/10.1109/iciea.2012.6360770.

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Jaques, Susan. "Same Yet Different: A Comparison of Pipeline Industries in Canada and Australia". In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-106.

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Canada and Australia are remarkably similar countries. Characteristics such as geography, politics, native land issues, and population are notably similar, while the climate may be considered the most obvious difference between the two countries. The pipeline industries are similar as well, but yet very different in some respects too. This presentation will explore some of the similarities and differences between the pipeline industries in both countries. The focus of the discussion will be mainly on long-distance, cross-country gas transmission pipelines. The author of this paper spent 4 years working for TransCanada PipeLines in Calgary in a pipeline design and construction capacity, and has spent 2.5 years working for an engineering consultant firm, Egis Consulting Australia, in a variety of roles on oil and gas projects in Australia. Topics to be addressed include the general pipeline industry organisation and the infrastructure in both countries. The history of the development of the pipeline industry in each country provides insight as to why each is organised the way it is today. While neither system is “better” than the other, there are certain advantages to Canada’s system (nationally regulated) over Australia’s system (currently state-regulated). The design codes of each country will be compared and contrasted. The pipeline design codes alternate in level of detail and strictness of requirements. Again, it cannot be said that one is “better” than the other, although in some cases one country’s code is much more useful than the other for pipeline designers. Construction techniques affected by the terrain and climate in each country will be explored. Typical pipeline construction activities are well known to pipeliners all over the globe: clear and grade, trench, string pipe, weld pipe, coat welds, lower in, backfill and clean up. The order of these activities may change, depending on the terrain and the season, and the methods of completing each activity will also depend on the terrain and the season, however the principles remain the same. Australia and Canada differ in aspects such as climate, terrain and watercourse type, and therefore each country has developed methods to handle these issues. Finally, some of the current and future opportunities for the 21st century for the pipeline industry in both countries will be discussed. This discussion will include items such as operations and maintenance issues, Canada’s northern development opportunities, and Australia’s national gas grid possibilities.

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Vogt, Brett D., e Raymond “Buddy” E. Belcher. "Deploying Mobile Construction Inspection Forms as a Case Study for Technology Adoption". In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64637.

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Abstract (sommario):

Within pipeline construction field inspection data collection relies mostly on archaic systems and processes. For almost all projects, paper-based or at best word processor and spreadsheet reports are manually collected, reviewed, aggregated and archived. The effort and error in this typical process is reduced using a mobile inspection form system that simplifies the field data collection workflow, increases data accuracy and quality, and can be used to generate dynamic project management dashboards. An evaluation of two case study projects provides insight to overcoming technology adoption for pipeline construction as well as performance, quality and forecasting benefits witnessed during these projects. The use of a mobile inspection form system creates the ability for improved analytics such as detailed construction tracking, dynamic forecasting and spatial overlays of construction progress. Improved data standardization and data integrity from the use of tablet forms produces detailed and functional key performance indicators (KPIs) delivered on-demand through a project dashboard. When both field data quality is improved and project managers are provided timely KPIs, projects have the opportunity to be delivered safer, faster and with higher quality, which is a win for the entire pipeline industry.

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Fordyce, Mike, e Colin Caprani. "Development of Confidential Reporting on Structural Safety in Australasia". In IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.0783.

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<p>Confidential Reporting on Structural Safety – Australasia (CROSS-AUS) is the confidential reporting system established in Australasia in 2018 to capture and share lessons learned from structural safety issues which might not otherwise get public recognition. It builds on the success of CROSS- UK, the unique UK based system which has been operating since 2005 and is part of a growing network of CROSS programmes internationally. There has been interest in CROSS in Australia for many years and CROSS-AUS would like to see this interest now extended into New Zealand. Ultimately the intention is to have a global freely available database to be used by the construction industry anywhere to improve the safety of their buildings, structures, and national infrastructure. The paper will describe the processes used by CROSS and provide examples of instances where beneficial changes have resulted.</p>

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Kotousov, Andrei, Krzysztof Borkowski, Leigh Fletcher e Reza Ghomashchi. "A Model of Hydrogen Assisted Cold Cracking in Weld Metal". In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90385.

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Due to significant cost and productivity advantages, low heat inputs, high welding speeds, severe loading conditions and the use of cellulosic electrodes in the construction of oil and gas pipelines are unavoidable in Australia. Another significant cost reduction directly related to the tonnage of steel pipe dictates the wider use of higher grade steels, such as X70, X80 or X100. These current tendencies raise a serious concern regarding potential problems associated with weld metal hydrogen assisted cold cracking, HACC. Although there are industry standards and guidelines for the avoidance of hydrogen cracking in the heat affected zone, this is not the case for the weld metal, which is now more likely source of crack initiation in modern pipeline steels. The current paper develops a simplified mathematical model to predict the risk of hydrogen cracking in weld metal. A sensitivity study is conducted to evaluate the effect of various welding parameters and geometry, such as heat input, preheat and ambient temperatures and wall thickness on the risk of hydrogen cracking.

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Smith-Briggs, Jane, Dave Wells, Tommy Green, Andy Baker, Martin Kelly e Richard Cummings. "The Australian National Radioactive Waste Repository: Environmental Impact Statement and Radiological Risk Assessment". In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4865.

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The Environmental Impact Statement (EIS) for the proposed Australian National Repository for low and short-lived intermediate level radioactive waste was submitted to Environment Australia for approval in the summer of 2002 and has subsequently undergone a consultancy phase with comments sought from all relevant stakeholders. The consultancy period is now closed and responses to the comments have been prepared. This paper describes some of the issues relevant to determining the radiological risk associated with the repository to meet the requirements of the EIS. These include a brief description of the three proposed sites, a description of the proposed trench design, an analysis of the radioactive waste inventory, the proposed approach to developing waste acceptance criteria (WAC) and the approach taken to determine radiological risks during the post-institutional control phase. The three potential sites for the repository are located near the Australian Department of Defence site at Woomera, South Australia. One site is inside the Defense site and two are located nearby, but outside of the site perimeter. All have very similar, but not identical, topographical, geological and hydrogeological characteristics. A very simple trench design has been proposed 15 m deep and with 5 m of cover. One possible variant may be the construction of deeper borehole type vaults to dispose of the more active radioactive sources. A breakdown of the current and predicted future inventory will be presented. The current wastes are dominated in terms of volume by some contaminated soils, resulting from experiments to extract U and Th, and by the operational wastes from the HIFAR research reactor at ANSTO. A significant proportion of the radionuclide inventory is associated with small volumes of sources held by industry, medical, research and defence organisations. The proposed WAC will be described. These are based on the current Australian guidelines and best international practice. The preliminary radiological risk assessment considered the post-institutional control phase in detail with some 12 scenarios being assessed. These include the impact of potential climate change in the region. The results from the risk assessment will be presented and discussed. The assessment work is continuing and will support the license application for construction and operation of the site. Please note that this is not the final assessment for the licence application.

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Chawla, Tamanjot Singh, Abhinav Hazra, R. K. Raigar e Kishori Lal. "Towards Sustainable Economic Growth: Use of Brick Waste Powder in Oil Well Cement Applications". In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201080-ms.

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Abstract The construction waste generated annually in India is around 165-175 million tonnes, as per 2019 India's insights. This paper investigates the use of brick waste (B/W) as an aggregate in Oil Well cement and studies it's viability. Bricks are made from calcination of alumino-silicate clay hence they are expected to have artificial pozzolanic material. The addition of B/W significantly influences particle volume fraction, which is further elaborated in this paper. The construction industry in India is booming. Already at 10 percent of the GDP, it has been growing at an annual rate of 10 percent over the last 10 years against the world's average of 5.5 percent per annum and the built-up area is expected to grow 5 times by 2030. This will lead to a subsequent increase in construction waste, including brick waste. As per TIFAC (Technology Information, Forecasting and Assessment Council), a Government of India agency, a new construction generates 40-60 kg of brick waste per sq. meter.

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Porter, Todd, e Darrell Donaho. "Pipeline Integrity Data: Managing Past, Present, Future". In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33708.

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Abstract (sommario):

The pipeline industry has recognized the need for an improved process to manage pipeline integrity data, in order to better serve the needs of; business, operations and engineering, to satisfy corporate governance requirements and state and federal regulatory compliance. The use of an industry data model such as Pipeline Open Data Standard (PODS), provides the foundational database structure for storing pipeline construction, operations and maintenance data. This provides an effective means to understand current state of the pipeline, but is not designed to store historical and large volume data sets. Kinder Morgan along with other pipeline operators, presented a requirement and provided guidance on development of a Managed Integrity Data Process (MIDP) platform that augments typical PODS database implementations. This approach uses extensible methods and structure to further enable storage of the complete history of the pipeline and facilitate; time series analysis, trending, forecasting, and prioritization, to support integrity management decisions. The platform includes; data alignment tools for condition assessment from ILI/CIS surveys, management of pipeline history and providing an environment to deliver quick, accurate, and complete access to the integrity data via a WEB-UI. In addition to storing pipeline condition information, the database architecture and surrounding process tools manage changes in pipeline position resulting from; relocation / reroutes, replacement and resurvey, while maintaining associated data attributes with these spatial location changes. The user has a complete GIS graphical view and synchronized tabular data view, showing changes to not only attributes, but changes in Class Location, HCA’s, and Risk results. This enables enhanced root cause, trend and forecasting capabilities. This paper will discuss; implementation, experience gained, and the value points within the various stakeholder groups, from the pipeline operator perspective.

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Zhang, Chen, Tao Yang, Wei Gao, Weiqiu Chen, Jing He e Xingwang Yang. "A Spare Parts Demand Prediction Method for Wind Farm Based on Periodic Maintenance Strategy". In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3077.

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Nowadays, the management level and information construction of wind power industry are still relatively backward, for example, the existing maintenance models for wind farm are much too single, and corrective maintenance strategy is the most commonly used, which means that maintenance measures are initiated only after a breakdown occurs in the system. Moreover, the wind farm spare parts management is out-dated, no practical and accurate spares demand assessment method is available. In order to enrich the choices of maintenance methods and eliminate the subjective influence in the demand analysis of spare parts, a spare parts demand prediction method for wind farm based on periodic maintenance strategy considering combination of different maintenance models for wind farms is proposed in this paper, which consists of five major steps, acquire the reliability functions of components, establish the maintenance strategy, set the maintenance parameters, maintenance strategy simulation and spare parts demand prediction. The discrete event simulation method is used to solve the prediction model, and results demonstrate the operability and practicality of the proposed demand forecasting method, which can provide guidance for the actual operation and maintenance of wind farms.

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