Academic literature on the topic 'Construction industry Australia Forecasting'

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Journal articles on the topic "Construction industry Australia Forecasting"

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Fedorova, E. A., and S. E. Dovzhenko. "THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE." Effective crisis management, no. 6 (January 20, 2015): 94. http://dx.doi.org/10.17747/2078-8886-2014-6-94-99.

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Rahmani, Farshid, Tayyab Maqsood, and Malik Khalfan. "An overview of construction procurement methods in Australia." Engineering, Construction and Architectural Management 24, no. 4 (July 17, 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-bas
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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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Jaber, Firas, Faiq Al-Zwainy, and Nidal Jasim. "Forecasting techniques in construction industry: earned value indicators and performance models." Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 29, no. 2 (July 6, 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
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Kim, Jihye, Haekyung Im, and Jaehyun Choi. "Forecasting the Effects of the Claims in the Korean Construction Industry." Korean Journal of Construction Engineering and Management 17, no. 5 (September 30, 2016): 35–44. http://dx.doi.org/10.6106/kjcem.2016.17.5.035.

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Sing, Chun-Pong, Peter E. D. Love, and Chi-Ming Tam. "Forecasting the Demand and Supply of Technicians in the Construction Industry." Journal of Management in Engineering 30, no. 3 (May 2014): 04014006. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000227.

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Allan, Cameron, Andrew Dungan, and David Peetz. "‘Anomalies’, Damned ‘Anomalies’ and Statistics: Construction Industry Productivity in Australia." Journal of Industrial Relations 52, no. 1 (February 2010): 61–79. http://dx.doi.org/10.1177/0022185609353985.

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Hashaeva, O. S. "STATE REGULATION OF THE CONSTRUCTION INDUSTRY." Scientific bulletin of the Southern Institute of Management, no. 1 (March 30, 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 forecastin
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Mills, Anthony, David Harris, and Martin Skitmore. "The accuracy of housing forecasting in Australia." Engineering, Construction and Architectural Management 10, no. 4 (August 2003): 245–53. http://dx.doi.org/10.1108/09699980310489951.

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Coggins, Jeremy, Bianca Teng, and Raufdeen Rameezdeen. "Construction insolvency in Australia: reining in the beast." Construction Economics and Building 16, no. 3 (September 8, 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 desi
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Dissertations / Theses on the topic "Construction industry Australia Forecasting"

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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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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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Fan, Yat-chau, and 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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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 participan
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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.<br>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, and 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 b
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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 ben
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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
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Tsang, Yick-tat, and 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 decis
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Books on the topic "Construction industry Australia Forecasting"

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

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

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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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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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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, ed. Zhongguo jian zhu ye fa zhan yan jiu bao gao. Beijing Shi: Zhongguo tong ji chu ban she, 2012.

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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, ed. 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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Book chapters on the topic "Construction industry Australia Forecasting"

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Sivam, Alpana, Tony Trasente, Sadasivam Karuppannan, and 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, and 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, and 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, and 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, and 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, and 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, and 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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Conference papers on the topic "Construction industry Australia Forecasting"

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Banki, M. T., and 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, and 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 year
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Vogt, Brett D., and 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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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 fo
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Fordyce, Mike, and 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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&lt;p&gt;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 intenti
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Kotousov, Andrei, Krzysztof Borkowski, Leigh Fletcher, and 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
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Smith-Briggs, Jane, Dave Wells, Tommy Green, Andy Baker, Martin Kelly, and 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 descripti
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Chawla, Tamanjot Singh, Abhinav Hazra, R. K. Raigar, and 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
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Porter, Todd, and 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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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 da
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Zhang, Chen, Tao Yang, Wei Gao, Weiqiu Chen, Jing He, and 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.

Full text
Abstract:
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 analys
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