Journal articles on the topic 'Construction industry Australia Forecasting'
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1
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.
2
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.
Abstract:
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.
3
Doroshenko, Anna. "Applying Artificial Neural Networks In Construction." E3S Web of Conferences 143 (2020): 01029. http://dx.doi.org/10.1051/e3sconf/202014301029.
Abstract:
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.
4
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.
Abstract:
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.
5
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.
6
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.
7
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.
8
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.
Abstract:
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.
9
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.
10
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.
Abstract:
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.
11
Sriravindrarajah, Rasiah, and Elizebeth Tran. "Waterproofing practices in Australia for building construction." MATEC Web of Conferences 195 (2018): 01002. http://dx.doi.org/10.1051/matecconf/201819501002.
Abstract:
Waterproofing is an essential component in building construction to maintain the integrity of buildings with reduced maintenance cost. A comprehensive waterproofing system is an integrated combination of factors, and includes product selection, membrane detail, substrate preparation, design, installation and maintenance. It is designed to work under different environmental conditions, substrates and applications. Proper understanding of the issues related to waterproofing membrane systems is important to minimise the waterproofing failures in both commercial and residential buildings. This paper aims to discuss Standards and Codes; membrane systems and performance, waterproofing practices, design and installation techniques, inspection and testing and quality assurance adopted by the waterproofing industry in Australia.
12
Zhou, Jianguo, Xiaolei Xu, Wei Li, Fengtao Guang, Xuechao Yu, and BaoLing Jin. "Forecasting CO2 Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis." Journal of Energy 2019 (March 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/8275491.
Abstract:
As a pillar industry of national economy, China’s construction industry is still facing the status of substantial energy consumption and high CO2 emissions, which is a key field of energy conservation and emission reduction. In CO2 emissions research, it is essential to focus on analyzing the present and future trends of CO2 emissions in China’s construction industry. This article introduces a novel prediction model, in which the weighted algorithm is combined with Elman neural network (ENN) optimized by Adaptive Boosting algorithm (Adaboost) for evaluating future CO2 emissions in China’s construction industry. Firstly, logarithmic mean Divisia index (LMDI) is used to decompose CO2 emissions into economy, structural, intensity, and population indicators, posing as inputs to the weighted Adaboost-ENN model. Then, through comparison with other three models based on the data of total CO2 emissions in China’s construction industry during 2004-2016, there is evidence that the proposed model makes a favorable prediction performance. On this basis, we employ scenario analysis to predict future trend of CO2 emissions in China’s construction industry. It can be found that the peak of CO2 emissions in China’s construction industry will be achieved before 2030 in high carbon scenario (HS) and baseline carbon scenario (BS), whereas it will not be realized in low carbon scenario (LS). Finally, the specific policy recommendations related to energy conservation and emission reduction in China’s construction industry are proposed.
13
Hua, Goh Bee, and Teo Ho Pin. "Forecasting construction industry demand, price and productivity in Singapore: the BoxJenkins approach." Construction Management and Economics 18, no. 5 (July 2000): 607–18. http://dx.doi.org/10.1080/014461900407419.
14
HWANG, Seokyon. "A BAYESIAN APPROACH FOR FORECASTING ERRORS OF BUDGET COST ESTIMATES." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 2 (August 27, 2015): 178–86. http://dx.doi.org/10.3846/13923730.2014.897981.
Abstract:
Accurate estimation of budget costs is critical for effective management of construction projects. The performance of various management functions is dependent on the accuracy of the estimates throughout the construction phase. These estimates, however, inevitably involve a considerable amount of error, which imperatively requires the evaluation of budget cost estimates and the measurement of errors associated with the estimates. Applying an analytical procedure, this study carried out a thorough statistical analysis of existing practice in the construction industry to identify limitations of the practice. As an alternative to the practice, a Bayesian approach was found to be more appropriate than the industry common practice to account for the probabilistic nature of estimates and to forecast errors associated with the budget estimates. A scenario-based example is included to demonstrate application of the analytical procedure for analysing historical cost performance data that are readily available in most construction companies.
15
Kim, Kyeong-Baek, Ji-Hoon Cho, and Sang-Bum Kim. "Model-Based Dynamic Forecasting for Residential Construction Market Demand: A Systemic Approach." Applied Sciences 11, no. 8 (April 19, 2021): 3681. http://dx.doi.org/10.3390/app11083681.
Abstract:
According to the previous research, proper demand forecasting could help construction-related firms in effective planning for future market changes. However, existing market demand forecasting models are somewhat limited, and most of them bear some critical shortcomings. This research aims to develop a forecasting model for the Korean residential construction industry using system dynamics. In developing the market forecasting model, this research uses variables that significantly impact future construction market change. Many of the existing models do not include as many variables as this model, and none of them have considered complex interlocking effects among these variables. This model is also the first model using a system-based approach by looking at the target industry as a ‘one complex system’ rather than focusing on individual variables’ impact on future market changes. By employing system dynamics, it is possible to consider qualitative and quantitative aspects and produce long-term market forecasting results. The developed market forecasting model consists of two main modules, the first being a prediction module for the grassroots construction market and the second for operation and maintenance (O&M) and the demolition market. Sixteen input variables are grouped into four categories: social, economy, regulation, and past market size among over 25 identified variables. The model utilizes a mathematical function system using the designed feedback loops in producing future market forecasts. Based on the validation tests with past market data, it turns out that the model is reliable, with the determination coefficient (R2) being over 0.7 on all tested occasions. According to the model’s forecasting results, the Korean construction market’s size is expected to be 231 billion won in 2015 and 286 billion won in 2030. However, the O&M market’s growth rate is expected to be higher than 180%, which is much bigger than those of the grass-root and demolition markets. Thus, this research model is realistic according to the construction paradigm change. This research is considered one of the pioneering studies in construction market forecasting by employing dynamic inter-relationships among various input variables. Therefore, the market forecasting results can be interpreted as more practical and can provide more insights to the construction industry stakeholders. The model is envisioned to provide the public sector with useful guidelines in preparing future public market supply strategies such as construction budget allocations. It would also be helpful for the private sector to develop more proactive and accurate demand strategies for timely decision-making.
16
Ayers, Gerard Francis, John F. Culvenor, Jim Sillitoe, and Dennis Else. "Meaningful and effective consultation and the construction industry of Victoria, Australia." Construction Management and Economics 31, no. 6 (June 2013): 542–67. http://dx.doi.org/10.1080/01446193.2012.726366.
17
Creighton, Breen. "Regulating the Building and Construction Industry in Australia: Condoning Industrial Apartheid." International Labor Rights Case Law 5, no. 3 (December 13, 2019): 271–76. http://dx.doi.org/10.1163/24056901-00503005.
18
Zhao, Linlin, Jasper Mbachu, and Huirong Zhang. "Forecasting residential building costs in New Zealand using a univariate approach." International Journal of Engineering Business Management 11 (January 1, 2019): 184797901988006. http://dx.doi.org/10.1177/1847979019880061.
Abstract:
Construction cost index has been widely used to prepare cost estimates, budgets, and bids for construction projects. It can also be regarded as an indicator of cost level, which makes it valuable to public authorities for understanding the conditions in the construction industry. Accurate forecasting of future construction cost index is essential for construction industry at both micro- and macro-level. To improve the accuracy of the cost forecasting, time series modeling techniques are adopted in this study. The performance of the exponential smoothing models and seasonal autoregressive integrated moving average (ARIMA) models for forecasting the building cost of five categories of residential building (one-story house, two-story house, town house, apartment, and retirement village building) in New Zealand is compared. Exponential smoothing models can produce more accurate forecasts for cost series of the one-story house and two-story house in New Zealand, while seasonal ARIMA models outperform exponential smoothing models across the cost series for town house, apartment, and retirement village building. This study contributes toward the development of the current state of knowledge in the area of cost index forecasting for New Zealand and provides insights that should be valuable from the practitioner perspectives.
19
Shooshtarian, Salman, Tayyab Maqsood, Peter SP Wong, Malik Khalfan, and Rebecca J. Yang. "Extended Producer Responsibility in the Australian Construction Industry." Sustainability 13, no. 2 (January 11, 2021): 620. http://dx.doi.org/10.3390/su13020620.
Abstract:
With the COVID-19 outbreak across the world, policymakers and authorities have realised that they cannot solve the emerging issues using conventional policies and practices. COVID-19 has severely affected many industries, including construction and demolition (C&D) waste management and C&D waste resource recovery sector. Extended Producer Responsibility (EPR) and schemes alike are policy instruments that prevent waste generation and promote a circular economy in the construction industry. These schemes are long adopted in various countries for different waste streams. EPR policy development and implementation, particularly for C&D waste, is still at an early stage in Australia. This study aims to review the Australian regulatory environment and practice to identify barriers and enablers towards successful policy development and implementation of C&D waste-related EPR. This study is based on secondary data that are publicly available. The document analysis was conducted to identify the level of regulatory and other stakeholders support in Australia. Following three rounds of examination of sources and applying multiple selection criteria, 59 different sources were reviewed in total. The results showed that there is widespread support among different stakeholders to develop EPR and expand the existing regulation to other materials. The barriers were cost and time implications for EPR policy establishment and enforcement, diversity of stakeholders involved, construction product lifecycle, responsibility of manufacturers, complexity in implantation of EPR regulations, modification inbuilt facilities and health and safety issues. Recommendations are made to alleviate these challenges. The outcome of this study could serve as a guideline for designing effective EPR policies.
20
Shooshtarian, Salman, Tayyab Maqsood, Peter SP Wong, Malik Khalfan, and Rebecca J. Yang. "Extended Producer Responsibility in the Australian Construction Industry." Sustainability 13, no. 2 (January 11, 2021): 620. http://dx.doi.org/10.3390/su13020620.
Abstract:
With the COVID-19 outbreak across the world, policymakers and authorities have realised that they cannot solve the emerging issues using conventional policies and practices. COVID-19 has severely affected many industries, including construction and demolition (C&D) waste management and C&D waste resource recovery sector. Extended Producer Responsibility (EPR) and schemes alike are policy instruments that prevent waste generation and promote a circular economy in the construction industry. These schemes are long adopted in various countries for different waste streams. EPR policy development and implementation, particularly for C&D waste, is still at an early stage in Australia. This study aims to review the Australian regulatory environment and practice to identify barriers and enablers towards successful policy development and implementation of C&D waste-related EPR. This study is based on secondary data that are publicly available. The document analysis was conducted to identify the level of regulatory and other stakeholders support in Australia. Following three rounds of examination of sources and applying multiple selection criteria, 59 different sources were reviewed in total. The results showed that there is widespread support among different stakeholders to develop EPR and expand the existing regulation to other materials. The barriers were cost and time implications for EPR policy establishment and enforcement, diversity of stakeholders involved, construction product lifecycle, responsibility of manufacturers, complexity in implantation of EPR regulations, modification inbuilt facilities and health and safety issues. Recommendations are made to alleviate these challenges. The outcome of this study could serve as a guideline for designing effective EPR policies.
21
Chancellor, Will. "Drivers of Productivity: a Case Study of the Australian Construction Industry." Construction Economics and Building 15, no. 3 (August 31, 2015): 85–97. http://dx.doi.org/10.5130/ajceb.v15i3.4551.
Abstract:
Australian construction productivity has grown slowly since 1985 and remains arguably stagnant. The importance of this study is therefore to examine several factors through to be drivers of construction productivity and to understand possible avenues for improvement. The drivers tested are research and development, apprentices, wage growth, unionisation and safety regulation. Expenditure on research and development and the number of apprentices were found to be drivers of productivity growth in Victoria, New South Wales and Western Australia. These findings are important because collectively, these three states account for a majority of construction activity in Australia.
22
Lam, Ka Chi, and Olalekan Shamsideen Oshodi. "Forecasting construction output: a comparison of artificial neural network and Box-Jenkins model." Engineering, Construction and Architectural Management 23, no. 3 (May 16, 2016): 302–22. http://dx.doi.org/10.1108/ecam-05-2015-0080.
Abstract:
Purpose – Fluctuations in construction output has an adverse effect on the construction industry and the economy due to its strong linkage. Developing reliable and accurate predictive models is vital to implementing effective response strategies to mitigate the impact of such fluctuations. The purpose of this paper is to compare the accuracy of two univariate forecast models, i.e. Box-Jenkins (autoregressive integrated moving average (ARIMA)) and Neural Network Autoregressive (NNAR). Design/methodology/approach – Four quarterly time-series data on the construction output of Hong Kong were collected (1983Q1-2014Q4). The collected data were divided into two parts. The first part was fitted to the model, while the other was used to evaluate the predictive accuracy of the developed models. Findings – The NNAR model can provide reliable and accurate forecast of total, private and “others” construction output for the medium term. In addition, the NNAR model outperforms the ARIMA model, in terms of accuracy. Research limitations/implications – The applicability of the NNAR model to the construction industry of other countries could be further explored. The main limitation of artificial intelligence models is the lack of explanatory capability. Practical implications – The NNAR model could be used as a tool for accurately predicting future patterns in construction output. This is vital for the sustained growth of the construction industry and the economy. Originality/value – This is the first study to apply the NNAR model to construction output forecasting research.
23
Mills, Anthony, Jim Smith, and Peter Love. "Barriers to the Development of SME's in the Australian Construction Industry." Construction Economics and Building 2, no. 2 (November 17, 2012): 71–79. http://dx.doi.org/10.5130/ajceb.v2i2.2902.
Abstract:
Small and medium sized companies (SMEs) operating in the construction industry in regionalareas of Australia often struggle to compete against city-based companies for constructionwork. This paper identifies the barriers that confront SMEs in areas outsidemajor cities, specifically in regional areas of Victoria (Australia) where local firms oftencompete unsuccessfully against large Melbourne-based organisations. The authors alsolook at the possibility of using e-commerce solutions to give regional SMEs greater competitivenessas well as considering possible policy initiatives that may assist these companiesto be more successful in tendering against city-based competition.
24
Detsimas, Nicole, Vaughan Coffey, Zabihullah Sadiqi, and Mei Li. "Workplace training and generic and technical skill development in the Australian construction industry." Journal of Management Development 35, no. 4 (May 9, 2016): 486–504. http://dx.doi.org/10.1108/jmd-05-2015-0073.
Abstract:
Purpose – The purpose of this paper is to investigate the current skills gap in both generic and skill areas within the construction industry in Queensland, Australia. Design/methodology/approach – An internet-based survey was administered to collect the opinions of construction employees about the workplace-training environment and their perceptions towards training. The survey intended to address the following research questions, specifically in relation to the construction industry. Findings – The survey results reveal that whilst overall participation in workplace training is high, the current workplace training environments do not foster balanced skill development. The study reveals that in the current absence of a formal and well-balanced training mechanism, construction workers generally resort to their own informal self-development initiatives to develop the needed role-specific theoretical knowledge. Research limitations/implications – The findings of the research are based on the data primarily collected in the construction industry in Queensland, Australia. The data are limited to a single Tier 2 construction company. Practical implications – The findings of this study can be utilised to suggest improvements in the current (or develop new) workplace training initiatives. Social implications – The research suggests that workplace training has positive relationship with career growth. The results suggest that in the construction industry, employees are generally well aware of the importance of workplace training in their career development and they largely appreciate training as being a critical factor for developing their capacity to perform their roles successfully, and to maintain their employability. Originality/value – This paper is unique as it investigates the current skills gap in both generic and skill areas within the construction industry in Queensland, Australia. So far no work has been undertaken to identify and discusses the main method of workplace learning within the Tier 2 industry in the context of Queensland Australia.
25
Shi, Song, Vince Mangioni, Xin Janet Ge, Shanaka Herath, Fethi Rabhi, and Rachida Ouysse. "House Price Forecasting from Investment Perspectives." Land 10, no. 10 (September 26, 2021): 1009. http://dx.doi.org/10.3390/land10101009.
Abstract:
Housing market dynamics have primarily shifted from consumption- to investment-driven in many countries, including Australia. Building on investment theory, we investigated market dynamics by placing investment demand at the center using the error correction model (ECM). We found that house prices, rents, and interest rates are cointegrated in the long run under the present value investment framework. Other economic factors such as population growth, unemployment, migration, construction activities, and bank lending were also important determinants of the housing market dynamics. Our forecasting results show that the Sydney housing market will continue to grow with no significant price decline in the foreseeable future.
26
Hughes, Rami, and David Thorpe. "A review of enabling factors in construction industry productivity in an Australian environment." Construction Innovation 14, no. 2 (April 1, 2014): 210–28. http://dx.doi.org/10.1108/ci-03-2013-0016.
Abstract:
Purpose – The purpose of the research discussed in this paper is to ascertain the perception, from the project manager's viewpoint, of factors affecting construction productivity in the State of Queensland, Australia. Design/methodology/approach – The research was conducted by a structured questionnaire that was sent to 89 randomly selected construction project managers in Queensland, Australia. This questionnaire requested background information about the respondents and then sought a score, using a 0-4 Likert scale, from each of them with respect to the importance of 47 factors identified from the literature that were considered likely to affect construction productivity. The factors were stratified into primary factors and secondary factors contributing to three of the primary factors. There were 36 responses. These factors were rated by the respondents and then ranked using a relative importance index approach. Findings – The research evaluated the relative importance of the primary factors with respect to their effect on construction productivity. The 15 highest ranking factors are discussed. Three factors – rework, poor supervisor competency, and incomplete drawings – were ranked as having a strong effect on construction productivity. There was also an analysis of the secondary factors in relation to three of the primary factors. Research limitations/implications – The research focused on the State of Queensland in Australia. It had a response rate of 40 per cent. It provides insight into the factors affecting productivity on construction projects in Australia. Further research to investigate the identified factors in depth, using targeted interviews of expert project management professionals, is currently being undertaken. Practical implications – The construction industry can use the findings in this paper as a basis for improving the productivity of construction projects. Originality/value – This research is original research, which has highlighted a number of key areas of which construction productivity can be improved.
27
Watson, Michelle. "Concerns for Skills Shortages in the 21st Century: A Review into the Construction Industry, Australia." Construction Economics and Building 7, no. 1 (November 22, 2012): 45–54. http://dx.doi.org/10.5130/ajceb.v7i1.2977.
Abstract:
The Australian Construction Industry is now facing skills shortages in all trades. As an industry focused on the skill of its workforce, there is now concern the Australian standard in quality, workmanship, and productivity will inhibit both at national and international level.This research paper addresses the underlying, influential factors concerning skills shortages in the Australian construction industry. The influential factors addressed include funding, training statistics, employer expectations, financial limitations, Industrial Relations and immigration. Given the reference to skills shortages within the industry, and documented in related literature, if skills shortages are to continue to exist, their effect will impact upon the overall performance of construction companies throughout Australia.
28
Athanasopoulos, George, Haiyan Song, and Jonathan A. Sun. "Bagging in Tourism Demand Modeling and Forecasting." Journal of Travel Research 57, no. 1 (February 2, 2017): 52–68. http://dx.doi.org/10.1177/0047287516682871.
Abstract:
This study introduces bootstrap aggregation (bagging) in modeling and forecasting tourism demand. The aim is to improve the forecast accuracy of predictive regressions while considering fully automated variable selection processes which are particularly useful in industry applications. The procedures considered for variable selection is the general-to-specific (GETS) approach based on statistical inference and stepwise search procedures based on a measure of predictive accuracy (MPA). The evidence based on tourist arrivals from six source markets to Australia overwhelmingly suggests that bagging is effective for improving the forecasting accuracy of the models considered.
29
Denny-Smith, George, and Martin Loosemore. "Integrating Indigenous enterprises into the Australian construction industry." Engineering, Construction and Architectural Management 24, no. 5 (September 18, 2017): 788–808. http://dx.doi.org/10.1108/ecam-01-2016-0001.
Abstract:
Purpose The purpose of this paper is to explore the barriers to entry for Indigenous businesses into the Australian construction industry. Design/methodology/approach A national survey was conducted with 33 Indigenous businesses operating in the Australian construction industry. Findings The findings show that Indigenous enterprises face similar challenges to many small non-Indigenous enterprises wishing to enter the industry. These include adjusting to unique construction industry cultures and practices, breaking into existing business networks and building social capital and being under-cut by industry incumbents and competitors when tendering for projects. These barriers are similar to those faced by other non-Indigenous social enterprises, although Indigenous enterprises do appear to experience relatively greater difficulty in starting-up their businesses and in securing sufficient capital, finance and assistance to enable them to scale-up and tender for normal work packages at a competitive price. Research limitations/implications The results are limited to Australian Indigenous businesses. The survey does not allow a comparison of non-Indigenous and Indigenous businesses, although comparison of results with existing non-Indigenous research into small to medium-sized firms in construction does allow some tentative insights. These need to be explored further. Practical implications These results indicate that there are significant barriers to be addressed within the Australian construction industry if government indigenous procurement policies are to achieve their stated aims of increasing the number of Indigenous firms in the industry. The results also have important implications for Indigenous businesses and for non-Indigenous firms operating in the Australian construction industry. Social implications This is an important gap in knowledge to address if countries like Australia are to redress the significant inequalities in income and health suffered by Indigenous populations. Originality/value In countries like Australia, with significant Indigenous populations, governments are seeking to address persistent disadvantage by using new social procurement initiatives to create quasi construction markets for Indigenous enterprises to participate in the construction industry. While there is an emerging body of research into the barriers facing mainstream small to medium-sized enterprises and, to a lesser extent, social enterprises in construction, the barriers to entry facing Indigenous construction enterprises have been largely ignored.
30
Rahmani, Farshid, Malik M. A. Khalfan, and Tayyab Maqsood. "Lessons learnt from the use of relationship-based procurement methods in Australia: clients’ perspectives." Construction Economics and Building 16, no. 2 (June 13, 2016): 1–13. http://dx.doi.org/10.5130/ajceb.v16i2.4634.
Abstract:
This paper aims to review the use of various construction procurement systems and present the development of Relationship-Based Procurement (RBP) Methods currently in use within the Australian construction industry. Therefore, this paper provides the historical development of procurement briefly and then focuses on the adoption of Relationship-Based Procurement (RBP) approaches in the Australian construction industry to investigate the future direction of the collaborative project procurement arrangements. Semi-structured interviews with high-level managers in the Australian state government organizations have been conducted to answer the research question. A discussion has been presented about the potential future tendency of the industry in adopting a RBP. The findings suggest that even though relationship based procurement systems offer significant benefits; they are not popular among the public sector decision makers because of inability to demonstrate Value for Money (VfM) propositions for public projects. Other reasons which may cause a move away from using RBPs in the future include the need for managers to fully engage throughout the project, and the lack of collaborative environment within the construction industry in general.
31
Zavadskas, Edmundas Kazimieras, and Artūras Kaklauskas. "WORKING OUT A RATIONAL MODEL OF LITHUANIAN CONSTRUCTION INDUSTRY DEVELOPMENT." Journal of Business Economics and Management 6, no. 2 (June 30, 2005): 71–80. http://dx.doi.org/10.3846/16111699.2005.9636095.
Abstract:
The research aim was to develop a model for determining rational micro and macro‐level factors for the construction industry in Lithuania by undertaking a complex analysis of environment affecting it and to give recommendations on the increase of its competitive ability. In modelling and forecasting future perspectives and the main development trends of the Lithuanian construction industry, it is possible to be prepared for effective changes in environment. The analysis of construction industry in developed countries and Lithuania can allow identify areas where the situation in Lithuania is comparable, partly comparable with or quite different from the level attained by the above foreign countries. The data of this analysis can be used in identifying construction industry development trends in developed countries as well as providing some recommendations for Lithuania. Proposed model would be designed to give insights into the factors which affect the construction and which require effective management. In order to demonstrate the application of the above research to developing rational model of Lithuanian construction industry some recommendations for improving situation in Lithuanian construction are presented.
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Daniel, Luke. "Safety Leadership Defined within the Australian Construction Industry." Construction Economics and Building 15, no. 4 (November 23, 2015): 1–15. http://dx.doi.org/10.5130/ajceb.v15i4.4572.
Abstract:
This research explores the tenets of safety leadership within the Australian construction environment. The scope of this research aims to establish a universal definition of safety leadership and how it differs from other leadership disciplines. The literature review into this topic was governed by the parent disciplines of Safety and Leadership. Gaps were identified in the literature that indicated safety leadership is not a well-defined concept and much of the work into safety leadership has been borrowed from other schools of leadership. An exploratory research methodology was utilised which rooted the research into the post-positivist methodology. There were twenty interviews conducted for this research, with participants coming from various leadership positions across multiple construction projects around Australia. Findings detailed a saturation of data that allowed for an empirical definition towards safety leadership to be established. As a person’s scope of responsibility increases, their view of safety leadership becomes synonymous with leadership; although differences do exist. These differences were attributed to the importance of demonstrating safety and working within the legal framework of Australian construction projects. It is proposed that this research offers a substantial contribution to knowledge, based upon a well-defined definition into safety leadership.
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Jain, Sachin, and Milind T. Phadtare. "Influencers for Adoption of Robots in Indian Construction Industry." International Journal of Technology Diffusion 7, no. 2 (April 2016): 19–41. http://dx.doi.org/10.4018/ijtd.2016040102.
Abstract:
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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Mills, Anthony, Helen Lingard, Patricia McLaughlin, and Usha Iyer-Raniga. "Pathways to Industry: Work Practices of Undergraduate Students in Construction Programs in Australia." International Journal of Construction Education and Research 8, no. 3 (July 2012): 159–70. http://dx.doi.org/10.1080/15578771.2011.647246.
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Li, Shu Xia, and Shi Huan Qin. "Influence of High-Grade Highway Construction on Industry-Economic Belt in Heilongjiang Province." Advanced Engineering Forum 5 (July 2012): 111–17. http://dx.doi.org/10.4028/www.scientific.net/aef.5.111.
Abstract:
With the victory of “Three-year decisive battle”of road construction in Heilongjiang Province and the formation of high-grade highway network, high-grade highways gradually have profound effects on promoting economic and social development and enhancing the public life level, as well as meeting the traffic demands in Heilongjiang province. The influence of the highway construction on industrial-economic belt in Heilongjiang province was analyzed. As an example, by forecasting various index of Harbin-Daqing-Qiqihar Industrial Corridor, we confirmed that the construction of high-grade highways in Heilongjiang play positive roles in industrial-economic belt.
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KHANZADI, Mostafa, Ehsan ESHTEHARDIAN, and Mahdiyar MOKHLESPOUR ESFAHANI. "CASH FLOW FORECASTING WITH RISK CONSIDERATION USING BAYESIAN BELIEF NETWORKS (BBNS)." Journal of Civil Engineering and Management 23, no. 8 (November 20, 2017): 1045–59. http://dx.doi.org/10.3846/13923730.2017.1374303.
Abstract:
Cash-flow management is very important for contractors given that inadequate cash resources typically are the main causes for bankruptcy of construction companies. In comparison to most other industries, the construction industry is severely plagued by risk, and the success of construction projects usually depends on valuating all risks. However, conventional methods suggested by extant research on cash flow forecasting do not consider comprehensive identification of risk factors, interactions between the factors, and simultaneous occurrences of the factors. This study introduced a simple and appropriate probabilistic cash flow forecasting model using Bayesian Belief Networks (BBNs) to avoid bankruptcy of contractors by considering influence diagrams and risk factors that affect a project. Workability and reliability of the proposed approach was tested on an important building construction project in Iran as a real case study, and the results indicated that the model performed well.
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Everingham, Y. L., N. G. Inman-Bamber, P. J. Thorburn, and T. J. McNeill. "A Bayesian modelling approach for long lead sugarcane yield forecasts for the Australian sugar industry." Australian Journal of Agricultural Research 58, no. 2 (2007): 87. http://dx.doi.org/10.1071/ar05443.
Abstract:
For marketers, advance knowledge on sugarcane crop size permits more confidence in implementing forward selling, pricing, and logistics activities. In Australia, marketing plans tend to be initialised in December, approximately 7 months prior to commencement of the next harvest. Improved knowledge about crop size at such an early lead time allows marketers to develop and implement a more advanced marketing plan earlier in the season. Producing accurate crop size forecasts at such an early lead time is an on-going challenge for industry. Rather than trying to predict the exact size of the crop, a Bayesian discriminant analysis procedure was applied to determine the likelihood of a small, medium, or large crop across 4 major sugarcane-growing regions in Australia: Ingham, Ayr, Mackay, and Bundaberg. The Bayesian model considers simulated potential yields, climate forecasting indices, and the size of the crop from the previous year. Compared with the current industry approach, the discriminant procedure provided a substantial improvement for Ayr and a moderate improvement over current forecasting methods for the remaining regions, with the added advantage of providing probabilistic forecasts of crop categories.
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McGavin, Robert L., Tony Dakin, and Jon Shanks. "Mass-timber construction in Australia: Is CLT the only answer?" BioResources 15, no. 3 (May 1, 2020): 4642–45. http://dx.doi.org/10.15376/biores.15.3.4642-4645.
Abstract:
Wood-based mass-panels (WBMP) are emerging as an attractive construction product for large-scale residential and commercial construction. Australia is following the lead of Europe and North America with several recent projects being completed using predominately cross-laminated timber panels (CLT). These sawn timber-based panels offer some key advantages to the construction and sawmilling industry. However, veneer-based mass-panel (VBMP) systems could offer additional benefits including the more efficient use of the available forest resources to produce WBMPs that have equivalent to superior performance to CLT. Research to confirm the expected technical viability of veneer-based systems is required. VBMPs could provide a valuable contribution, alongside CLT, to the Australian timber products market.
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Hosseini, M. Reza, Nicholas Chileshe, and George Zillante. "Investigating the Factors Associated with Job Satisfaction of Construction Workers in South Australia." Construction Economics and Building 14, no. 3 (September 13, 2014): 1–17. http://dx.doi.org/10.5130/ajceb.v14i3.4154.
Abstract:
The purpose of this paper is twofold. Firstly, its aim is to ascertain the major aspects of job satisfaction for South Australian construction workers including the main ramifications of job satisfaction in the working environment. Secondly, it investigates the influence of key age-related factors i.e. chronological age, organisational age and length of service on major aspects of job satisfaction. The collected data for this study comprised 72 questionnaires completed by construction practitioners working at operational levels in the South Australian construction industry. Based on the responses from the target group, this study deduced that job dissatisfaction was predominantly related to the adverse impact on personal health and quality of life. In addition, indifference and the perception of dejection in the workplace are the main consequences of low levels of job satisfaction. Inferential analyses revealed that none of the age-related factors could significantly affect the major aspects of job satisfaction of construction workers in the South Australian context. The study concludes with providing practical suggestions for redesigning human resources practices for increasing the level of job satisfaction within the South Australian construction industry.Keywords: Job satisfaction, workers, age, construction industry, South Australia
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Chileshe, Nicholas, Raufdeen Rameezdeen, M. Reza Hosseini, Steffen Lehmann, and Chika Udeaja. "Analysis of reverse logistics implementation practices by South Australian construction organisations." International Journal of Operations & Production Management 36, no. 3 (March 7, 2016): 332–56. http://dx.doi.org/10.1108/ijopm-01-2014-0024.
Abstract:
Purpose – A large number of benefits have been reported when reverse logistics (RL) is fully implemented in the construction industry. However, RL is yet to become common place in the construction sector, particularly in Australia. The particular sub-sector in which RL operates is small and weak and the remainder of the sector must embrace and accommodate it comfortably. Research is lacking on how to promoting RL in the construction industry. Very little has been done to identify the current practices that have the potential to promote RL industry-wide. The purpose of this paper is to identify the practices that work well in the sector, a strategy could be mapped out to promote RL to all stakeholders. Design/methodology/approach – In order to fill the above gap, the present study used a mixed method approach to gather and evaluate current practices and their potential to promote RL in South Australia’s construction industry. Practices that were identified using a comprehensive literature review were evaluated with a questionnaire survey and series of interviews involving construction professionals. Findings – The findings are that practices facilitating deconstruction is the most important, followed by practices facilitating the use of salvaged materials in new construction to promote RL in South Australia. Awareness of deconstruction benefits, challenges and procedures at the organisation level and facilities and services at industry level were associated with RL implementation. Availability of salvaged materials in the market was found to influence its use in new construction and as a consequence its demand. Designing for reverse logistics is another practice that could facilitate deconstruction and the onus of its promotion lies mainly with the designers. Research limitations/implications – This research was confined to one state in Australia. As such the generalisation to other states and other countries should be treated cautiously. Practical implications – The findings of this study can help inform the industry and its stakeholders on areas that they need to concentrate more on to make the South Australian construction industry a fully RL integrated one. To that end the authors propose some recommendations arising from the findings reported here. Originality/value – This study makes a contribution to the body of knowledge on reserve logistics within a previously unexplored South Australian context. In addition, the study provides valuable insights into the contribution of RL practices to the construction industry.
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Radziszewski, Piotr, Joanicjusz Nazarko, Jan Król, Karol Kowalski, and Michał Sarnowski. "Forecasting development of road technology based on the Delphi method – selected issues." Budownictwo i Architektura 13, no. 4 (December 9, 2014): 215–24. http://dx.doi.org/10.35784/bud-arch.1819.
Abstract:
An objective of this research project is an analysis of development directions of new materials, technologies and pavement structures used in road industry, taking into account special environmental conditions and sustainable development rules. Results of the first round of conducted study based on the foresight method are described in this paper. Such results are helpful to provide support for making a long term strategy decisions by the government. Selected results and analysis in the scope of identification of the main research areas and hypothesis connected with developments of road technology are shown in this paper with a special focus on the construction of the durable pavements. It was found that the most important task is related to developments of the asphalt and cement pavements technology providing at least 30 years durability period. The construction of such pavements is possible only when high quality of work is provided and there is further road technology development as a result of the science and industry cooperation.
42
Liu, Shuan Xi, Wei Da He, Zhi Hao Liang, and Xiao Bing Cheng. "Research on Safety Levels in the Chinese Construction Materials Industry Based on Gray Model Forecasting." Applied Mechanics and Materials 738-739 (March 2015): 499–503. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.499.
Abstract:
This paper illustrated the Safety levels in the Chinese Construction Materials Industry (CMMI) during the Twelfth Five-Year Plan. By establishing gray system model, the index of CCMI, such as supply, demand, import, export, and so on, were forecasted. Based on the Index system of CCMI safety that is used to investigate the safety levels, these predicted data were analyzed. Our results show that there is a danger that CCMI safety will be reduced during the Twelfth Five-Year Plan, mainly because of overdependence on exports and lack of international competitiveness. Finally, the paper discusses how to improve CCMI safety during the Twelfth Five-Year Plan.
43
Võ, Viết Cường, Phuong Hoang Nguyen, Luan Le Duy Nguyen, and Van-Hung Pham. "Econometric Model for Forecasting Electricity Demand of Industry and Construction Sectors in Vietnam to 2030." Science & Technology Development Journal - Engineering and Technology 3, no. 1 (April 5, 2020): First. http://dx.doi.org/10.32508/stdjet.v3i1.646.
Abstract:
An accurate forecasting for long-term electricity demand makes a major role in the planning of the power system in any country. Vietnam is one of the most economically developing countries in the world, and its electricity demand has been increased dramatically high of about 15%/y for the last three decades. Contribution of industry and construction sectors in GDP has been increasing year by year, and are currently holding the leading position of largest consumers with more than 50% sharing in national electricity consumption proportion. How to estimate the electricity consumption of these sectors correctly makes a crucial contribution to the planning of the power system. This paper applies an econometric model with Cobb Douglas production function - a top-down method to forecast electricity demand of the industry and construction sectors in Vietnam to 2030. Four variables used are the value of the sectors in GDP, income per person, the proportion of electricity consumption of the sectors in total, and electric price. Forecasted results show that the proposed method has a quite low MAPE of 7.66% for long-term forecasting. Variable of electric price does not affect the demand. This is a very critical result of the study for authority governors in Vietnam. In the base scenario of the GDP and the income per person, the forecasted electricity demands of the sectors are 112,853 GWh, 172,691 GWh, and 242,027 GWh in 2020, 2025, 2030, respectively. In high scenario one, the demands are 115,947 GWh, 181,591 GWh, and 257,272 GWh, respectively. The above values in the high scenario are less than from 9.0% to 15.8 % of that of the based on in the Revised version of master plan N0. VII.
44
Short, J. R. "Construction Workers and the City: 1. Analysis." Environment and Planning A: Economy and Space 20, no. 6 (June 1988): 719–32. http://dx.doi.org/10.1068/a200719.
Abstract:
The aim in this paper is to highlight the importance of construction workers in the making of the built environment. After a discussion about the general nature of capital—labour relations in the construction industry, an example is taken of the recent history of the Builders' Labourers Federation of New South Wales, Australia. The impact of the union during the Sydney property boom of the 1970s is examined.
45
Eldejany, Raed. "Work Health and Safety in Small Business-A Pilot Study in the Australian Construction Industry." International Journal of Business Administration 9, no. 4 (June 13, 2018): 103. http://dx.doi.org/10.5430/ijba.v9n4p103.
Abstract:
Work accidents impacts negatively on the physical, mental and social welfare of employees, increase cost of production, and make firms less competitive. The construction industry in Australia consists of 96% small business and has the fifth largest incident rates of serious injury of all industries. Nevertheless, recent statistics by the Australian Bureau of Statistics show noticeable improvement in safety performance within the construction industry compared to previous years.This descriptive pilot study attempts to verify small business contribution to this recent improvement. Ten owner managers are surveyed in order to examine their commitment to work health and safety using a 34 self-completion questionnaire. The findings show that small business owners in the construction industry take a positive approach toward work health and safety in their work environment.This study represents only a snapshot of the reality of small construction business commitment to work health and safety in Australia and can’t be generalised to a wider population, therefore further research with larger samples is required to confirm the findings of this study.
46
Khalfan, Malik M. A., and Tayyab Maqsood. "Current State of Off-Site Manufacturing in Australian and Chinese Residential Construction." Journal of Construction Engineering 2014 (September 25, 2014): 1–5. http://dx.doi.org/10.1155/2014/164863.
Abstract:
Many techniques have been implemented to make construction industry more productive. The key focus is on reduction of total duration, reduction in construction cost, improvements in the quality, achieving more sustainable development, and safer construction sites. One of the techniques, which is emerging in the last two decades, is the use of off-site manufacturing (OSM) within the construction industry. Several research projects and industry initiatives have reported the benefits and challenges of implementation of OSM. The focus of this paper is Australian and Chinese residential construction industry and the uptake of the OSM concepts. The paper presents a brief review of the current state of OSM in the last five to seven years with the context of the above-mentioned two countries. The paper concludes that the construction industry, both in Australia and China, needs to start walking the talk with regard to OSM adoption. The paper also highlights some of the research gaps in the OSM area, especially within the housing and residential sector.
47
Sundqvist, Jan, Bengt Larsson, and Goran Lindahl. "Cooperation in the Building Sector between Building Material Manufacturers and Contractors to Develop Products." Construction Economics and Building 7, no. 2 (November 23, 2012): 45–53. http://dx.doi.org/10.5130/ajceb.v7i2.2990.
Abstract:
The Australian Construction Industry is nowfacing skills shortages in all trades. As anindustry focused on the skill of its workforce,there is now concern the Australian standard inquality, workmanship, and productivity will inhibitboth at national and international level.This research paper addresses the underlying,influential factors concerning skills shortages inthe Australian construction industry. Theinfluential factors addressed include funding,training statistics, employer expectations,financial limitations, Industrial Relations andimmigration. Given the reference to skillsshortages within the industry, and documented inrelated literature, if skills shortages are tocontinue to exist, their effect will impact upon theoverall performance of construction companiesthroughout Australia.
48
JIANG, Heng, and Chunlu LIU. "IDENTIFYING DETERMINANTS OF DEMAND FOR CONSTRUCTION USING AN ECONOMETRIC APPROACH." International Journal of Strategic Property Management 19, no. 4 (December 23, 2015): 346–57. http://dx.doi.org/10.3846/1648715x.2015.1072856.
Abstract:
Economic variation and its effects on construction demand have received a great deal of attention in construction economics studies. An understanding of future trends in demand for construction could influence investment strategies for a variety of parties, including construction developers, suppliers, property investors and financial institutions. This paper derives the determinants of demand for construction in Australia using an econometric approach to identify and evaluate economic indicators that affect construction demand. The forecasting contribution of different determinants of economic indicators and their categories to the demand for construction are further estimated. The results of this empirical study suggest that changes in consumer's expectation, income and production, and demography and labour force are closely correlated with the movement of construction demand; and 14 economic indicators are identified as the determinants for construction demand. It was found that the changes in construction price, national income, size of population, unemployment rate, value or export, household expenditure and interest rates play key roles in explaining future variations in the demand for construction in Australia. Some “popular” macroeconomic indicators, such as GDP, established house price and bank loans produced inconclusive results.
49
Paytyan, Karen. "Development of Forecasting Models Suitable for Metal Trading Companies." Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika, no. 4 (February 2021): 99–109. http://dx.doi.org/10.15688/ek.jvolsu.2020.4.9.
Abstract:
The volume of world metal consumption is one of the main indicators of the state of economy as a whole. This is explained by the fact that such an industry as construction presents a great demand for these products. At the same time, the volume of construction is growing along with the economy growth, because a healthy market attracts more investment. Therefore, the state of the global metal market is one of the indicators of the state of the global economy as a whole, and the challenges facing this industry are relevant for the entire world market. One of them is forecasting metal prices to make right business decisions. The article presents a practical task that shows the need for forecasting. At the next step, the author developed a criterion for the quality of forecasting, if satisfied, we can talk about the applicability of the model in practice. On a randomly selected time interval, the quality of common statistical forecasting models, such as the pair regression equation and linear models, is analyzed. New models have also been developed that are based both on a technical analysis of exchange quotations of metal prices and on a fundamental one. At the final step, the results of all the models presented in the work were compared with the criterion of applicability developed in practice by the author and the most promising of them were selected.
50
Volkov, V., and L. Horoshkova. "MANAGEMENT OF LEAN MINING AND USE OF MINERAL RESOURCES OF UKRAINE." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 3 (82) (2018): 60–65. http://dx.doi.org/10.17721/1728-2713.82.08.
Abstract:
The article proposes a patent protected proprietary technique for managing lean mining and use of mineral resources of Ukraine on the example of non-metallic minerals for construction. Proposed solution of the problem on the basis of the technological relationship between the production processes and the lean use of production products with forecasting the development of the extractive industry is new. Ukraine has significant reserves of rocks suitable for mining of building stone, construction sands and expanded clay. Analysis of official statistics on the volume of mining of construction stone, construction sand and expanded clay showed that over the analyzed period, which was 12 years, there were fluctuations in both the volume of production and the rate of their growth. Approximation and smoothing of rates of growth of volumes of extraction of the investigated nonmetallic minerals for construction of a polynomial function with use of a trend line is carried out. The analysis of the obtained results showed that the fluctuations of the investigated indicators of extraction of nonmetallic minerals for construction have a periodic, cyclical nature, correlate with each other and are related to the general economic state of the construction industry and the country. It is proved that it is possible to solve the problem of lean use of minerals by more balanced extraction of minerals, namely, establishing a correlation between extraction and use volumes. To predict the development of the industry, the author suggests using multifactorial economic and mathematical model for forecasting the development of complex systems. It is proved that such a model will allow controlling the volumes of mining of technologically related minerals in interdependence on the volumes of their use.