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  • 1
    Electronic Resource
    Electronic Resource
    Stress and Enhanced Dopamine Utilization in the Frontal Cortex: The Myth and the Reality (1988)
    Oxford, UK : Blackwell Publishing Ltd
    Annals of the New York Academy of Sciences 537 (1988), S. 0 
    Details
    ISSN: 1749-6632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Natural Sciences in General
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1749-6632.1988.tb42112.x
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  • 2
    Electronic Resource
    Electronic Resource
    Triphosphopyridine nucleotide specific isocitrate dehydrogenase from Azotobacter vinelandii. Alkylation of a specific methionine residue and amino acid sequence of the peptide containing this residue (1974)
    s.l. : American Chemical Society
    Biochemistry 13 (1974), S. 677-683 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00701a007
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  • 3
    Electronic Resource
    Electronic Resource
    Total quality management in Australian contracting organisations: pre-conditions for successful implementation (2004)
    Oxford : Emerald
    Engineering, construction and architectural management 11 (2004), S. 189-198 
    Details
    ISSN: 1365-232X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Total quality management (TQM) is widely recognised as an enabler for performance improvement in the construction industry. This paper presents empirical findings from eight contracting organisations that have adopted TQM practices in response to competitive and environmental pressures. Using the NIES "How To" model developed by the Australian Government's National Industry Extension Scheme, the paper describes pragmatic considerations. Case study findings reveal that when implementing TQM, contractors must align their organisational culture with the objectives of their TQM program.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/09699980410535796
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  • 4
    Electronic Resource
    Electronic Resource
    Determinants of rework in building construction projects (2004)
    Oxford : Emerald
    Engineering, construction and architectural management 11 (2004), S. 259-274 
    Details
    ISSN: 1365-232X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Rework represents the unnecessary effort of redoing a process or activity that is incorrectly implemented the first time. Using a structured questionnaire survey, the causes and costs of rework in 161 Australian construction projects were identified. Respondents were invited to indicate direct and indirect rework costs that would be subsequently combined to produce a total rework cost (TRC) figure. Stepwise linear multiple regression analysis was then used to determine a model that included an optimum mixture of significant variables that contributed or lead to a reduction in TRC for the projects sampled. The research revealed that rework per se can negatively influence project safety. Client initiated changes and ineffective use of information technology by the design professionals were identified as being significant variables contributing to rework occurrence. Contrary to an earlier presupposition, design scope freezing was also identified as being a significant factor that can contribute to rework.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/09699980410547612
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  • 5
    Electronic Resource
    Electronic Resource
    Taking the pulse of UK construction project managers' health: Influence of job demands, job control and social support on psychological wellbeing (2005)
    Oxford : Emerald
    Engineering, construction and architectural management 12 (2005), S. 88-101 
    Details
    ISSN: 1365-232X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Purpose - In this paper the predictive capabilities of the full job strain model (JSM) for construction project managers is examined. The principal aim of the work is to determine whether employees' psychological wellbeing in terms of worker health and job satisfaction can be reliably predicted. Design/methodology/approach - The full JSM is tested by investigating perceived work demands, job control and social support. The predictive capability of the full JSM (which encompasses job demands, job control and social support) is applied to a sample of construction project managers from the UK. Findings - The analysis of the results indicates that the JSM can significantly predict employees' psychological wellbeing in terms of worker health and job satisfaction among the construction project managers sampled. A key finding was that social support had significant (p〈0.0001) main effects on psychological wellbeing. Contrary to previous research, however, non-work-related support was found to be more significant than work support in alleviating psychological strain. Research limitations/implications - A model that incorporates a wider range of variables should be developed to account for the variance in strain between different roles that construction project managers adopt within an organisation and projects so they can be useful for job design. Originality/value - For the specific sample, the JSM captured the key characteristics that contributed to the job strain that they experienced. With the exception of non-work-related social support, the results support previous studies that examined the predictive capacity of the JSM.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/09699980510576916
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  • 6
    Electronic Resource
    Electronic Resource
    A linear programming decision tool for selecting the optimum excavator (2001)
    Bingley : Emerald
    Structural survey 19 (2001), S. 113-120 
    Details
    ISSN: 0263-080X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Previous methods have been developed to predict tracked hydraulic excavator output and associated costs of production, but these fail to provide a "complete" solution to the plant productivity problem. That is, when hiring or purchasing machines plant managers are not normally provided with sufficient detail to optimise the plant selection decision process. The crux of this problem is to choose an appropriate plant item from the vast range available. This paper contributes to resolving this selection process through the application of an optimisation technique, based on linear programming. Specifically, a decision tool for selecting the optimum excavator type for given production scenarios is presented. In achieving this aim, a mass excavation task was specified as the principal decision criterion. Production output and machine hire costs were predicted using both multivariate and bivariate regression models. The decision tool performed well during testing and therefore exhibits significant potential for use by practitioners. The paper concludes with direction for future research work; concentrating on development of a software package for accurately predicting productivity rates and assisting in the plant selection process.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/EUM0000000005628
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  • 7
    Electronic Resource
    Electronic Resource
    Predictive maintenance techniques and their relevance to construction plant (1998)
    Bingley : Emerald
    Journal of quality in maintenance engineering 4 (1998), S. 25-37 
    Details
    ISSN: 1355-2511
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Technology , Economics
    Notes: The construction industry relies increasingly on profits generated from high utilisation of mechanisation. Interruption of this mechanical supply not only incurs the "tangible" costs of labour, replacement parts and consumables, but also the less tangible costs of delays to contract, possible loss of client goodwill and ultimately, loss of profit. Cumulative costs associated with plant breakdown are therefore significant. Predictive maintenance (PM) techniques have evolved to keep a check on mechanical health, by generating information on machine condition. Such data allow just in time maintenance to be conducted. However, recent developments have witnessed an increased interest in determining "root cause" of failure as opposed to monitoring the time to breakdown once the wear process has begun. This paper reviews condition based monitoring (CBM) technologies and introduces the evolving concept of root cause analysis. Both these could have particular relevance to construction plant and equipment. In summary, the paper presents initial findings of ongoing research, which is the development of a model for predicting construction plant and equipment breakdown.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/13552519810369057
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  • 8
    Electronic Resource
    Electronic Resource
    Maintenance skills training of UK construction plant operatives: a pilot survey (2002)
    Bingley : Emerald
    Structural survey 20 (2002), S. 22-30 
    Details
    ISSN: 0263-080X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Architecture, Civil Engineering, Surveying
    Notes: Conducts an in-depth examination of the current Certification of Training Achievement (CTA) scheme and critically appraises the role of construction plant operatives within the UK construction industry. Reveals a cacophony of practitioner disapproval of the CTA scheme and the Intermediate Construction Certificate (ICC) route towards attaining the National Vocational Qualification/Scottish Vocational Qualification (NVQ/SVQ) standard.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/02630800210426231
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  • 9
    Electronic Resource
    Electronic Resource
    A forensic examination of the causal mechanisms of rework in a structural steel supply chain (2005)
    Bingley : Emerald
    Managerial auditing journal 20 (2005), S. 187-197 
    Details
    ISSN: 0268-6902
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Economics
    Notes: Purpose - This paper aims to take a forensic approach to identify the causal mechanisms of rework in a structural steel supply chain. Rework is an area that has received limited attention, yet it is a major contributor to time and cost overruns in projects. Design/methodology/approach - The research uses an interpretative case study approach to gain an understanding about how and why rework occurred. To determine the causal variables of rework the traditional scientific concept of causality founded on the mono-causal model in the physical and biological sciences was subject to subtle changes, and adapted to a social context as construction projects are essentially complex social systems. In this instance causality was not considered to be linear, proportional or incremental, but multi-dimensional whereby each factor is interrelated and multi-causal in nature. Findings - The findings reveal that the cause of rework in this case was poor information flow and the absence of a quality focus. This was exacerbated by the sequential procurement process and fixed power structure of the contract, and as a consequence poor decision-making, communication, integration and co-ordination were experienced. Practical implications - The research has highlighted the need to re-design the structure of supply chains in construction projects, especially if information and communication technologies are to be effectively used. A conceptual model was developed from the case study findings to illustrate the interconnectedness of factors affecting rework. This model can be used by organisations for reducing the incidence of rework. Originality/value - The research has identified key variables that can contribute to the incidence of rework in projects. A pragmatic model for reducing the incidence of rework is proposed. The model that is propagated will be of use to practitioners and researchers working within project environments.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/02686900510574593
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  • 10
    Electronic Resource
    Electronic Resource
    An artificial intelligence approach for improving plant operator maintenance proficiency (2002)
    Bingley : Emerald
    Journal of quality in maintenance engineering 8 (2002), S. 239-252 
    Details
    ISSN: 1355-2511
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Technology , Economics
    Notes: Construction plant maintenance practice and its plant operators are inextricably linked. This is because, unlike plant operating within the manufacturing sector, construction plant is largely dependent upon operator skill and competence to maintain the item in a safe, fully operational condition. Research has previously successfully modelled machine breakdown, but revealed that the operator's impact upon machine breakdown rates can be considerable. A conceptual model methodology with which to assess the maintenance proficiency of individual plant operators is presented. Specifically, an artificial intelligent classification model is proposed as a means of classifying plant operator maintenance proficiency into one of three bandings. These are good, average and poor. The results of such work will form the basis of new prescriptive guidelines, for incorporation into the new certificate of training achievement (CTA) scheme, available to inexperienced construction plant operators. The paper concludes with an indication of the palpable benefits of such research, to plant owners and the construction industry at large.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1108/13552510210439810
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