Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Benchmarking
- 2.2Quality Prediction Parameters in Building Maintenance Works
- 2.3Importance of Multivariate Approach in Benchmarking
- 2.4Previous Studies on Quality Prediction in Building Maintenance
- 2.5Factors Influencing Building Maintenance Quality
- 2.6Techniques for Benchmarking Quality Prediction Parameters
- 2.7Challenges in Benchmarking Quality Prediction Parameters
- 2.8Best Practices in Benchmarking Quality Prediction
- 2.9Technology and Tools for Benchmarking
- 2.10Future Trends in Benchmarking Quality Prediction
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Methodology Overview
- 3.2Research Design and Approach
- 3.3Data Collection Methods
- 3.4Sampling Techniques
- 3.5Data Analysis Methods
- 3.6Validity and Reliability Measures
- 3.7Ethical Considerations
- 3.8Limitations of the Methodology
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Analysis of Quality Prediction Parameters
- 4.2Multivariate Approach in Data Interpretation
- 4.3Comparison of Benchmarking Techniques
- 4.4Case Studies on Building Maintenance Quality
- 4.5Discussion on Factors Influencing Quality Prediction
- 4.6Implications for Building Maintenance Industry
- 4.7Recommendations for Improving Quality Prediction
- 4.8Future Research Directions
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions
- 5.3Contributions to Knowledge
- 5.4Practical Implications
- 5.5Recommendations for Practice
- 5.6Areas for Future Research
- 5.7Conclusion and Final Remarks
Project Abstract
<p> <b>ABSTARCT</b></p><p>Observing quality etiquette on maintenance work is of essence when satisfying clients’ requirement is a priority. However, the quality etiquette comes in the form of framework and benchmarks. This study has therefore presented succinctly, multivariate approach to benchmarking quality prediction parameters in building maintenance works. The study used sixty-three (63) questionnaires retrieved which contains information on benchmarked parameters. The study used factor analysis to reduce the parameters to a sizeable number based on their coefficient and Eigen value. Resultant factors were used to dissect quality into quality dichotomies; the zero defect, medium quality and high quality work status. The model would assist building maintenance practitioners in quality monitoring on building maintenance works. Key words Benchmark, Quality, Multi-variable, Rotation, Prediction. <br></p>
Project Overview
<p><b>INTRODUCTION </b></p><p>
Quality system formulating and compliance enforcement at all facets of works in construction industry have
been areas with increased attention worldwide, over the decades. This has resulted in the awareness about
finished products quality assurance in the construction industry, the kind that provides clients’ satisfaction and
value on money invested (Chan & Tan, 2009; Roston and Amer 2006). Quality issues often arise from clients’
needs and specification, these often formed the basis of supervision as work progresses on construction sites
(Lings, 2005; Bamisile, 2004). Likewise, clause on compliance with specified quality standard is often stated in
building projects’ contract documents, commencing from brief stage to project commission stage, which has in
no way different from other sectors of the economy. This fact has therefore turned formulating quality policy
statement to a global best practice. However, certain school of thought believes quality to be work-state
dependent, that quality can be described as conformity with specified instructions as project progresses.
Bamisile (2004) and Oakland (1984) submitted that quality is fulfillment of specified requirements. Another
school of thought viewed quality from fitness for purpose point of view, that quality can be termed item of work
that is rightly formed to perform intended purpose (Chan & Tam, 2000). Similarly, in another submission,
quality can be seen from the perspective of agreement between goal, clients and builder (Fan 1999; Abdel-Rasek
et al; 2001).
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However, non alignment with the goals in facilities maintenance that formed the direction through which various
plans and strategy should be driven could be linked to various failures often recorded in building maintenance
sector. Huge monetary resource goes into maintenance annually without lasting solution proffered, which is
often revealed through reworks. This trend however could be attributed to absence of standard procedure to be
followed in facility maintenance. To this end this study is set at developing a model for parameter that should be
follow to ensure quality maintenance work in Nigeria. sThere are institutions responsible for enforcement of
standard and procedure, such as Standard Organization of Nigeria (SON), British Standard Institutions (BSI) in
Great Britain including International Organization for Standardization ISO. BSI in 1979 issued BS 5750
‘Quality system’ ISO rolled out, ISO 9000 in 1987, all these are quality documents. Oladokun and Adegbenjo
(2008) submitted that standard Organization of Nigeria officially adopted ISO 9000 for quality management in
Nigeria, and since then widely publicized training workshop had been staged in an attempt to create awareness.
The structure and component of the ISO 9000 did not adequately provide framework to address detail aspect of
quality problem in construction industry. However, introduction of National Building code in August 2006
provided a silver lining out of the cloud of the problem, by providing a conceptual framework upon which
quality issues in building maintenance works can be based. Since then, there has been no attempt at modeling
the concept mathematically, which could provide a platform for further development and research, in aspect of
quality monitoring in facility maintenance in Nigeria. To this end therefore, this study is set at developing a
model of parameters that could be used as working guide in ensuring quality of facility maintenance operations,
and a real improvement in maintenance sector of Nigerian Construction Industry.
<br></p><p><b>REVIEW OF RELATED WORKS</b></p><p> A number of researches have been carried out in the direction of finding out detail about factors affecting quality
of works in built environment and generating model to describe related assumptions. Ling (1990) developed
quality assurance procedures manual, which summarizes essential tips in quality assurance in construction works.
Amusan et al; (2012a) described the role of building material manufacturers in quality assurance in building; the
study identified the unethical practices in the construction industry in relation with effect on quality and safety.
Similarly, Cham and Tam (2000) produced a model containing 77 sub-factors from six main factors in predicting
quality performance of building projects in Hong Kong. Furthermore, Oladokun and Adelakun (2008) Amusan
et al; (2012b) generated a quality model that attempt at describing existing relationship among project
parameters, it states that: Quality = 5.20 + 0.50 (project management) action of project team) + 0.80
(effectiveness of the construction team leader) + 0.30 (client emphasis on time). In El-Dosouky and Sulaiman
(2001), a model based on average weighted score of site staff, project execution, site layout, subcontractor,
equipment, labor material, contract and design was generated. This generated model was described as suitable
for use on Egyptian construction projects. A model for predicting quality of building projects in Singapore was
developed by Ling (2005). The study suggested parameters that could be used in enforcing quality in building
projects; it also identified the variables that affect quality scores of project in Singapore projects such as design -
bid- build (DBB) and design build (DB) project. Lastly, Rustom and Amer (2006) modeled factors affecting
quality of works in Gaza strip, using two different perspectives (i) Stepwise multiple regression analysis and
factor analysis.
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