Assessing the Effect of Quality Based Factors on the Compliance Level of Quality Control and Concrete Waste Management in Buildings Construction-Case Study of Kenya
International Journal of Civil Engineering |
© 2024 by SSRG - IJCE Journal |
Volume 11 Issue 3 |
Year of Publication : 2024 |
Authors : Denic Mugambi Njeru, Kennedy Aburili, Charles Cheruiyot |
How to Cite?
Denic Mugambi Njeru, Kennedy Aburili, Charles Cheruiyot, "Assessing the Effect of Quality Based Factors on the Compliance Level of Quality Control and Concrete Waste Management in Buildings Construction-Case Study of Kenya," SSRG International Journal of Civil Engineering, vol. 11, no. 3, pp. 12-29, 2024. Crossref, https://doi.org/10.14445/23488352/IJCE-V11I3P102
Abstract:
Low compliance with quality control practices has resulted in more buildings collapsing during or shortly after construction and increased demolitions across the Kenyan construction industry. This has increased the concrete waste generation rate, and project cost overrun. Improved solid waste generation from construction has deemed existing waste management frameworks ineffective in curbing the amount of waste generated. Concrete solid waste dominates construction and demolition waste, demanding exploration of viable methods to reduce or prevent its generation, given that concrete is among the most utilized construction materials with both cost and environmental impacts. The study used a cross-sectional descriptive survey to evaluate the effect of quality control-related factors on the quality control and concrete waste management level of compliance. Qualitative and quantitative data were collected through questionnaires, on-site observation checklists, interviews with construction professionals, and reviewing relevant documents and records. Descriptive statistics and inferential statistical analysis were used to analyze the data. The potential influence level of quality factors evaluated was high, with post-cast, formwork, and pre-finish quality factors statistically significant in causing concrete waste generation and with their frequent occurrence affecting the level of compliance negatively. The researcher recommends that building contractors employ a quality control-based approach to managing resources to reduce or prevent waste. The study results can be implemented by enforcing the inclusivity of this approach by contractors while submitting their compliance reports to environmental regulatory bodies assessing waste management compliance.
Keywords:
Compliance level, Concrete waste, Management, Quality control, Quality factors.
References:
[1] Afroza Bulbul Afrin et al., “A New Model of Continuous Improvement in Total Quality Management from an Islamic Perspective,” The Asian Academy of Management Journal, vol. 24, no. 1, pp. 129-149, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Ali Akhtar, and Ajit K. Sarmah, “Construction and Demolition Waste Generation and Properties of Recycled Aggregate Concrete: A Global Perspective,” Journal of Cleaner Production, vol. 186, pp. 262-281, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Mariam Akinlolu, Ruben Ndihokubwayo, and Fredrick Simpeh, “TQM Implementation Challenges: A Case Study of a Building Maintenance Department of an Institution of Higher Learning,” International Journal of Productivity and Quality Management, vol. 29, no. 3, pp. 355-371, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Jassim Mohammed Abd Al-Waeli, Sura Kareem Ali Alobaidi, and Athraa Hashim Mohammed, “Using Geographic Information Systems (GIS) Program and Water Quality Index (WQI) to Assess and Manage Groundwater Quality in the City of Baghdad,” Journal of Engineering, vol. 27, no. 3, pp. 93-112, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Rex P. Bringula et al., “School Choice of Computing Students: A Comparative Perspective from Two Universities,” Creative Education, vol. 3, no. 6A, pp. 1070-1078, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Alison J. Burnham, John F. MacGregor, and Roman Viveros, “Interpretation of Regression Coefficients under a Latent Variable Regression Model,” Journal of Chemometrics, vol. 15, no. 4, pp. 265-284, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Aline L. Camargo et al., “10.22: Comparing the Fire Behaviour of Composite Columns Made with Concrete Filled Double-Skin and DoubleTube Steel Sections,” ce/Papers Proceedings in Civil Engineering, vol. 1, no. 2-3, pp. 2708-2715, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[8] A. Colin Cameron, and Frank A.G. Windmeijer, “An R-Squared Measure of Goodness of Fit for some Common Nonlinear Regression Models,” Journal of Econometrics, vol. 77, no. 2, pp. 329-342, 1997.
[CrossRef] [Google Scholar] [Publisher Link]
[9] J.M. Cortina, “What is Coefficient Alpha? An Examination of Theory and Applications,” Journal of Applied Psychology, vol. 78, no. 1, pp. 98-104, 1993.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Daniel J. Denis, “The Origins of Correlation and Regression: Francis Galton or Auguste Bravais and the Error Theorists?,” History and Philosophy of Psychology Bulletin, vol. 13, no. 2, pp. 36-44, 2001.
[Google Scholar] [Publisher Link]
[11] Carlos T. Formoso et al., “Material Waste in Building Industry: Main Causes and Prevention,” Journal of Construction Engineering and Management, vol. 128, no. 4, pp. 316-325, 2002.
[CrossRef] [Google Scholar] [Publisher Link]
[12] David Gitau, “Construction Waste Management Practices and Performance of Housing and Water Projects in Nairobi City County, Kenya,” Doctoral dissertation and Thesis, Kenyatta University, Kenya, 2018.
[Google Scholar] [Publisher Link]
[13] Global Cement and Concrete Association, “Sustainable Building Materials: Facts & Fairness,” Technical Report, GGCA, 2020.
[Publisher Link]
[14] Global Data Report Store, Kenya Construction Market Size, Trend Analysis by Sector, Competitive Landscape and Forecast to 2027, 2023. [Online]. Available: https://www.globaldata.com/store/report/kenya-construction-market-analysis-2/
[15] N.J. Gogtay, and U.M. Thatte, “Principles of Correlation Analysis,” Journal of the Association of Physicians of India, vol. 65, no. 3, pp. 78-81, 2017.
[Google Scholar] [Publisher Link]
[16] Fred S. Guthery, and Ralph L. Bingham, “A Primer on Interpreting Regression Models,” The Journal of Wildlife Management, vol. 71, no. 3, pp. 684-692, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Joseph Franklin Hair et al., Multivariate Data Analysis: A Global Perspective, Pearson Education, pp. 1-800, 2009.
[Google Scholar] [Publisher Link]
[18] Petr Hájek, Ctislav Fiala, and Magdaléna KynĨlová, “Life Cycle Assessments of Concrete Structures-A Step towards Environmental Savings,” Structural Concrete, vol. 12, no. 1, pp. 13-22, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Muhammad Hamid, “Optimization of Reinforced Concrete Floor Systems,” Proceedings of the 1st International Conference on Recent Advances in Civil and Earthquake Engineering, Peshawar, Pakistan, pp. 358-390, 2021.
[Google Scholar]
[20] Andrew F. Hayes, Carroll J. Glynn, and Michael E. Huge, “Cautions Regarding the Interpretation of Regression Coefficients and Hypothesis Tests in Linear Models with Interactions,” Communication Methods and Measures, vol. 6, no. 1, pp. 1-11, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Jia He, and Jing Wu, “Doing Well by Doing Good? The Case of Housing Construction Quality in China,” Regional Science and Urban Economics, vol. 57, pp. 46-53, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Shivani Horke, Manisha Waje, and Rupali Patil, “Performance Analysis of Reversible Logic-Based Full Adder Using BSIM4 Model,” Computing in Engineering and Technology, pp. 659-665, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Md. Uzzal Hossain, Zezhou Wu, and Chi Sun Poon, “Comparative Environmental Evaluation of Construction Waste Management through Different Waste Sorting Systems in Hong Kong,” Waste Management, vol. 69, pp. 325-335, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Asif Husain, and Majid Matouq Assas, “Utilization of Demolished Concrete Waste for New Construction,” International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering, vol. 7, no. 1, pp. 37-42, 2013.
[Google Scholar]
[25] Roseline Ikau, Corina Joseph, and Rudy Tawie, “Factors Influencing Waste Generation in the Construction Industry in Malaysia,” Procedia-Social and Behavioural Sciences, vol. 234, pp. 11-18, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Luai Jraisat, Lana Jreisat, and Christine Hattar, “Quality in Construction Management: An Exploratory Study,” International Journal of Quality & Reliability Management, vol. 33, no. 7, pp 920-941, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Maithulia Charles Kanyithia, “Assessment of Quality Control Practices for In-Situ Concrete: Case Study of Nairobi City County,” Doctoral Dissertation and Thesis, University of Nairobi, Kenya, 2020.
[Google Scholar] [Publisher Link]
[28] Kenya National Bureau of Statistics, “Economic Survey 2017,” Technical Report, Kenya National Bureau of Statistics, 2017.
[Publisher Link]
[29] Tareq Khaleel, and Ahmed Al-Zubaidy, “Major Factors Contributing to the Construction Waste Generation in Building Projects of Iraq,” MATEC Web of Conferences, vol. 162, pp. 1-6, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Airat Khuzin, and Alena Sharavina, “Ways to Improve the Quality of Monolithic Reinforced Concrete Structures,” IOP Conference Series: Materials Science and Engineering, vol. 890, no. 1, pp. 1-9, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Tae Kyun Kim, “T Test as a Parametric Statistic,” Korean Journal of Anaesthesiology, vol. 68, no. 6, pp. 540-546, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Kamal Kishore, Vidushi Jaswal, and Rahul Mahajan, “The Challenges of Interpreting ANOVA by Dermatologists,” Indian Dermatology Online Journal, vol. 13, no.1, pp. 109-113, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Jingru Li et al., “A Model for Estimating Construction Waste Generation Index for Building Project in China,” Resources, Conservation and Recycling, vol. 74, pp. 20-26, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Chakkrit Luangcharoenrat et al., “Factors Influencing Construction Waste Generation in Building Construction: Thailand’s Perspective,” Sustainability, vol. 11, no. 13, pp. 1-17, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Nokulunga Mashwama, Clinton Aigbavboa, and Didi Thwala, “An Assessment of the Critical Success Factor for the Reduction of Cost of Poor Quality in Construction Projects in Swaziland,” Procedia Engineering, vol. 196, pp. 447-453, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Richard P. Mbote, and Micah Makworo, “Causes and Minimization of Material Waste in Construction of Residential Buildings in Northern Nairobi,” International Journal of Engineering Research & Technology, vol. 7, no. 8, pp. 180-187, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Michele J. McIntosh, and Janice M. Morse, “Situating and Constructing Diversity in Semi-Structured Interviews,” Global Qualitative Nursing Research, vol. 2, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Prabhaker Mishra et al., “Application of Student’s t-Test, Analysis of Variance, and Covariance,” Annals of Cardiac Anaesthesia, vol. 22, no. 4, pp. 407-411, 2019.
[Google Scholar] [Publisher Link]
[39] S.N. Mokhtar et al., “Factors that Contribute to the Generation of Construction Waste at Sites,” Advanced Materials Research, vol. 163, pp. 4501-4507, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[40] L. Muhwezi, L.M. Chamuriho, and N.M. Lema, “An Investigation into Materials Wastes on Building Construction Projects in KampalaUganda,” Scholarly Journal of Engineering Research, vol. 1, no. 1, pp. 11-18, 2012.
[Google Scholar]
[41] Sasitharan Nagapan, Ismail Abdul Rahman, and Ade Asmi, “Factors Contributing to Physical and Non-Physical Waste Generation in Construction Industry,” International Journal of Advances in Applied Sciences, vol. 1, no. 1, pp. 1-10, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Mihirkumar B. Naik, and Hiren A. Rathod, “A Review on Innovating Formwork Systems,” International Journal of Advanced Research in Engineering, Science & Management, vol. 1, no. 6, pp. 1-8, 2015.
[Google Scholar]
[43] Yan Ning, and Shang Gao, “A Resilience Framework to Explorative Quality Management in Innovative Building Projects,” Journal of Engineering and Technology Management, vol. 62, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Simon Ntumi, “Reporting and Interpreting One-Way Analysis of Variance (ANOVA) Using a Data-Driven Example: A Practical Guide for Social Science Researchers,” Journal of Research in Educational Sciences, vol. 12, no. 14, pp. 38-47, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Peterson K. Ozili, The Acceptable R-square in Empirical Modelling for Social Science Research, Social Research Methodology and Publishing Results: A Guide to Non-Native English Speakers, IGI Global, pp. 134-143, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Sandip P. Pawar, and P.M. Atterde, “Comparative Analysis of Formwork in Multi-Storey Building,” International Journal of Research in Engineering and Technology, vol. 3, no. 9, pp. 22-24, 2014.
[CrossRef] [Publisher Link]
[47] Nornadiah Mohd Razali, and Yap Bee Wah, “Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and AndersonDarling Tests,” Journal of Statistical Modelling and Analytics, vol. 2, no. 1, pp. 21-33, 2011.
[Google Scholar]
[48] Steven F. Sawyer, “Analysis of Variance: The Fundamental Concepts,” Journal of Manual & Manipulative Therapy, vol. 17, no. 2, pp. 27E-38E, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Patrick Schober, Christa Boer, and Lothar A. Schwarte, “Correlation Coefficients: Appropriate Use and Interpretation,” Anaesthesia & Analgesia, vol. 126, no. 5, pp. 1763-1768, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Samithamby Senthilnathan, “Usefulness of Correlation Analysis,” SSRN, pp. 1-9, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Jianguang Shi, and Yuezhou Xu, “Estimation and Forecasting of Concrete Debris Amount in China,” Resources, Conservation and Recycling, vol. 49, no. 2, pp. 147-158, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[52] Taylan Terzioglu, Gul Polat, and Harun Turkoglu, “Analysis of Formwork System Selection Criteria for Building Construction Projects: A Comparative Study,” Buildings, vol. 11, no. 12, pp. 1-28, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[53] The Brainy Insights. “Global Construction and Demolition Waste Market Size, Outlook: Analysing the 6.1% CAGR and USD 55.54 Billion Projection by 2030,” Technical Report, GlobeNewswire, 2023.
[Publisher Link]
[54] United Nations Environment Programme, “Annual Report 2022,” Technical Report, UNEP, 2022.
[Publisher Link]
[55] Meng-Jia Wu, Kelly Zhao, and Francisca Fils-Aime, “Response Rates of Online Surveys in Published Research: A Meta-Analysis,” Computers in Human Behaviour Reports, vol. 7, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[56] Yunna Wu et al., “A Risk Assessment Framework of PPP Waste-to-Energy Incineration Projects in China under 2-Dimension Linguistic Environment,” Journal of Cleaner Production, vol. 183, pp. 602-617, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[57] Lina Zheng et al., “Characterizing the Generation and Flows of Construction and Demolition Waste in China,” Construction and Building Materials, vol. 136, pp. 405-413, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[58] Yumiao Zhu, “Influence of Questionnaire Format on the Response Rate of Training Session Evaluations,” OTS Master’s Level Projects & Papers, 2007.
[Google Scholar] [Publisher Link]