International Journal of Management and Fuzzy Systems
Volume 2, Issue 2, April 2016, Pages: 6-14
Received: Jul. 11, 2016;
Accepted: Aug. 15, 2016;
Published: Sep. 26, 2016
Views 4036 Downloads 141
Ahmed Yousry Akal, Faculty of Engineering, Civil Engineering Department, Menoufia University, Shibeen El-kom City, Egypt
Ahmed Ebrahim Abu El-Maaty, Faculty of Engineering, Civil Engineering Department, Menoufia University, Shibeen El-kom City, Egypt
A construction project such as highway comprises two distinct phases: preconstruction and construction. During these phases several factors are particularly noteworthy because of their significant impacts on the quality. As a result, the construction projects may be exposed to quality shortfalls. This paper aims at identifying the factors that may affect the quality of highway infrastructure projects in Egypt and determining their effectiveness degree through the application of fuzzy triangular approach. Using a detailed literature review, 39 factors have been identified to have an effect on the quality of the highway projects. A Pareto analysis shows that the first thirty factors contribute 80.249% of the weight of all the factors. The analysis of the collected questionnaires as perceived by the contracting engineers using the fuzzy approach reveals that availability of experienced staff in the owner’s and contractor’s teams during the project execution, asphalt quality and type used in the construction process, availability of the specified materials quality, pavement is not designed according to regional conditions (e.g. soil type -temperature - traffic volume) and design errors arising from inadequate engineer assumptions and inaccurate data are the major causal factors affecting the quality of the highway construction projects in Egypt.
Ahmed Yousry Akal,
Ahmed Ebrahim Abu El-Maaty,
Fuzzy Assessment of Factors Influencing Quality Level of Highway Projects, International Journal of Management and Fuzzy Systems.
Vol. 2, No. 2,
2016, pp. 6-14.
Transportation Research Board Executive Committee, "NDT Technology for quality assurance of HMA pavement construction," NCHRP Report No. 626, 2009, Washington, D. C., USA.
J. A. Deacon, C. Monismith, J. Harvey, and L. Popescu, "Pay factors for asphalt-concrete construction: effect of construction quality on agency costs," Technical Memorandum, TM-UCB-PRC-2001-1, Pavement Research Center, Institute of Transportation Studies, 2001, University of California, Berkeley, California, USA.
S. P. La Hue, "Quality assurance and quality of construction," Quality Assurance in Pavement Construction, Ed. Allen, G. J., ASTM STP 709, Philadelphia,1980, USA, 3-10.
BIAM "Construction quality," 57 BIAM Supplement No. 2, Bureau of Indian Affairs Manual, 2008, Washington, D. C, USA.
S. Pathomvanich, "Assessment of the effectiveness of quality assurance construction specifications for asphaltic concrete pavement," PhD Thesis, Department of Civil and Coastal Engineering, 2000, Graduated School, Florida University, USA.
H. F. Thurner, "Quality assurance and self-control in road construction, advanced measurement technology." Technical Paper, Geodynamic AB, Stockholm, 2001, Sweden, No. 11, 1-10.
W. G. Cochran, "Sampling techniques,"3rd Edition, John Wiley and Sons, 1977, New York, USA.
L. A. Zadah, "Fuzzy sets, "Information and Control, 1965, Vol. 8, No. 3, 338-353.
H. Asmuni, " Fuzzy methodologies for automated university timetabling solution construction and evaluation," PhD Thesis, School of Computer Science, 2008, Faculty of Science,
M. P. Jalal, P. Ghoddosi, and M. Hosseinalipour, "Development of a fuzzy risk assessment and contractual allocation model for Iran's dam construction projects," 1st International Conference on Construction in Developing Countries 2008, Karachi, Pakistan, 366-375.
I. Bogardi, and A. Bardossy, "Regional management of an aquifer for mining under fuzzy environmental objectives," Water Resources Research, 1983, Vol. 19, No. 6, 1394-1402.
J. Ganoulis, L. Duckstein, and I. I. Bogardi, "Risk analysis of water quantity and quality problems: the engineering approach," Water Resources Engineering Risk Assessment, Ed. Ganoulis, J., NATO ASI Series, Series G: Ecological Sciences, 1991, Vol. 29, 3-17.
A. Burney, Z. Abbas, N. Mahmood, and Q. Arifeen, "Application of fuzzy rough temporal approach in patient data management (FRT-PDM)," International Journal of Computers, 2012, Vol. 6, No. 3, 149-157.
M. Kantardzic, "Data mining: concepts, models, methods and algorithms.," 2nd Edition, John Wiley and Sons, Inc., 2011, Hoboken, New Jersey, USA.
A. O. Omole," Causes of the high cost of building and civil engineering construction in Nigeria." The Nigerian Quantity Surveyor, 1986, (6) 1-2.
K. N. Jha, and K. C. Iyer, "Critical factors affecting quality performance in construction projects," Total Quality Management and Business Excellence Journal, 2006, Vol. 17, No. 9, 1155-1170.
M. Barnes, "Construction project management," International Journal of Project Management, 1988, Vol. 6, No. 2, 69-79.
Transportation Advisory Board, "Pavement design: concepts & sections," Public Works Department, Engineering Services Division, 2010, Tulsa, Oklahoma, USA.
F. Parker, and J. Song, "Evaluation of flexible pavement performance using LTTP data," Final Report Project No. 930-419, Highway Research Center, Herbert Engineering Center, 2002, Auburn University, Alabama, USA.
J. P. Guyer, "Introduction to flexible pavement design," Course No: C02-015, Continuing Education and Development, Inc., 2009, New York, USA.
M. S. Al-Hassan, "Factors affecting quality of pavement construction in Saudi Arabia," M. S. Thesis, Department of Construction Engineering and Management, College of Environmental Design, King Fahd University of Petroleum and Minerals, 1993, Saudi Arabia.
H. Jamal, "Types and properties of bituminous materials," http://www.aboutcivil.org/importance-types-of-bituminous-materials.html,Accessed on October 2, 2014.
NAPA, "Types of asphalt pavement," National Asphalt Pavement Association, Washington, 2016, D. C., USA.
N. J. Garber, and L. A. Hoel, "Traffic and highway engineering," 4th Edition, SI Version, Cengage Learning, 2010, USA.
E. Eraslan, and M. Kurt, "A fuzzy multi-criteria analysis approach for assessing the performance of modern manufacturing systems," Proceedings of the 35th International Conference on Computers and Industrial Engineering, Istanbul, 2005, Turkey, 605-610.