Identifying Contractors’ Planned Quality Time in Egyptian Irrigation Projects

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During an extremely competitive infrastructure sector such as irrigation projects, quality time (QT) must be determined to can recognize probable quality crisis parts and to direct mind on schedule enhancement chances. The consciousness of planners on the significance of QT could be reflected in their project schedule. This study appears a measurement of planned QT in five infrastructure irrigation projects performed by different five contractors in Egypt. The aim is to aid the contractors to develop their QT preparation and thus enhance their project time based on the results. QT is fundamental classified into two classes: conformance time (CT), and nonconformance time (NCT). Based on many studies, a register of quality proceedings that would be enclosed in every QT groups are then generated. The QT records for every group are recognized and gathered via questions and questionnaire designs. QT is calculated as a proportion of the project duration. It is uncovered that while enormous companies previously have clear information on QT in construction sector, these times are not scheduled in a defined method during a study of regular QT details. During time classification it is also appeared that greater conformance time (CT) lead to lesser nonconformance time (NCT). It is then ended that a lot of effort is still to be made by the contractors to establish a QT documenting procedure which be able to act as a base for their project enhancement planning.

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155-170

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January 2022

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© 2022 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ashokkumar D, Study of Quality Management in Construction Industry, Int J Innov Res Sci Eng Technol. 2014; 3(1):36–43.

Google Scholar

[2] Neyestani B, Effectiveness of Quality Management System (QMS) on Construction Projects, SSRN Electron J. 2017; (76754).

Google Scholar

[3] Mallawaarachchi H, Senaratne S, Importance of Quality for Construction Project Success, 6th Int Conf Struct Eng Constr Manag. 2015; 84–9.

Google Scholar

[4] Hosseini SA, Akbarpour A, Ahmadi H, Aminnejad B, Balance of Cost, Time, and Quality Related to Construction Projects Regarding the Reinforced Concrete of Underground Structures using a Meta-Heuristic Algorithm, Arch Civ Eng. 2017; 63(4):103–21.

DOI: 10.1515/ace-2017-0043

Google Scholar

[5] Hassan Z, Ibrahim A, Naji H, Evaluation of Legislation Adequacy in Managing Time and Quality Performance in Iraqi Construction Projects- a Bayesian Decision Tree Approach, CE.J. 2018; 4(5):993.

DOI: 10.28991/cej-0309151

Google Scholar

[6] Dale B, Oakland J, Quality Improvement through Standards. S, Thornes Publishers, England, UK. (1994); 40-43.

Google Scholar

[7] Dale B, Plunkett J, Quality Costing, 3rd ed., Gower Publishing Limited, Hampshire, England, UK. (1999); p.9, 27, 32, 38, 48, 53, 143.

Google Scholar

[8] Feigenbaum A, Total Quality Control, Harvard Business Review, (1956); 34(6): 93-101.

Google Scholar

[9] Crosby P, Puti F, Wisridani M, Quality Assurance, McGraw Hill Custom Publishing, (1979); 380.

Google Scholar

[10] Aoieong R, Capturing Quality Costs of Construction Processes Using the Construction Process Model (CPCM), PhD Thesis, Department of Civil and Structural Engineering, The HongKong Polytechnic University, HongKong. (2004).

Google Scholar

[11] Love P, Irani Z, A Project Management Quality Cost Information System for the Construction Industry, Information & Management. (2003); 40: 649-661.

DOI: 10.1016/s0378-7206(02)00094-0

Google Scholar

[12] Abramsson P, Edmark S, Ewers S, Falk E, Ullmar E, Josephson P, Poor Quality Costs in Large Construction Companies: What Can be Learned from Other Industries?, The CRIOCM International Symposium on Advancement of Construction Management and Real Estate. (2013); http://www.irb.net.de/daten/iconda/CIB5838.pdf.

Google Scholar

[13] Tawfek H, Mohammed H, Abdel Razek M, Assessment of the Expected Cost of Quality (COQ) in Construction Projects in Egypt Using Artificial Neural Network Model, HBRC J. (2012); 8: 132-143.

DOI: 10.1016/j.hbrcj.2012.09.009

Google Scholar

[14] Lam S, Low C, Teng W, ISO 9000 in Construction, McGraw-Hill Book Co. (1994); p.21.

Google Scholar

[15] Abdul Rahman H, The Cost of Non-Conformance During a Highway Project: A Case Study, Construction Management and Economics. (1995); 13: 23-32.

DOI: 10.1080/01446199500000004

Google Scholar

[16] Kamal S, Manoj K, Latin hypercube sampling based NSGA-III optimization model for multimode resource constrained time–cost–quality–safety trade-off in construction projects, International Journal of Construction Management. (2020).

DOI: 10.1080/15623599.2020.1843769

Google Scholar

[17] Nima H, Mohammad E, Javad S, Presenting a goal programming model in the time-cost-quality trade-off, International Journal of Construction Management. (2018).

Google Scholar

[18] Ossama H, Mahmoud E, Stochastic Time-Cost-Quality Trade-Off Analysis: The PERT Approach, Construction Research Congress. (2018).

DOI: 10.1061/9780784481271.034

Google Scholar

[19] Duc-Long L, Duc-Hoc T, Phong T,Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution, International Journal of Construction Management. (2018).

DOI: 10.1080/15623599.2018.1526630

Google Scholar

[20] Abhilasha P, Kumar N, Integrating Quality and Safety in Construction Scheduling Time-Cost Trade-Off Model, the Journal of Construction Engineering and Management. November 22 (20201).

Google Scholar

[21] Allan C, Ivan M, Quality Assurance and Quality Control of High-Rise Enclosure Design Using Lean Principles, The Practice Periodical on Structural Design and Construction, October 29, (2019).

DOI: 10.1061/(asce)sc.1943-5576.0000463

Google Scholar

[22] Syed W, Ilker B, Yogesh K, Emin K, Development of Pay Factors to Regulate Chip Seal Construction Quality, Airfield and Highway Pavements. (2019).

DOI: 10.1061/9780784482452.016

Google Scholar

[23] Ayman M, Sami G, Framework to Optimize Cost of Quality in Delivering and Operating Green Buildings, International Conference on Sustainable Infrastructure, (2019).

DOI: 10.1061/9780784482650.035

Google Scholar

[24] Peter E, Pauline T, John M, Revisiting Quality Failure Costs in Construction, Journal of Construction Engineering and Management, April 25, (2018).

Google Scholar

[25] Saša B, Andy K, A Critical Success Factor Framework for Information Quality Management, Information Systems Management, 31:276–295, (2014).

DOI: 10.1080/10580530.2014.958023

Google Scholar

[26] Olugbenro O, Chukwuma N, Armen A, Application of Emerging Technologies for Highway Construction Quality Management: A Review, Construction Research Congress (2020).

Google Scholar

[27] Iman S, Ehsan E, Farnad N, Shiva A, Dynamic modeling to reduce the cost of quality in construction projects, International Journal of Construction Management, (2020).

Google Scholar

[28] James T, Hyun J, Analyzing the Quality Problems and Defects of Design Deliverables on Building Projects, Journal of Architectural Engineering, July 24, (2020).

Google Scholar

[29] Al-Tmeemy S, Abdul-Rahman H, Harun Z, Contractors' Perception of the Use of Costs of Quality System in Malaysian Building Construction Projects, International Journal of Project Management. (2012); 30(7): 827-838. (.

DOI: 10.1016/j.ijproman.2011.12.001

Google Scholar

[30] BSI (British Standards Institution), BS 6143: Part 2 Guide to the Economics of Quality-Preventive, Appraisal and Failure Model, British Standards Publishing. (1990).

Google Scholar