Detection of schedule delay risk of empirical construction projects

Abstract

In Ethiopian construction projects, schedule delay risk is a predominant issue because it is not properly addressed. Although several studies have been focused on the various effects of risk in construction projects, limited efforts have been made to investigate the typical and the overall schedule delay risk. In this study, our aim is to detect the typical and overall schedule delay risk throughout the construction project lifecycle, which consists of the pre-construction, construction, and post-construction stages, and compare the stages with each other. Common criteria, sub-criteria, and attributes were developed for all alternatives for the purpose of making a risk decision. The methodology that was followed integrated the multiple-criteria decision-making (MCDM) model of fuzzy analytic hierarchy process comprehensive evaluation (FAHPCE) and the relative important index (RII). Data were collected from 77 participants, who were selected through purposive sampling from different contracting organizations in Ethiopian construction projects by means of questionnaires that were distributed to experienced experts. The findings showed that there is a typical delay risk either in the type or in the level of the different construction activities. Consequently, the most influenced alternative is the construction stage because of the high-risk responsibility, resource, and contract condition related criteria. The post-construction stage was the second most influenced stage because of the high-risk responsibility-related criteria. The pre-constructed stage was the least influenced stage that consist high-risk criteria of responsibility, resource, and contract condition related. These differences provided noteworthy information about risk mitigation in construction projects by identifying the exact risk level on specific activity to make appropriate decision.

Keywords

fuzzy analytic hierarchy process comprehensive evaluation / construction project / detection of delay risk / relative important index

References

[1] Abd El-Karim M S B A, Mosa El Nawawy O A, Abdel-Alim A M (2017). Identification and assessment of risk factors affecting construction projects. HBRC Journal, 13(2): 202–216

[2] Abd El-Razek M E, Bassioni H A, Mobarak A M (2008). Causes of delay in building construction projects in Egypt. Journal of Construction Engineering and Management, 134(11): 831–841

[3] Adeleke A Q, Bahaudin A Y, Kamaruddeen A M, Khan M W A, Yao L, Sorooshian S, Salimon M G (2017). The influence of organizational external factors on construction risk management in Nigerian construction companies. Safety and Health at Work, 8(2)

[4] Aminbakhsh S, Gunduz M, Sonmez R (2013). Safety risk assessment using analytic hierarchy process (AHP) during planning and budgeting of construction projects. Journal of Safety Research, 46(Supplement C): 99–105

[5] Assaf S A, Al-Hejji S (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4): 349–357

[6] Ayalew T, Dakhli Z, Lafhaj Z (2016). Assessment on performance and challenges of Ethiopian construction industry. Journal of Architecture and Civil Engineering, 2(11): 1–11

[7] Dziadosz A, Rejment M (2015). Risk analysis in construction project—Chosen methods. Procedia Engineering, 122(Supplement C): 258–265

[8] El-Sayegh S M (2008). Risk assessment and allocation in the UAE construction industry. International Journal of Project Management, 26(4): 431–438

[9] El-Sayegh S M, Mansour M H (2015). Risk assessment and allocation in highway construction projects in the UAE. Journal of Management Engineering, 31(6): 04015004

[10] Fallahnejad M H (2013). Delay causes in Iran gas pipeline projects. International Journal of Project Management, 31(1): 136–146

[11] Forteza F J, Carretero-Gómez J M, Sesé A (2017). Effects of organizational complexity and resources on construction site risk. Journal of Safety Research, 62(Supplement C): 185–198

[12] Gibson G, Walewski J, Dudley G (2003). Life-cycle considerations to optimize risk assessment and management for international projects. In: Proceedings of ASCE Construction Research Congress. Hawaii

[13] Gładysz B, Skorupka D, Kuchta D, Duchaczek A (2015). Project risk time management – A proposed model and a case study in the construction industry. Procedia Computer Science, 64(Supplement C): 24–31

[14] González P, González V, Molenaar K, Orozco F (2014). Analysis of causes of delay and time performance in construction projects. Journal of Construction Engineering and Management, 140(1): 04013027

[15] Hossen M M, Kang S, Kim J (2015). Construction schedule delay risk assessment by using combined AHP-RII methodology for an international NPP project. Nuclear Engineering and Technology, 47(3): 362–379

[16] Ibrahim M (2011). Risk matrix for factors affecting time delay in road construction projects: Owners’ perspective. Engineering, Construction, and Architectural Management, 18(6): 609–617

[17] Koushki P A, Al-Rashid K, Kartam N (2005). Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(3): 285–294

[18] Kuo Y C, Lu S T (2013). Using fuzzy multiple criteria decision making approach to enhance risk assessment for metropolitan construction projects. International Journal of Project Management, 31(4): 602–614

[19] Lee M C (2014). Information security risk analysis method and research trends: AHP and fuzzy comprehensive method. International Journal of Computer Science & Information Technology, 6(1): 29–45

[20] Li D, Yang Q, Yu D (2013). On enterprise social responsibility comprehensive evaluation based on two-step fuzzy evaluation method. Modern Economy, 4(1): 66–72

[21] Liu H Y, Guo J, He W T (2014). The research on subject behavioral risk of whole life-cycle water conservation projects. Frontiers of Engineering Management, 1(4): 348

[22] Luu V T, Kim S Y, Tuan N V, Ogunlana S O (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. International Journal of Project Management, 27(1): 39–50

[23] Mahamid I, Bruland A, Dmaidi N (2012). Causes of delay in road construction projects. Journal of Management Engineering, 28(3): 300–310

[24] Mojtahedi S M H, Mousavi S M, Makui A (2010). Project risk identification and assessment simultaneously using multi-attribute group decision making technique. Safety Science, 48(4): 499–507

[25] Nguyen A T, Nguyen L D, Long L H, Dang C N (2015). Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process. International Journal of Project Management, 33(6): 1364–1376

[26] Rao G S S, Raghavan S V (2014). Construction risk identification and assessment. Indian Journal of Applied Research, 4(5): 388–391

[27] Saaty T L (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill International Book Co

[28] Samantra C, Datta S, Mahapatra S S (2017). Fuzzy based risk assessment module for metropolitan construction project: An empirical study. Engineering Applications of Artificial Intelligence, 65(Supplement C): 449–464

[29] Toth T, Sebestyen Z (2015). Time-varying risks of construction projects. Procedia Engineering, 123(Supplement C): 565–573

[30] Wang J, Yuan H (2017). System dynamics approach for investigating the risk effects on schedule delay in infrastructure projects. Journal of Management Engineering, 33(1): 04016029

[31] Wu Z D, Chen M, Xu H J (2010). Risk assessment of oil and gas drilling engineering cooperation project based on fuzzy comprehensive evaluation. In: Proceedings of the 7th International Conference on Innovation & Management

[32] Zeng J, An M, Smith N J (2007). Application of a fuzzy based decision making methodology to construction project risk assessment. International Journal of Project Management, 25(6): 589–600

[33] Zhu J W, Zhou L N, Zhai Z, Wang C (2016). Financing model decision of inter-basin water transfer projects. Frontiers of Engineering Management, 3(4): 396–403

[34] Zou P X W, Zhang G, Wang J (2007). Understanding the key risks in construction projects in China. International Journal of Project Management, 25(6): 601–614

Acknowledgments

The authors are deeply grateful to all organizations and participants in the research for their help, and to all colleagues for their devoted support.

RIGHTS & PERMISSIONS

2018 The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)