A Management Framework to Reduce Delays in Road Construction Projects in Sudan

Khair, Khalid; Mohamed, Zainai; Mohammad, Roslina; Farouk, Hazir; Ahmed, Mohammed Elhadi

doi:10.1007/s13369-017-2806-6

Cited by 28 publications

(27 citation statements)

References 12 publications

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“…The DEC dataset could also be classified based on these findings. A careful content analysis showed that there were at least three different types of findings within the DEC dataset: (i) the first group of papers investigating causes of delay [70], effects of delay [71], mitigation strategies, and/or all causes and effects with appropriate mitigation strategies [72,73]; (ii) the second group investigating the effect of one special factor on delay [74]; (iii) the third group proposing and evaluating methods and/or models for identifying, ranking, and estimating delays [75].…”

Section: Content Analysis and Data Miningmentioning

confidence: 99%

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

et al. 2019

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Delay is one of the main challenges of construction projects, and there is still much to overcome in order to reach near zero delay in all construction projects. This project aims to conduct a systematic critical review including a bibliography analysis on delay literature in construction. The main questions consider what has been learnt from a decade investigating delay causes and effects in the construction literature and what factors have been missed in the literature. This paper also presents a new and challenging question regarding how digital tools and associated technologies may prevent any delay in construction projects, which can change the research direction from delay investigations to identifying prevention factors. The paper identifies the delay dataset, including 493 papers investigating delay in construction, and establishes a specific dataset of papers focusing on delay effects and causes (DEC), including 94 selected papers covering different factors examined in over 29 countries such as Iran, India, Turkey, Bangladesh, Saudi Arabia, the United Arab Emirates (UAE), Cambodia, Oman, Malaysia, Taiwan, China, Vietnam, the US, the UK, and Egypt. In addition, the paper identifies 30 critical factors with the frequency of occurrences over three times in the DEC dataset and computes their medians of ranking. This paper also discusses digital tools and methods that can be used for delay analysis and preventions, including MS Project, Oracle Primavera P6, and Open Plan by Deltek. The paper discusses the project schedule delay analysis from project management methodology perspectives. It also discusses the current method's limitations and future directions, which are based on the identification of the deficiency areas. In total, four overlooked factors are identified and suggested, including faulty data analysis, unmatched structure of the research questionnaires with new knowledge and standards [e.g., Project Management Body of Knowledge (PMBOK)], overlooked effects of digital technologies [e.g., Digital twin, Navisworks, Building Information Model (BIM), Geographic Information System (GIS), and Integrated Project Delivery (IPD)], and ignored job-site technologies. In addition, the paper presents the DEC model for future studies, including four main key factors. These factors are resources (e.g., project budgets, labour, material, equipment, and digital tool), project context, stakeholders performance (e.g., owner/client, consultant/designer, contractor, vendor/supplier), and external factors (e.g., ground condition, site location, regulation, natural disaster), which may significantly affect delay prevention and should be concurrently considered in the future delay investigations, since they may be required for designing an effective mitigation strategy when these proof points are identified. This would significantly help to utilise digital systems to prevent time overruns in different construction contexts. Several cases of 24 projects were delayed more than 100% of contract duration [44]. Indonesia 38% o...

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Section: Content Analysis and Data Miningmentioning

confidence: 99%

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

et al. 2019

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“…There were studies in countries with GDP per capita (2018 US$) > 10,000, such as South Korea (Kavuma, Ock, & Jang, 2019) and the United Kingdom (Agyekum & Knight, 2017). There were also studies in countries with GDP per capita (2018 US$) between 10,000 and 2,000, such as Turkey (Budayan, 2019) and Algeria (Rachid, Toufik, & Mohammed, 2018), as well as studies in countries with GDP per capita (2018 US$) < 2,000 like Sudan (Khair, Mohamed, Mohammad, Farouk, & Ahmed, 2017) and Cambodia (Durdyev, Omarov, & Ismail, 2017). However, the search found scarce comparative studies.…”

Section: Related Studies On Project Delaysmentioning

confidence: 99%

Delay causes in road infrastructure projects in developing countries

Mejía

Sánchez

Castañeda

et al. 2020

rdlc

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Project delays adversely affect road infrastructure development in developing countries. Unfavorable consequences of project delays involve cost overrun, contractual disputes, arbitration, and quality non-conformities. Despite these risks, literature shows that delays are still a prevalent problem in construction management. Although there is a considerable number of publications on project delays, few studies have compared their causes between developing countries. Therefore, this study aimed to: a) classify and determine the level of influence of the delay causes; b) find the relationship between delay causes and country's development; and c) propose recommendations for mitigating the most critical causes in developing countries. A systematic literature review provided a sample of 14 primary studies from Africa (50%) and Asia (50%). Based on this sample, the study found that developing countries, with a GDP per capita ($US2018) <= $ 2,000, may experience different delay causes depending on the economic and the geographical contexts. In African countries with a Global Competitiveness Index-GCI <= 56, road projects may experience delays due to financial issues of the project owner, as well as delays due to equipment/material issues of the project supplier/subcontractor. On the other hand, in Asian countries with a GCI between 62 and 49, road projects may experience delays due to financial issues of the project contractor, and delays due to planning issues of the project designer/consultant. According to these economic contexts, this study proposes a frame of causes and mitigation actions as a contribution to the risk analysis of road projects in developing countries.

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“…Construction management companies to help minimize delays or their impacts [5,9,14,[30][31][32]. Joint efforts of participants in the construction [9,11,14,33] Site conditions have to be improved [3,4,15,18] Financial Payment to the contractor on time for the work being carried and finished based on contract.…”

Section: Administrationmentioning

confidence: 99%

“…Uses of monitoring tools or software (Primavera and MSP) [3,18,38] Building information modeling (BIM) [1,15,[48][49][50] Productivity can be enhanced by using the modern equipment's [4,11,24,32] In [1,15] the authors claim that the introduction of building information modelling (BIM) in the construction industry, could make a positive impact on minimizing delay in the construction industry. Building Information Modeling (BIM) can identify the fault of construction plan easily.…”

Section: Items (Authors)mentioning

confidence: 99%

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A Review of Minimizing Delay in Construction Industries

2018

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Construction is an important industry to determine the development of a country. However, this industry faced delay issues caused by various factors that affect proper construction project. Hence, minimizing delay in construction should be focused on overcoming the delay issue. Thus, the objective of this study is to critically review the main criteria of minimizing delay based on the most significant items that suggested in the previous journals. This paper reviewed 47 journals that studied the issues of delays in construction projects. Through this study, the authors have classified four main criteria for minimizing delays, which are; management, interpersonal, technical and technology. Management ensures the proper manage of time, financial and control system in construction to minimize delay. While, interpersonal promote a good relationship between construction parties, hire of competent and skilled labour and responsibility of the owner to avoiding delay. Besides, technical ensure the quality of project and technology could improve the productivity of construction based on fourth industrial revolution development in the construction field. Thus, this study contributes to construction parties able to focus on elements to overcome the delay issue in they faced and applied the ideas based on the element to minimize delay in the construction project.E3S Web of Conferences 65, 03004 (2018) https://doi.org/10.1051/e3sconf/20186503004 ICCEE 2018 333 housing projects were delayed [6]. The studies on minimizing delay can help Malaysia construction sectors to understand how to minimize delays in order to reduce the number of housing delay. Thus, this study merely focused on minimizing delays in construction. In these studies, all the recommendation of minimizing delay explored and major significant method of minimizing delays in construction identified.

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A Management Framework to Reduce Delays in Road Construction Projects in Sudan

Cited by 28 publications

References 12 publications

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

Delay causes in road infrastructure projects in developing countries

A Review of Minimizing Delay in Construction Industries

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