Comparing the Planning and Performance of Direct Labour and Design-Bid-Build Construction Projects in Nigeria / Planavimo Ir Veiklos Efektyvumo Palyginimas, Nigerijos Statybų Projektuose Naudojant Tiesioginį Darbą Ir Taikant Tradicinį Pirkimų Metodą

Idoro, Godwin Iroroakpo

doi:10.3846/13923730.2012.671283

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…The authors disclose no conflict of interest. Idayat Durotoye 1,2 Rasheed Odunola 1,3 Oluwapelumi Adeyemi 1,4 Alex Akanmu 1,5 Oladimeji Bolarinwa 1,6 Muhammed Adeboye 1,7 Ali Abdullahi 1,8 Zulkarnain Bolajoko 1,9 Wasiu Durosinmi 1,10 George Adebisi 1 Veronica Aduloju 1 1…”

Section: Conflict Of Interestmentioning

confidence: 99%

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Pertinent roles of African higher institutions in the COVID‐19 pandemic response: The University of Ilorin, Ilorin, Nigeria; An African Model

Durotoye

Odunola

Adeyemi

et al. 2020

Health Planning & Management

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The rapid spread of COVID-19 principally through respiratory droplets and fomites transitioned into a global pandemic in waves of outbreaks across regions. 1 The projected colossal impact of the pandemic on economies particularly in low to middle income countries (LMIC), 2 have prompted pertinent questions about Africa's preparedness. 3 This report highlights early responses of a Nigerian institution to the COVID-19 pandemic. The University of Ilorin (Unilorin), Ilorin, Nigeria is an international institution of higher learning, which was established by the Nigerian Government in 1976. It occupies a 15 000-ha landmass that cuts across several rural communities in Kwara State, North-central Nigeria and 180 miles (289.7 km) from the Lagos epicenter of the COVID-19 outbreak in Nigeria. The Unilorin community comprises over 4500 workers and 56 600 students across 15 faculties, one College of Health Sciences, and a School of Preliminary Studies. Following the first reported case of COVID-19 in Lagos, Nigeria, a COVID-19 Prevention Committee (herein referred to as The Committee) was setup by the University management to safeguard the University community. Within 3 weeks of the COVID-19 outbreak in Nigeria, the committee successfully implemented a string of containment measures before the first confirmed case was reported in Ilorin, Kwara State.

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Section: Conflict Of Interestmentioning

confidence: 99%

“…9 To promote the culture of good hand hygiene as well as curtail spread of COVID-19, public hand wash stations were constructed across the University campuses by direct labor. 10 These were complemented with alcohol-based sanitizers produced in-house and dispensed through touchless sensor-based units and 100 mL aliquots across the University campuses.…”

mentioning

confidence: 99%

Pertinent roles of African higher institutions in the COVID‐19 pandemic response: The University of Ilorin, Ilorin, Nigeria; An African Model

Durotoye

Odunola

Adeyemi

et al. 2020

Health Planning & Management

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“…The optimum allocation of restricted resources over time is the principal concern of project scheduling, which thereby handles the task of defining the set of activities to be carried out at a particular point in time; in addition to playing a significant role in various fields of engineering (Idoro 2012). Programming large scale projects requires the deployment of analytical solutions for the purposes of scheduling activities and resource allocation.…”

Section: Introductionmentioning

confidence: 99%

A Neural Network for Resource Constrained Project Scheduling Programming

Özkan

Gülçiçek

2015

Journal of Civil Engineering and Management

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The resource constrained project-scheduling problem (RCPSP) aims to minimize the duration of a project. RCPSP is prevalently used in programming the projects with high number of activities and resources such as construction projects. In this study, 240 projects such as residential, office, school, etc. are designed and programmed under limited resources. The resource amounts of these projects are determined using three priority rules, these are Latest Finish Time, Minimum Slack Time and Maximum Remaining Path Length which have the highest performance according to the literature, in the amounts of 2, 4, 6 and 8. The project times are estimated using artificial neural network (ANN). A correlation coefficient of 0.70 was obtained from the ANN estimation model.

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A decision-support system for choosing between traditional and alternative project delivery methods for bundled projects

Assaf,

Assaad

2024

ECAM

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PurposeProject bundling is an innovative practice that groups or bundles several infrastructure projects into a single contract. While project bundling has various benefits, agencies are facing some challenges when bundling their projects, including properly assessing the feasibility (or infeasibility) of project delivery methods (PDMs) of interest. More specifically, project owners face the challenge of properly selecting between traditional and alternative PDMs for their bundled projects. Although some research efforts were devoted to providing guidelines in relation to different aspects related to project bundling, no previous study was conducted to help project owners performing PDMs-related feasibility analysis for bundled projects, which differ from normal, singly delivered projects. To fill this knowledge gap, this paper develops a decision-support tool that assists agencies in deciding whether they should select a traditional or alternative PDM (i.e. whether to go with the Design-Bid-Build (DBB) PDM or not) for their bundled projects.Design/methodology/approachAn analytical methodology comprised of four main steps was followed in this paper. First, an expert survey was developed and distributed to industry experts to quantify the importance of 25 project bundling objectives. Second, principal component analysis was used to determine the weights for the different project bundling objectives. Third, a series of statistical tests was implemented to identify different feasibility tiers. Fourth, a user-friendly decision-support tool was developed, and its capabilities were demonstrated.FindingsThe results showed that six tiers exist to classify the feasibility (or infeasibility) of traditional PDMs (i.e. the DBB method) for bundled projects. The research outcomes have also reflected that the following five project bundling objectives contribute the most to making traditional PDMs (i.e. the DBB method) more feasible for bundled projects: (1) Having well-defined design features; (2) Requiring prior knowledge or experience with similar project size and scope; (3) Completing the overall project on schedule; (4) Keeping rate of expenditures within cash flow plan; and (5) Acquiring specific legislative, regulatory and jurisdictional requirements early on.Originality/valueThis research adds to the body of knowledge by equipping agencies and project owners with a decision-support system that helps them identify whether traditional or alternative PDMs are more appropriate for the specific objectives of their bundling program(s). By making the right PDM decision, project owners can enhance their bundling practices (especially in relation to the PDM proper selection) and ultimately the performance of their bundled projects.

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Comparing the Planning and Performance of Direct Labour and Design-Bid-Build Construction Projects in Nigeria / Planavimo Ir Veiklos Efektyvumo Palyginimas, Nigerijos Statybų Projektuose Naudojant Tiesioginį Darbą Ir Taikant Tradicinį Pirkimų Metodą

Cited by 8 publications

References 10 publications

Pertinent roles of African higher institutions in the COVID‐19 pandemic response: The University of Ilorin, Ilorin, Nigeria; An African Model

Pertinent roles of African higher institutions in the COVID‐19 pandemic response: The University of Ilorin, Ilorin, Nigeria; An African Model

A Neural Network for Resource Constrained Project Scheduling Programming

A decision-support system for choosing between traditional and alternative project delivery methods for bundled projects

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