 Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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- Mitigating Recordable Incidents in Nigeria's Oil & Gas Construction
Industry: A Human Factor Engineering (HFE) Approach
Authors: Daniel Obioma Thomas , Eucharia Oluchi Nwaichi, Chinemerem Patricks
Pages: 1 - 13
Abstract: The Nigerian Oil and Gas construction industry poses significant risks due to incident prevention limiting factors. These factors include inadequate resource allocation, prioritization of production over safety, poor communication, insufficient supervision, suboptimal workplace design, weak risk perception, limited management commitment, worker incompetence, flawed design systems, and inadequate planning. This research aims to develop a human factor engineering model to support the reduction of the Total Recordable Incident Frequency (TRIFR) in Oil and Gas construction activities in Nigeria. The study involved site-based construction workers with a minimum of 2 years' experience in upstream, downstream, and midstream Oil construction industries. Data collection utilized a descriptive study design with structured questionnaires, and analysis employed SPSS-AMOS and Structural Equation Modelling (SEM) techniques. Results indicated statistically significant correlations between human factors and TRIFR across workplace, task, personal, organizational, and design factors. The structural equation regression model further demonstrated the significance of human factors in relation to TRIFR. Specifically, path coefficients of 0.18, -0.4, 0.31, -1.06, and -0.21 were observed for personal, organizational, workplace, design, and task factors, respectively. In conclusion, the research proposes that engineered human factors can effectively contribute to reducing the total incident frequency rate. Recommendations include the establishment of a construction safety board by the Nigerian government, the implementation of integrated contractor construction health and safety management systems by organizations and workers embracing personal responsibility for safety to prevent or minimize incident frequency rates.
PubDate: 2023-11-30
DOI: 10.9734/jsrr/2023/v29i111803
Issue No: Vol. 29, No. 11 (2023)
- A Review Article on the Impact of Covid-19 on Data Centers and Cloud
Infrastructure
Authors: Oluwafunto Ayeni , Temiwande Esho , Oluwafunsho Lasisi , Olorunmaiye Peter
Pages: 14 - 23
Abstract: The COVID-19 pandemic has significantly disruptеd global opеrations, nеcеssitating a rapid pivot to rеmotе work and digital collaboration. This study prеsеnts a litеraturе rеviеw еxploring thе consеquеntial role that cloud computing has played during this pеriod. By analyzing a range of scholarly articles, this rеviеw synthеsizеs thе еxisting rеsеarch on thе impact of thе pandеmic on cloud computing infrastructurе and sеrvicеs. It еxaminеs thе mеthodologiеs еmployеd by various rеsеarchеrs, including systеmatic litеraturе rеviеws, sеcondary data analysis, and еxtеnsivе statistical analysis using tools likе SPSS. Thе data analysis sеction scrutinizеs how diffеrеnt sеctors havе adaptеd to rеmotе work, thе innovations that havе еmеrgеd within cloud computing, thе sеcurity concеrns that havе arisеn with its incrеasеd usе, and thе ovеrall еffеcts on thе IT industry. This study highlights the significance of cloud computing in maintaining continuity during this pandеmic and discusses thе potential for continuеd rеliancе on cloud sеrvicеs post-pandеmic. Thе findings suggеst that cloud computing has not only been crucial in addressing immеdiatе opеrational challеngеs but also holds thе promisе of sustaining long-tеrm transformations in businеss and tеchnology landscapеs. Thе rеsеarch quеstions dеrivеd from thе rеviеwеd litеraturе aim to furthеr guidе scholarly inquiry into thе еvolving dynamics of cloud computing in a post-pandеmic world.
PubDate: 2023-12-01
DOI: 10.9734/jsrr/2023/v29i111804
Issue No: Vol. 29, No. 11 (2023)
- Modeling the Yield of Glycine max (L.) Merrill Using Mixture Process
Variable Model within an Optimal Split-Plot Design
Authors: Samson W. Wanyonyi , Julius K. Koech
Pages: 24 - 33
Abstract: A mixture design has become famous in statistical modeling in a mixture process variable experiment owing to its usefulness in modeling the blending surface that predicts the response of any mixture empirical. The mixture blends included manure from cows, chickens, goats, and sheep while the process variable was seeding rate of Glycine max seeds and the pH of the soil. The effect of variety of the seed used was established through variation of seeds per acre with uniform application of organic and inorganic fertilizer. This study's main aim was to determine the best desirable split-plot design for performing the Glycine max experiment with the settings mixture-process variables. The split-plot design (SPD) was used to solve the problem of restricted randomization. It constituted a simplex centroid design (SCD) of four design points of mixture components and factorial design with a central composite design (CCD) of the process variable. We formulated a new Scheffe model and the proposed design for SPD for the combined second-order mixture process variable model with CCD. We used the restricted maximum likelihood method to approximate values for parameter models within the SPD. We also found the effect of mixture component at vertices of components of the mixture plus with interaction effect between mixture and process variable to have the highest impact on the growth and pod development of Glycine max. The optimum total yield of Glycine max for variety R184 and Blyvoor used in Bushel per acre was 180.53 and 219. 217, respectively on the Whole Plot with a pH of soil being 5.4. The mean response maximum optimum yield for the total number of pods per plant and seeds per pod of Glycine max were found to be 32.30 and 2.331, respectively. We recommend using SPDs in experiments involving mixture settings formulations to measure the interaction effects of both the mixture components and the processing conditions like a pH of the soil and seeding rate.
PubDate: 2023-12-01
DOI: 10.9734/jsrr/2023/v29i111805
Issue No: Vol. 29, No. 11 (2023)
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