Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/27668
Title: Efficient Utilisation of Automation in Construction Materials handling Processes.
Authors: Alumbugu, Polycarp Olaku
Shakantu, W.
Tsado, John Abel
Ola-awo, Adeniran Wasiu
Keywords: Automation
Construction materials
efficiency
mMaterial handling
Issue Date: Dec-2022
Publisher: University of the Free Town, Bloemfontein, South Africa
Citation: Alumbugu, P.O., Shakantu, W., Tsado, J.A., & Ola-awo, A. W. (2022). Efficient Utilisation of Automation in Construction Materials handling Processes. Acta Structilia Journal, Published by University of Free State, South Africa, 29(2) pp. 33-57
Series/Report no.: 29(2);
Abstract: There is a limited understanding of automation in construction materials-handling processes utilised by manufacturing firms in Nigeria. This article evaluates the level of utilisation of automation in construction materials-handling operations by manufacturing firms in North-Central Nigeria, to improve operational efficiency and reduce operating costs. Using a case study research design, quantitative data (observation guide with measurements) were collected from 32 purposively selected constructionmaterial manufacturers. A total of 72 customers’ orders were observed and recorded to be representative of deliveries from the sampled (n=32) manufacturers’ warehouses to other terminals. The descriptive method of data analysis was employed using percentages and results presented in a form of bar charts. The study reveals low-level utilisation of automation in the combined processes of order picking, storage, loading, and offloading of material. These imply increasing material costs and causing a delay in delivery. The article concludes by providing construction-material manufacturers with areas that require automation to optimise material-handling operations. A recommendation is made for further study to explore why automation is not utilised despite its advantage.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27668
ISSN: 10230564
Appears in Collections:Quantity Surveying

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