Ranking lecture-room furniture used in a Ghanaian University with students’ anthropometric data via multi-criteria decision making analysis

None of the furniture – either the imported Table/Chair (TC) pairs or locally made Bench (BN) – found in the lecture rooms of Ghanaian public universities is purchased according to students’ physical attributes (anthropometrics). This situation exposes the students to the side effects associated with the use of non-ergonomic furniture. Therefore, there is a need for models that can be used to compare and rank the different furniture types presented to procurement units of universities. In this study, we used a Multi-criteria Decision Making (MCDM) analysis to compare and rank available furniture for engineering students at the University of Ghana. We collected six dimensions of six different types of furniture and eight anthropometric parameters of 120 students. Six standard equations were used to assess mismatch or fit, and the results used in the MCDM model to obtain Furniture Utility Value and Furniture Anthropometric Match (FAM) scores. There were significant differences between genders for four anthropometric measures (popliteal height, hip width, subscapular height and sitting shoulder height). Seat width and depth had the highest standard deviations (8.01 and 8.92, respectively) and the degrees of mismatch (4%–100%) were associated with the type of furniture. MCDM analysis showed that respectively the TC, TC1 (FAM scores: females=0.81, males=0.88) was the most favourable, and the BNs (FAM Scores: 0.44) were the least favourable. The results’ implications were discussed for the development of an ergonomic MCDM tool to aid furniture procurement by public universities.

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Publication Details

Journal
Scientific African
Published
2025-03-01
DOI
https://doi.org/10.1016/j.sciaf.2025.e02610
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
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article

Ranking lecture-room furniture used in a Ghanaian University with students’ anthropometric data via multi-criteria decision making analysis

Cynthia Owusu, Rebecca Tetteh, Kwabena Kan‐Dapaah, P. Normeshie et al.
Scientific African
Color perception and design
article

Ranking lecture-room furniture used in a Ghanaian University with students’ anthropometric data via multi-criteria decision making analysis

Cynthia Owusu, Rebecca Tetteh, Kwabena Kan‐Dapaah, P. Normeshie, J.L. Zedek
article en

Abstract

None of the furniture – either the imported Table/Chair (TC) pairs or locally made Bench (BN) – found in the lecture rooms of Ghanaian public universities is purchased according to students’ physical attributes (anthropometrics). This situation exposes the students to the side effects associated with the use of non-ergonomic furniture. Therefore, there is a need for models that can be used to compare and rank the different furniture types presented to procurement units of universities. In this study, we used a Multi-criteria Decision Making (MCDM) analysis to compare and rank available furniture for engineering students at the University of Ghana. We collected six dimensions of six different types of furniture and eight anthropometric parameters of 120 students. Six standard equations were used to assess mismatch or fit, and the results used in the MCDM model to obtain Furniture Utility Value and Furniture Anthropometric Match (FAM) scores. There were significant differences between genders for four anthropometric measures (popliteal height, hip width, subscapular height and sitting shoulder height). Seat width and depth had the highest standard deviations (8.01 and 8.92, respectively) and the degrees of mismatch (4%–100%) were associated with the type of furniture. MCDM analysis showed that respectively the TC, TC1 (FAM scores: females=0.81, males=0.88) was the most favourable, and the BNs (FAM Scores: 0.44) were the least favourable. The results’ implications were discussed for the development of an ergonomic MCDM tool to aid furniture procurement by public universities.

Scientific AfricanVol. 27
University of Ghana (GH)
Peace, Justice and strong institutions
Openalex Percentile: Top 96%
Color perception and design
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