Abstract—Awareness to select computer laboratory layout
has been increased in recent years as more academic
administration have come to realize its potential for contributing
to conducive teaching and learning environment. Studies on
physical design of computer laboratory including optimizing its
layout to achieve comfort and fulfill its function are yet little.
This paper proposes the optimization of computer laboratory
layout using multiple performance measures. The use of grey
relational analysis is presented to evaluate and select the best
among the proposed four new layouts. The evaluation and
selection were performed based on three performance
parameters: capacity, total surface area and utility of space. The
performance measures were considered to be of equal weight.
The use of grey relational analysis shows reliable solution could
be suggested that provide a better distinction among the given
alternatives.
Index Terms—Modeling, learning environment, grey
relational analysis.
The authors are with the Software Technology and Management
Research Centre (SOFTAM), Faculty of Information Sciences and
Technology, Universiti Kebangsaan Malaysia, 43600 Bangi Malaysia
(e-mail: hmj@ukm.edu.my, hazura.mohamed@ukm.edu.my).
Cite: Hairulliza Mohamad Judi and Hazura Mohamed, "Optimising Computer Laboratory Layout Based on Multiple Performance Measures," International Journal of Information and Education Technology vol. 6, no. 9, pp. 713-716, 2016.