A Comparative Analysis of Manual and Automatic Timetabling Approaches for Resource Utilisation in Tertiary Higher Learning Institution

This research compares the efficiency and effectiveness of manual versus automated timetabling methods in tertiary higher learning institution (THLI). The study focuses on comparisons of four main aspects: staffing allocation for the creation of the timetable, variety of timetable files created, time spent for creating timetables and classroom utilisation. The results show significant differences between the two approaches. Manual time timetabling approach required a team of 5 to 8 experts, resulting in significant cognitive load and increased likelihood of errors due to iterative adjustments and scheduling complications. In contrast, the automated scheduling approach required only three employees for system setup, maintenance, and validation for the timetable generation significantly reducing human effort post-implementation. In addition, automatic schedule generation created approximately 40 different types of schedule files, providing greater variety and efficiency in resource management, while the manual method only produced three variants. The automated approach significantly reduced the time needed to create timetables, requiring only 3 to 5 days instead of 12 to 15 days with the traditional process. Additionally, classroom utilisation improved significantly, with the manual method achieving less than 40% utilisation while the automated method achieved an efficiency rate of over 95%. The results suggest that automated timetable systems represent a more resource-efficient and effective option compared to manual approaches, enabling improved planning and resource optimization in tertiary higher learning institutions.

Authors

Publication Details

Journal
International Journal of Computer Science and Mobile Computing
Published
2024-12-30
DOI
https://doi.org/10.47760/ijcsmc.2024.v13i12.007
Citations
1
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Analysis of Manual and Automatic Timetabling Approaches for Resource Utilisation in Tertiary Higher Learning Institution

Werneld Egno Ngongi, Paul Theophily Nsulangi, Miraji Abdallah Mkwande, Mansour Rafii Likamba et al.
1 citations
International Journal of Computer Science and Mobile Computing
Scheduling and Timetabling Solutions
0.49
article

A Comparative Analysis of Manual and Automatic Timetabling Approaches for Resource Utilisation in Tertiary Higher Learning Institution

Werneld Egno Ngongi, Paul Theophily Nsulangi, Miraji Abdallah Mkwande, Mansour Rafii Likamba, Omary Bakari Sarehe
article en
1 citations

Abstract

This research compares the efficiency and effectiveness of manual versus automated timetabling methods in tertiary higher learning institution (THLI). The study focuses on comparisons of four main aspects: staffing allocation for the creation of the timetable, variety of timetable files created, time spent for creating timetables and classroom utilisation. The results show significant differences between the two approaches. Manual time timetabling approach required a team of 5 to 8 experts, resulting in significant cognitive load and increased likelihood of errors due to iterative adjustments and scheduling complications. In contrast, the automated scheduling approach required only three employees for system setup, maintenance, and validation for the timetable generation significantly reducing human effort post-implementation. In addition, automatic schedule generation created approximately 40 different types of schedule files, providing greater variety and efficiency in resource management, while the manual method only produced three variants. The automated approach significantly reduced the time needed to create timetables, requiring only 3 to 5 days instead of 12 to 15 days with the traditional process. Additionally, classroom utilisation improved significantly, with the manual method achieving less than 40% utilisation while the automated method achieved an efficiency rate of over 95%. The results suggest that automated timetable systems represent a more resource-efficient and effective option compared to manual approaches, enabling improved planning and resource optimization in tertiary higher learning institutions.

International Journal of Computer Science and Mobile ComputingVol. 13(12)
Openalex Percentile: Top 27%
Scheduling and Timetabling Solutions
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comparative Analysis of Manual and Automatic Timetabling Approaches for Resource Utilisation in Tertiary Higher Learning Institution — Werneld Egno Ngongi, Paul Theophily Nsulangi, et al. · International Journal of Computer Science and Mobile Computing (2024) | TGRS Research Map | TGRS