Design and Fabrication of Automatic Timetable Generator and its Application

Open Access

Year : 2023 | Volume : 01 | Issue : 01 | Page : 21-25
By

    Shubham Yadav

  1. Omkar Pasalkar

  2. Aniket Marne

  3. Manisha P. Navale

  4. Atharva Pawar

  1. Assistant Professor, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  2. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  3. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  4. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India
  5. Student, Department of Mechanical Engineering, NBNSTIC, Maharashtra, India

Abstract

Making a schedule manually is exceedingly challenging in today’s literate environment. Timetables must be made specifically for each branch and each year. It becomes quite chaotic, time-consuming,
and labor-intensive to manually prepare the timetables. When a staff member needs to be substituted or is on leave, the process can occasionally become complicated. In our effort, we have developed a timetable-creation algorithm that will save a lot of time while lessen the workload and pressure on the employee. By using software to complete the task, much time is saved, and complex circumstances can also have schedules created. Additionally, it will prevent human error due to subject overlap and open positions. The creation of timetables is a difficult and time-consuming task, but it is essential to the coordination of many operations in educational institutions. The development of automatic timetable generation technologies has significantly streamlined this procedure, lowering labour costs and increasing productivity. This study paper offers a thorough examination and critique of the piece named “Automatic Timetable Generator.” The fundamental ideas, methods, benefits, and difficulties of automatic timetable creation systems are examined in this work. It also examines how these systems affect educational institutions and identifies possible topics for additional study and
development.

Keywords: Genetic Algorithm, Automated Timetable, Soft And Hard Constrains.

[This article belongs to International Journal of Advanced Robotics and Automation Technology(ijarat)]

How to cite this article: Shubham Yadav, Omkar Pasalkar, Aniket Marne, Manisha P. Navale, Atharva Pawar Design and Fabrication of Automatic Timetable Generator and its Application ijarat 2023; 01:21-25
How to cite this URL: Shubham Yadav, Omkar Pasalkar, Aniket Marne, Manisha P. Navale, Atharva Pawar Design and Fabrication of Automatic Timetable Generator and its Application ijarat 2023 {cited 2023 Nov 29};01:21-25. Available from: https://journals.stmjournals.com/ijarat/article=2023/view=127625

Full Text PDF Download

Browse Figures

References

  1. Ceschia S, Di Gaspero L, Schaerf A. Educational timetabling: problems, bench-marks, and state-of-the-art results. Eur J Oper Res. 2022; 308 (1): 1–18.
  2. Rane MV, Apte VM, Nerkar VN, Edinburgh MR, Rajput Automated timetabling system for university course. In: 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, March 5–7, 2021. pp. 328–334. doi: 10.1109/ESCI50559.2021.9396906.
  3. Tan JS, Goh SL, Kendall G, Sabard NR. A survey of the state-of-the-art of optimisation methodologies in school timetabling problems. Expert Syst Appl. 2021; 165: 113943.
  4. Saviniec L, Santos MO, Costa AM, dos Santos Pattern-based models and a cooperative parallel metaheuristic for high school timetabling problems. Eur J Oper Res. 2020; 280 (3):
    1064–1081.
  5. Ekanayake TW, Subasinghe P, Ragel S, Gamage A, Attanayaka Intelligent timetable scheduler: a comparison of genetic graph coloring, heuristic and iterated local search algorithms. In: 2019 International Conference on Advancements in Computing (ICAC), Malabe, Sri Lanka, December 5–7, 2019. pp. 85–90. doi: 10.1109/ICAC49085.2019.9103403.
  6. Al Perumal S, Tabassum M, Norwani NM, Al Narayana Samy G, Perumal Development of an efficient timetable system using AngularJS and Bootstrap3. In: 2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, November 23–25, 2018. pp. 70–75. doi: 10.1109/ICCSCE.2018.8685002.
  7. Bodas N, Shah J, Shah Y, Sontakke A, Dhangar D. Exam cell automation system and timetable generator. Int J Creative Res Thoughts. 2018; 6 (2): 1045–1049.
  8. Lahoti Y, Punekar A, Patel H, Bhimsariya Automated timetable generator. Int J Sci Res. 2017; 6 (1): 2004–2007.
  9. Burke EK, Petrovic Recent research directions in automated timetabling. Eur J Oper Res. 2002; 140 (2): 266–280.
  10. Chowdhary A, Kakde P, Dhoke S, Ingle S, Rushiya R, Gawande D. Timetable generation system. Int J Computer Sci Mobile Comput. 2014; 3 (2): 410–414

Regular Issue Open Access Review Article
Volume 01
Issue 01
Received June 20, 2023
Accepted July 9, 2023
Published November 29, 2023