Skip to main content
SpringerLink
Log in

Multi-objective Faculty Course Timeslot Assignment Problem with Result- and Feedback-Based Preferences

  • Conference paper
  • First Online:
Ambient Communications and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1097))

Abstract

Most of the institution faces the timetabling problem in academic, sports, health,transportation, etc. In particular, academic institution faces the three types of problems as assignment of courses, examination timetabling and school timetabling. To evaluate valid and efficient course timetable is not easy task. In this paper, mathematical model of multi-objective faculty course timeslot assignment problem (MOFCTSAP) is formulated in two phases and its solution is achieved based on average of preferences given by the faculty for courses per hour taught, average of preferences of all faculties, administrator preferences as well as feedback and result based preferences. Fuzzy programming technique is applied to solve multi-objective faculty course timeslot assignment problem (MOFCTSAP) and found results using LINGO 18.0 software.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arabinda Tripathy. 1984. School timetabling—a case in large binary integer linear programming. Management Science, 30(12)

    Google Scholar 

  2. Burke, Edmund Kieran, and Sanja Petrovic. 2002. Recent research in automated timetabling. European Journal of Operational Research 140: 266–280.

    Article  Google Scholar 

  3. de Werra, D. 1985. An introduction to timetabling. European Journal of Operational Research 19: 151–162.

    Article  MathSciNet  Google Scholar 

  4. Asratian, A.S., and D. de Werra. 2002. A generalized class-teacher model for some timetabling problems. European Journal of Operational Research 143: 531–542.

    Article  MathSciNet  Google Scholar 

  5. Ozdemir, Mujgan S., and Rafail N. Gasimov. 2004. The analytic hierarchy process and multiobjective 0–1 faculty course assignment. European Journal of Operational Research 157: 398–408.

    Article  MathSciNet  Google Scholar 

  6. Daskalaki, S., and T. Birbas. 2005. Efficient solutions for a university timetabling problem through integer programming. European Journal of Operational Research 160: 106–120.

    Article  Google Scholar 

  7. Schnierjans, Marc J., and Gyu Chan Kim. 1987. A Goal Programming model to optimize departmental preferences in course assignments. Computers and Operations Research 2: 87–96.

    Article  Google Scholar 

  8. Badri, Massod A. 1996. A two stage multiobjective scheduling model for [faculty-course-time] assignments. European Journal of Operational Research 94: 16–28.

    Article  Google Scholar 

  9. Badri, Massod A., Donald L. Davis, Donna F. Davis, and John Hollingsworth. 1998. A multi-objective course scheduling model: combining faulty preferences for courses and times. Computers and Operations Research 25 (4): 303–316.

    Article  Google Scholar 

  10. Al-Yakoob, Salem M., and Hanif D. Sherali. 2006. Mathemaical programming models and algorithms for a class-faculty assignment problem. European Journal of Operational Research 173: 488–507.

    Article  MathSciNet  Google Scholar 

  11. Al-Yakoob, Salem M., and Hanif D. Sherali. A column generation mathematical programming approach for a class-faculty assignment problem with preferences. Computational Management Science. https://doi.org/10.1007/s10287013-0163-9.

  12. Bakir, M.Akif, and Cihan Aksop. 2008. A 0–1 integer programming approach to a university timetabling problem. Hacettepe Journal of Mathematics and Statistics 37 (1): 41–55.

    MathSciNet  MATH  Google Scholar 

  13. Ongy, Elvira E. 2017. Optimizing student learning: a faculty-course assignment problem using linear programming. Journal of Science and Technology 5: 1–14.

    Google Scholar 

  14. Ismayilova, Nergiz A., Mujgan sagir, Rafail N. Gasimov, 2007. A multiobjective faculty-course-time slot assignment problem with preferences. Mathematical and Computer Modeling 46: 1017–1029.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. S.V. National Institute of Technology, Surat, India

    Sunil B. Bhoi & Jayesh M. Dhodiya

Authors
  1. Sunil B. Bhoi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jayesh M. Dhodiya
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Management, Providence University, Taichung, Taiwan

    Yu-Chen Hu

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India

    Munesh C. Trivedi

  4. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    K. K. Mishra

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bhoi, S.B., Dhodiya, J.M. (2020). Multi-objective Faculty Course Timeslot Assignment Problem with Result- and Feedback-Based Preferences. In: Hu, YC., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 1097. Springer, Singapore. https://doi.org/10.1007/978-981-15-1518-7_9

Download citation

Publish with us

Policies and ethics

Search

Navigation