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An Assignment Problem and Its Application in Education Domain: A Review and Potential Path

Author

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  • Syakinah Faudzi
  • Syariza Abdul-Rahman
  • Rosshairy Abd Rahman

Abstract

This paper presents a review pertaining to assignment problem within the education domain, besides looking into the applications of the present research trend, developments, and publications. Assignment problem arises in diverse situations, where one needs to determine an optimal way to assign subjects to subjects in the best possible way. With that, this paper classified assignment problems into two, which are timetabling problem and allocation problem. The timetabling problem is further classified into examination, course, and school timetabling problems, while the allocation problem is divided into student-project allocation, new student allocation, and space allocation problems. Furthermore, the constraints, which are of hard and soft constraints, involved in the said problems are briefly elaborated. In addition, this paper presents various approaches to address various types of assignment problem. Moreover, direction and potential paths of problem solving based on the latest trend of approaches are also highlighted. As such, this review summarizes and records a comprehensive survey regarding assignment problem within education domain, which enhances one’s understanding concerning the varied types of assignment problems, along with various approaches that serve as solution.

Suggested Citation

  • Syakinah Faudzi & Syariza Abdul-Rahman & Rosshairy Abd Rahman, 2018. "An Assignment Problem and Its Application in Education Domain: A Review and Potential Path," Advances in Operations Research, Hindawi, vol. 2018, pages 1-19, May.
  • Handle: RePEc:hin:jnlaor:8958393
    DOI: 10.1155/2018/8958393
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    Cited by:

    1. Raphael Medeiros Alves & Francisco Cunha & Anand Subramanian & Alisson V. Brito, 2022. "Minimizing energy consumption in a real-life classroom assignment problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1149-1175, December.

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