Title of article
Assignment problem and its application in Nigerian institutions: Hungarian method approach
Author/Authors
Solaja, O Department of Business Administration - College of Management Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria , Abiodun, J Department of Business Administration - College of Management Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria , Ekpudu, J Department of Business Administration - College of Management Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria , Abioro, M Department of Business Administration - College of Management Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria , Akinbola, O Department of Business Administration - College of Management Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria
Pages
9
From page
1
To page
9
Abstract
Assignment model is a powerful operations research techniques that can be used to solve
assignment or allocation problem. This study applies the assignment model to the course allocation
problem in Nigeria tertiary institution in order to maximize lecturers’ effectiveness. A well-structured
questionnaire was used to obtain data from lecturers and solved with Hungarian method. The study
revealed that adoption of the assignment model in course allocation will help the institution to
experience 13.20% increment in lecturers’ effectiveness in taking each topic in analysis for business
decision. This will lead to increase in the quality of education students get. The study concluded that
assignment model is a unique model that can be used to solve course allocation problems in tertiary
institutions. The study then recommends that institutions should endeavor to adopt the assignment
model in course allocation for optimal benefit and to improve the quality of education in the country.
Keywords
Lecturers , Education , Assignment , Hungarian , Allocation
Journal title
International Journal of Applied Operational Research
Serial Year
2020
Record number
2629954
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