Article Sidebar

Submitted
June 16, 2020
Published
June 16, 2020
Download
PDF
Statistic
Read Counter : 253 Download : 168

Downloads

Download data is not yet available.

Main Article Content

Abstract

Purpose: In the modern era, the number of technical colleges increases rapidly due to the huge growth of the students. But the number of teachers is less compare to the number of students. So, there is a need for optimization of manpower in the institutes.


Methodology: In this paper, mathematical optimization is used with the help of linear programming by using permanent, contractual, and adjunct faculties with the help of three objectives for the engineering department, general department, and non-teaching staffs.


Main Finding: Finally, the outcome of the paper is different optimal values for three stated objectives.


Implication: The proposed method is the mathematical formulation of the optimization in a technical institute.


The novelty of Study: This paper deals with a mathematical model of manpower problem. A sample problem has solved to illustrate the procedure.

Keywords

Manpower Training Programme LPP Programming Model LINGO Software

Article Details

License

Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

Publishing License

This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Kumar Mandal, M., Prasad Burnwal, A., & Kumar, A. (2020). OPTIMIZATION TECHNIQUE FOR MANPOWER TRAINING IN TECHNICAL COLLEGE. International Journal of Students’ Research in Technology & Management, 8(2), 21–24. https://doi.org/10.18510/ijsrtm.2020.824
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Fagoyinbo, I. S. & Ajibode I. A. (2010). Application of Linear Programming Techniques in the Effective Use of Resources for Staff Training. (JETAS) I (2) (2010) 127- 132.
  2. Gray, L. (1993). The role of training providers in manpower planning. The Vocational Aspect of Education, 45(3), pp. 251-263. https://doi.org/10.1080/0305787930450306 DOI: https://doi.org/10.1080/0305787930450306
  3. Gudi, S. K., Chhabra, M. & Rashid, M. (2019). Assessment of the impact of pharmacist-led face-to-face counselling on HIV/AIDS among school & college going students, and infected patients in south India. Clinical Epidemiology and Global Health. https://doi.org/10.1016/j.cegh.2019.01.006 DOI: https://doi.org/10.1016/j.cegh.2019.01.006
  4. Gupta, P. K. & Hira, D. S. (2011). Operation Research. Delhi S. Chand Publishers, 2011,
  5. Kashyap, M. & Gupta (2014). Application of Linear Programming Techniques for Staff Training. (IJEIT) (2014) Vol.3.SSS
  6. Kaur, A. & Manhas, R. (2008). Use of Internet services and resources in the engineering colleges of Punjab and Haryana (India): A study. The International Information & Library Review, 40(1), pp. 10-20. https://doi.org/10.1080/10572317.2008.10762759 DOI: https://doi.org/10.1080/10572317.2008.10762759
  7. Patel, N. K., Nivethitha, L. & Mooventhan, A. (2018). Effect of a Yoga Based Meditation Technique on Emotional Regulation, Self-compassion and Mindfulness in College Students. Explore, 14(6), pp. 443-447. https://doi.org/10.1016/j.explore.2018.06.008 DOI: https://doi.org/10.1016/j.explore.2018.06.008
  8. Samal, S. S. & Bharati, A. (2019). Gaps in engineering education with a categorical analysis on nanotechnology in India. Materials Today: Proceedings, 10, pp. 121-135. https://doi.org/10.1016/j.matpr.2019.02.197 DOI: https://doi.org/10.1016/j.matpr.2019.02.197
  9. Spaulding, S. (1977). Educational planning: Who does what to whom and with what effect?. Comparative Education, 13(1), pp. 55-67.
  10. Wilson, J. A. (1983). Manpower planning and the staffing needs of schools. British Journal of Educational Studies, 31(2), pp. 131-140. https://doi.org/10.1080/00071005.1983.9973652 DOI: https://doi.org/10.1080/00071005.1983.9973652