Application of Analytic Hierarchy Process in Engineering Education

Authors

  • M Tirumala Devi Department of Mathematics, Kakatiya University, Warangal, TS, India
  • Sameena Afreen Department of Mathematics, Kakatiya University, Warangal, TS, India
  • V Shyam Prasad Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India
  • Abdul Majeed Muffakham Jah college of Engineering & Technology, Hyderabad, Telangana, India
  • G. Mahender Reddy Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India

DOI:

https://doi.org/10.23755/rm.v45i0.1025

Keywords:

Analytic Hierarchy Process, Pair wise comparison, Priority Vector.

Abstract

Analytic Hierarchy Process (AHP) provides a mathematical technique to formulate a problem as a hierarchical structure and believes in an amalgamation of quantitative and qualitative criteria. It is this uniqueness of AHP that makes it one of the important inclusive systems, considered to make decisions with multiple criteria. This paper focuses on conducting Analytic Hierarchy Process, based on the data collected from several Engineering colleges in the state of Telangana. This paper aims to understand the reasons for removing the staple Engineering streams such as Mechanical engineering, Production engineering, Electronics and Instrumentation engineering and introducing new and contemporary streams such as Artificial Intelligence and Data Science, Artificial Intelligence and Machine Learning and Internet of Things. The World Economic Forum’s latest “Future of Jobs” report highlights the impact of ‘double disruption’ of Automation, followed by COVID-19. The report indicates that while 85 million jobs will be displaced, 47% of core skills will change by 2025. The topic thus is of immense value since it looks closely at the paradigm shift mentioned above and its further consequences. The result of the present study would be helpful to indicate the exact rankings of the programming and non-programming branches in the engineering field and thus would be instrumental in gauging learners’ inclination towards studying specific branches. This paper aims to analyze the growing demand of programming branches over traditional, non-programming branches. 

References

Angelis DI, Lee CY. 1996. Strategic investment analysis using activity-based costing concepts and analytical hierarchy process techniques. Int J Prod Res. 34(5):1331–1345.

Brans JP, Vincke P, Mareschal B. 1986. How to select and how to rank projects: the PROMETHEE method. Eur J Oper Res. 24(2):228–238.

C. L. Hwang, K. Yoon, 1981, “Multiple Attribute Decision Making Methods and Applications”, Springer, Berlin Heidelberg.

Hwang C.L. and Yoon K, 1981, “Multiple attributes decision making methods and applications”, Springer, Berlin.

Kousalya P, Shyam Prasad V, “Analytic Hierarchy Process-An Efficient Decision-Making Technique”, Global Journal of Pure and Applied Mathematics, Vol.11, No.2, 2015, pp.224-228

Kousalya P, Shyam Prasad V, “Role of Consistency in Analytic Hierarchy Process –Consistency Improvement Methods”, Indian Journal of Science and Technology, Vol.10, Issue.29, 2017, pp.1-5.

Marzouk M, Amer O, El-Said M. 2013. Feasibility study of industrial projects using Simos’ procedure. J CivEngManage.19(1):59–68.

Roy B. 1991. The outranking approach and the foundations of ELECTRE methods. Theory and Decision. 31(1):49–73.

Saaty TL. 1980. The analytical hierarchy process. New York (NY): McGraw-Hill.

Suhr J. 1999. The choosing by advantages decision making system. Connecticut (CT): Greenwood Publishing Group.

Xu X. 2001. The SIR method: a superiority and inferiority ranking method for multiple criteria decision making. Eur J Oper Res. 131(3):587–602.

Downloads

Published

2023-01-30

Issue

Vol. 45 (2023): Special Issue: Advances in Applied and Intellectual Mathematics

Section

Volume 44-2022

License

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. The journal is committed to real and immediate open access for academic work. All of the journal articles are free to access immediately from the date of publication. There are no charge for readers to download articles and reviews for their own scholarly use. Benefits of open access for authors, include:

  • Free access for all users worldwide
  • Increased visibility and readership
  • Rapid publication
  • No spatial constraints
  • Authors can share their research papers on their personal web-pages (i.e. ResearchGate, etc.)

Ratio Mathematica publishes open access articles under the terms of the Creative Commons Attribution (CC BY) License. The Creative Commons Attribution License (CC-BY) allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. The CC BY license permits commercial and non-commercial re-use of an open access article, as long as the author is properly attributed. Copyright on any research article published by Ratio Mathematica is retained by the author(s). Authors grant Ratio Mathematica a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its original authors, citation details and publisher are identified. 
For further information visit: https://creativecommons.org/licenses/by/3.0/. The following logo will appear in any paper that will be published from the volume number 31/2016 onwards.