Decision making in any field, like all other economic issues, involves allocating scarce resources to meet various needs. Since ages decision making has always intrigued the mankind. A host of research study has been conducted in past few decades on economics of decision making. A number of very effective decision tools have been suggested which falls under the category of multiple criteria decision making. The paper presents one such decision making tool called Analytical Hierarchical Process (AHP), a technique for complex decision making used for large-scale, multi-party, multi-criteria decision analysis. AHP converts comparative evaluations to numerical values that can be processed and weighed over the entire range of the problem. A numerical weight or priority is derived for each element of the hierarchy, allowing diverse and often incommensurable elements to be compared to one another in a rational and consistent way. The objectives of the article are to understand the interrelationship between considered criteria and available alternatives, to grasp the basics of decision making and decision analysis and to use decision making and decision analysis in assessing the scope for cost-reduction (economics of decision making). The outcome of the study is a mathematical solution to the perennial subjective decision making process in the form of a structured methodology culled out from varied disciplines of economics, psychology and mathematics. The applicability of the AHP Model is demonstrated with an illustrative real life example.
Saaty, T.L. (2001) Fundamentals of Decision Making and Priority Theory. RWS Publications, Pittsburgh.
Saaty, T.L. (2008) Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. RWS Publications, Pittsburgh.
Poyhonen, M.A., Hamalainen, R.P. and Salo, A.A. (1997) An Experiment on the Numerical Modelling of Verbal Ratio Statements. Journal of Multi-Criteria Decision Analysis, 6, 1-10.
Saaty, T.L. and Peniwati, K. (2008) Group Decision Making: Drawing out and Reconciling Differences. RWS Publications, Pittsburgh.
Salem, O., Salman, B. and Ghorai, S. (2017) Accelerating Construction of Roadway Bridges Using Alternative Techniques and Procurement Methods. Transport, 33, 567-579. https://doi.org/10.3846/16484142.2017.1300942
Madurika, H. and Hemakumara, G. (2015) Gis Based Analysis for Suitability Location Finding in the Residential Development Areas of Greater Matara Region. International Journal of Scientific & Tech Research, 4, 96-105.
Saaty, T.L. (2008) Relative Measurement and its Generalization in Decision Making: Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors—AHP. Review of the Royal Academy of Exact, Physical and Natural Sciences: Mathematics (RACSAM), 102, 251-318.
Drake, P.R. (1998) Using the Analytic Hierarchy Process in Engineering Education. International Journal of Engineering Education, 14, 191-196.
Atthirawong, W. and McCarthy, B. (2002) An Application of the Analytical Hierarchy Process to International Location Decision-Making. 7th Annual Cambridge International Manufacturing Symposium, Cambridge, 1-18.
Dey, P.K. (2003) Analytic Hierarchy Process Analyzes Risk of Operating Cross-Country Petroleum Pipelines in India. Natural Hazards Review, 4, 213-221. https://doi.org/10.1061/(ASCE)1527-6988(2003)4:4(213)
Erensal, Y.C., Oncan, T. and Demircan, M.L. (2006) Determining Key Capabilities in Technology Management Using Fuzzy Analytic Hierarchy Process—A Case Study of Turkey. Information Sciences, 176, 2755-2770. https://doi.org/10.1016/j.ins.2005.11.004
Bhushan, N. and Rai, K. (2004) Strategic Decision Making: Applying the Analytic Hierarchy Process. Springer-Verlag, London.
Forman, E.H. and Gass, S.I. (2001) The Analytical Hierarchy Process—An Exposition. Operations Research, 49, 469-487. https://doi.org/10.1287/opre.49.4.469.11231
Wallenius, J., Dyer, J.S., Fishburn, P.C., Steuer, R.E., Zionts, S. and Deb, K. (2008) Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead. Management Science, 54, 1339-1340. https://doi.org/10.1287/mnsc.1070.0838
Ben Faouzi, A., Hammami, H. and Faten, O. (2011) Analytic Hierarchical Process for Multicriteria Decision Making in Design of Flying Voltage Source Multilevel Inverters. European Journal of Electrical Engineering, 14, 719-756.
Hwang, C.L. and Yoon, K. (2012) Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey. Vol. 186, Springer Science & Business Media, Berlin.
Locatelli, G. and Mancini, M. (2012) A Framework for the Selection of the Right Nuclear Power Plant. International Journal of Production Research, 50, 4753-4766. https://doi.org/10.1080/00207543.2012.657965
Dymova, L., Sevastjanov, P. and Tikhonenko, A. (2013) A Direct Interval Extension of TOPSIS Method. Expert Systems with Applications, 40, 4841-4847. https://doi.org/10.1016/j.eswa.2013.02.022
Triantaphyllou, E. (2013) Multi-Criteria Decision Making Methods: A Comparative Study. Vol. 44, Springer Science & Business Media, Berlin.
Saracoglu, B.O. (2013) Selecting Industrial Investment Locations in Master Plans of Countries. European Journal of Industrial Engineering, 7, 416-441. https://doi.org/10.1504/EJIE.2013.055016
Liu, H.C., You, J.X., Fan, X.J. and Lin, Q.L. (2014) Failure Mode and Effects Analysis Using D Numbers and Grey Relational Projection Method. Expert Systems with Applications, 41, 4670-4679. https://doi.org/10.1016/j.eswa.2014.01.031
Ayan, C., Bijoy, M. and Santanu, D. (2015) Selection of Appropriate Fluid Delivery Technique for Grinding Titanium Grade I Using the AHP. International Journal of the Analytic Hierarchy Process, 7.
Salavati, A., Haghshenas, H., Ghadirifaraz, B., Laghaei, J. and Eftekhari, G. (2016) Applying AHP and Clustering Approaches for Public Transportation Decision Making: A Case Study of Isfahan City. Journal of Public Transportation, 19, 38-55. https://doi.org/10.5038/2375-0901.19.4.3
Li, M., Hu, Y., Zhang, Q. and Deng, Y. (2016) A Novel Distance Function of D Numbers and Its Application in Product Engineering. Engineering Applications of Artificial Intelligence, 47, 61-67. https://doi.org/10.1016/j.engappai.2015.06.004
Bivash, M., Bijan, S. and Santanu, D. (2017) A Unified Decision Framework for Inventory Classification through Graph Theory. International Journal of the Analytic Hierarchy Process, 9.
Munasinghe, D.S., Hemakumara, G.P.T.S. and Mahanama, P.K.S. (2017) GIS Application for Finding the Best Residential Lands in Ratnapura Council Area of Sri Lanka. International Research Journal of Earth Sciences, 5, 11-22.
Zong, F. and Wang, L. (2017) Evaluation of University Scientific Research Ability Based on the Output of Sci-Tech Papers: A D-AHP Approach. PLoS ONE, 12, e0171437. https://doi.org/10.1371/journal.pone.0171437