Exploring Simple Addictive Weighting (SAW) for Decision-Making

I'tishom Al Khoiry, Dhea Rizky Amelia

Abstract


The Simple Additive Weighting (SAW) method is a well-known and widely utilized approach for decision-making in various disciplines. The SAW method involves a step-by-step process that enables decision-makers to evaluate and rank alternatives based on their respective attribute values and assigned weights. Within this context, this paper aims to provide a comprehensive exploration of SAW for decision-making. This study demonstrates the utilization of the SAW method in supplier selection, which aims to streamline and optimize the supply chain management process for organizational business.The resultsderived from the study have revealed its practicality, effectiveness, and adaptability in handling multi-criteria decision problems, by examining its principles, advantages, limitations, and application based on real situations. It's important to note that the method's reliance on accurate weight assignment to criteria poses a challenge. This process can be subjective and intricate, especially when faced with conflicting objectives. However, SAW stands as a valuable addition to the decision-maker's toolkit, providing a structured and transparent framework for making well-informed choices amidst complexity.


Full Text:

PDF

References


S. K. Sahoo and S. S. Goswami, “A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions,†Decis. Mak. Adv., vol. 1, no. 1, pp. 25–48, 2023.

F. Mumali, “Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review,†Comput. Ind. Eng., vol. 165, p. 107964, 2022.

A. Jahan and K. L. Edwards, “A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design,†Mater. Des., vol. 65, pp. 335–342, 2015.

A. K. Yadav, K. Singh, P. K. Srivastava, and P. S. Pandey, “I-MEREC-T: Improved MEREC-TOPSIS scheme for optimal network selection in 5G heterogeneous network for IoT,†Internet of Things, vol. 22, p. 100748, 2023.

A. İ. Karabulut, B. Yazici-Karabulut, P. Derin, M. I. Yesilnacar, and M. A. Cullu, “Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP area of Turkey,†Environ. Sci. Pollut. Res., vol. 29, no. 3, pp. 4044–4061, 2022.

I. Al Khoiry, R. Gernowo, and B. Surarso, “Fuzzy-AHP MOORA approach for vendor selection applications,†Regist. J. Ilm. Teknol. Sist. Inf., vol. 8, no. 1, pp. 24–37, 2022.

M. Akram, K. Zahid, and M. Deveci, “Multi-criteria group decision-making for optimal management of water supply with fuzzy ELECTRE-based outranking method,†Appl. Soft Comput., vol. 143, p. 110403, 2023.

S. Wankhede, P. Pesode, S. Pawar, and R. Lobo, “Comparison Study Of GRA, COPRAS And MOORA For Ranking Of Phase Change Material For Cooling System,†Mater. Today Proc., 2023.

B. Meni̇z and E. M. Özkan, “Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets,†Eng. Appl. Artif. Intell., vol. 119, p. 105812, 2023.

N. Vafaei, R. A. Ribeiro, and L. M. Camarinha-Matos, “Assessing normalization techniques for simple additive weighting method,†Procedia Comput. Sci., vol. 199, pp. 1229–1236, 2022.

I. Kaliszewski and D. Podkopaev, “Simple additive weighting—A metamodel for multiple criteria decision analysis methods,†Expert Syst. Appl., vol. 54, pp. 155–161, 2016.

N. Kumar, T. Singh, J. S. Grewal, A. Patnaik, and G. Fekete, “A novel hybrid AHP-SAW approach for optimal selection of natural fiber reinforced non-asbestos organic brake friction composites,†Mater. Res. Express, vol. 6, no. 6, p. 65701, 2019.

J. J. Thakkar and J. J. Thakkar, “Simple Additive Weightage (SAW),†Multi-Criteria Decis. Mak., pp. 27–32, 2021.

S. S. Bohra and A. Anvariâ€Moghaddam, “A comprehensive review on applications of multicriteria decisionâ€making methods in power and energy systems,†Int. J. Energy Res., vol. 46, no. 4, pp. 4088–4118, 2022.

Y. Li and Z. Hu, “A review of multi-attributes decision-making models for offshore oil and gas facilities decommissioning,†J. Ocean Eng. Sci., vol. 7, no. 1, pp. 58–74, 2022.

J. E. T. Akinsola, O. Awodele, S. O. Kuyoro, and F. A. Kasali, “Performance evaluation of supervised machine learning algorithms using multi-criteria decision making techniques,†in Proceedings of the International Conference on Information Technology in Education and Development (ITED), 2019, pp. 17–34.

M. I. Panjaitan, “Simple Additive Weighting (SAW) method in Determining Beneficiaries of Foundation Benefits,†Login J. Teknol. Komput., vol. 13, no. 1, pp. 19–25, 2019.

Ó. Santiago, M. A. Raso, E. Navarro, and T. J. Leo, “Selection of thermoplastic polymers for use as bipolar plates in direct methanol fuel cell applications,†Mater. Des., vol. 183, p. 108148, 2019.

W. Abrams et al., “Delineation of groundwater potential (GWP) in the northern United Arab Emirates and Oman using geospatial technologies in conjunction with Simple Additive Weight (SAW), Analytical Hierarchy Process (AHP), and Probabilistic Frequency Ratio (PFR) techniques,†J. Arid Environ., vol. 157, pp. 77–96, 2018.

K. Pipyros, C. Thraskias, L. Mitrou, D. Gritzalis, and T. Apostolopoulos, “A new strategy for improving cyber-attacks evaluation in the context of Tallinn Manual,†Comput. Secur., vol. 74, pp. 371–383, 2018.

S. Akcan and M. Güldeş, “Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital,†J. Healthc. Eng., vol. 2019, 2019.

H. Aljaghoub et al., “Comparative analysis of various oxygen production techniques using multi-criteria decision-making methods,†Int. J. Thermofluids, vol. 17, p. 100261, 2023.

H. Taherdoost, “Analysis of simple additive weighting method (SAW) as a multiattribute decision-making technique: A step-by-step guide,†J. Manag. Sci. Eng. Res., vol. 6, no. 1, pp. 21–24, 2023.

C. W. Churchman and R. L. Ackoff, “An approximate measure of value,†J. Oper. Res. Soc. Am., vol. 2, no. 2, pp. 172–187, 1954.




DOI: https://doi.org/10.35314/isi.v8i2.3433

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


This Journal has been listed and indexed in :

Crossref logo Find in a library with WorldCat

Copyright of Jurnal Inovtek Polbeng - Seri Informatika (ISSN: 2527-9866)

Creative Commons License
ISI: Inovtek Polbeng Seri Informatikan is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Editorial Office :
Pusat Penelitian dan Pengabdian kepada Masyarakat
 Politeknik Negeri Bengkalis 
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711 
E-mail: [email protected]
www.polbeng.ac.id

Web
Analytics
View My Stats