Open Access

ARTICLE

An Enhanced VIKOR and Its Revisit for the Manufacturing Process Application

Ting-Yu Lin¹, Kuo-Chen Hung^2,*, Josef Jablonsky³, Kuo-Ping Lin¹

1 Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, 407, Taiwan
2 Department of Multimedia Game Development and Application, Hungkuang University, Taichung, 43302, Taiwan
3 Department of Econometrics, Prague University of Economics and Business, W. Churchill Sq. 4, 130 67 Praha 3, Prague, 120 00, Czech Republic

* Corresponding Author: Kuo-Chen Hung. Email:

Computers, Materials & Continua 2025, 83(2), 1901-1927. https://doi.org/10.32604/cmc.2025.063543

Received 17 January 2025; Accepted 17 March 2025; Issue published 16 April 2025

Abstract

VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) has been developed and applied for over twenty-five years, gaining recognition as a prominent multi-criteria decision-making (MCDM) method. Over this period, numerous studies have explored its applications, conducted comparative analyses, integrated it with other methods, and proposed various modifications to enhance its performance. This paper aims to delve into the fundamental principles and objectives of VIKOR, which aim to maximize group utility and minimize individual regret simultaneously. However, this study identifies a significant limitation in the VIKOR methodology: its process amplifies the weight of individual regret, and the calculated index values further magnify this effect. This phenomenon not only affects the decision-making balance but also leads to the critical issue of ranking reversal, which undermines the reliability of the results. To address these shortcomings, this paper introduces an enhanced version of VIKOR that mitigates the impact of individual regret while preserving the method’s original objectives. This paper validates the effectiveness of the proposed enhanced VIKOR method using various MCDM approaches, including (1) ten different versions of VIKOR and (2) eleven commonly used MCDM methods. Furthermore, this study confirms that the enhanced VIKOR can be effectively applied across various existing VIKOR versions, broadening its adaptability. A sensitivity analysis is additionally performed by adjusting the criteria weights using the ordered weighted averaging method. An illustrative case study involving the selection of a manufacturing process validates the proposed model. The results show that the proposed model is robust and capable of producing more reliable outcomes. It also demonstrates its practicality and effectiveness in real-world decision-making scenarios.

---

Keywords

---