A Novel Approach for Criteria Weight Determination: A Case Study in Machine Ranking
Received: 25 October 2025 | Revised: 17 November 2025 | Accepted: 25 November 2025 | Online: 7 December 2025
Corresponding author: Tran Van Dua
Abstract
Machine ranking plays a crucial role in manufacturing, influencing both economic efficiency and technical performance. However, this task is inherently complex because each machine must be evaluated simultaneously across multiple, often conflicting, criteria. This challenge highlights the need for Multi-Criteria Decision-Making (MCDM) methods. This study proposes a new criteria weighting approach, the SITDER method, that aims to improve the stability of machine ranking results across different MCDM techniques. SITDER integrates two methods: Skewness Impact Through Distributional Evaluation (SITDE) and Rank Order Centroid (ROC). In the first stage, SITDE is used to determine the relative importance of the criteria. In the second stage, ROC is applied to compute the final criterion weights. The effectiveness of SITDER was validated using two case studies involving the ranking of 13 handheld polishers and 12 grinding machines. In both examples, the rank correlation coefficients among the MCDM methods were consistently higher when using SITDER compared to SITDE alone. In Example 1, the average Spearman coefficient increased from 0.6282 (SITDE) to 0.739 (SITDER). In Example 2, it increased from 0.9643 to 0.9744. These results demonstrate that SITDER is a highly effective weighting method and a valuable addition to the set of available criteria weighting techniques.
Keywords:
weight method, SITDE method, ROC weight, SITDER method, MCDMDownloads
References
T. Avramova, T. Peneva, and A. Ivanov, "Overview of Existing Multi-Criteria Decision-Making (MCDM) Methods Used in Industrial Environments," Technologies, vol. 13, no. 10, Oct. 2025, Art. no. 444. DOI: https://doi.org/10.3390/technologies13100444
H. Li, W. Wang, L. Fan, Q. Li, and X. Chen, “A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting, and later defuzzification VIKOR,” Applied Soft Computing, vol. 91, June 2020, Art. no. 106207. DOI: https://doi.org/10.1016/j.asoc.2020.106207
A. M. Hagag, L. S. Yousef, and T. F. Abdelmaguid, "Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends," Mathematics, vol. 11, no. 3, Jan. 2023, Art. no. 631. DOI: https://doi.org/10.3390/math11030631
V. Moretti, C. Hluszko, D. A. R. Huarachi, A. L. de B. Alves, R. Salvador, and A. C. de Francisco, "Multi-criteria decision-making for equipment selection: A review focused on the triple bottom line," Produto & Produção, vol. 26, no. 1, pp. 21–44, Apr. 2025. DOI: https://doi.org/10.22456/1983-8026.133285
B. T. T. Trang, D. D. Tung, and R. Turmanidze, "A novel approach for criteria weighting to enhance ranking stability of alternatives for industrial equipment and material selection," Advanced Engineering Letters, vol. 4, no. 3, pp. 118–133, Sep. 2025. DOI: https://doi.org/10.46793/adeletters.2025.4.3.2
N. Anh Tu and B. Anh Huy, "A novel multi-criteria decision making procedure for saw machine selection in the mechanical machining," Journal of Science and Technology - HaUI, vol. 59, no. 3, June 2023. DOI: https://doi.org/10.57001/huih5804.2023.117
T. V. Dua, "Forklift selection by multi-criteria decision-making methods," Eastern-European Journal of Enterprise Technologies, vol. 5, no. 3 (125), pp. 95–101, Oct. 2023. DOI: https://doi.org/10.15587/1729-4061.2023.285791
T. V. Dua, "Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam," EUREKA: Physics and Engineering, no. 2, pp. 83–96, Mar. 2023. DOI: https://doi.org/10.21303/2461-4262.2023.002763
N. H. Son et al., "Choosing the best machine tool in mechanical manufacturing," EUREKA: Physics and Engineering, no. 2, pp. 97–109, Mar. 2023. DOI: https://doi.org/10.21303/2461-4262.2023.002771
R. Yin, M. N. A. Rahman, H. Hishamuddin, and I. M. Ikram, "Assessing Machine Tool Selection Process in Sustainable Production to Address Climate Change Based on Hybrid MCDM Methods," Engineering Journal, vol. 28, no. 9, pp. 67–77, Sept. 2024. DOI: https://doi.org/10.4186/ej.2024.28.9.67
V. G. Mandal Babalu Kumar, Dr Uttam Kumar, "CNC Machine tool selection using MCDM techniques and application of software SANNA," International Journal of Engineering Trends and Technology - IJETT, vol. 35, no. 7, 2016. DOI: https://doi.org/10.14445/22315381/IJETT-V35P267
D. D. Trung, N. X. Truong, and H. X. Thinh, "Combined PIPRECIA method and modified FUCA method for selection of lathe," Journal of Applied Engineering Science, vol. 20, no. 4, pp. 1355–1365, 2022. DOI: https://doi.org/10.5937/jaes0-39335
V. Kumar, P. Gupta, A. Mohata, and P. P. Das, "Selection of industrial arc welding robot using integrated PIPRECIA-TOPSIS model," AIP Conference Proceedings, vol. 2786, no. 1, June 2023, Art. no. 020001. DOI: https://doi.org/10.1063/5.0145509
D. D. Trung, D. V. Duc, N. C. Bao, N. H. Son, D. T. T. Thuy, and N. T. T. Nga, "R-RAM: A novel hybrid model for option ranking," Yugoslav Journal of Operations Research, no. 00, pp. 9–9, Online-First 2025, [Online]. Available: https://doiserbia.nb.rs/Article.aspx?ID=0354-02432500009T. DOI: https://doi.org/10.2298/YJOR240615009T
N. H. Son, D. V. Duc, and N. T. Mai, "The Combined PSI-ROC Weight Model," Engineering, Technology & Applied Science Research, vol. 15, no. 6, pp. 29235–29239, Dec. 2025. DOI: https://doi.org/10.48084/etasr.14497
D. D. Trung, H. T. Dung, N. C. Bao, and D. V. Duc, "A novel approach for determining criteria weights: application in ranking materials for mechanical manufacturing processes," Manufacturing Review, vol. 12, 2025 Art. no. 16. DOI: https://doi.org/10.1051/mfreview/2025014
N. T. Mai, N. C. Bao, D. V. Duc, T. V. Trung, and H. X. Thinh, "Calculating Criteria Weights Using the Rank Order Centroid Method when the Ranks are Guided by the Entropy Method," Engineering, Technology & Applied Science Research, vol. 15, no. 6, pp. 30514–30519, Dec. 2025. DOI: https://doi.org/10.48084/etasr.13744
E. K. Zavadskas and V. Podvezko, "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making, vol. 15, no. 02, pp. 267–283, Mar. 2016. DOI: https://doi.org/10.1142/S0219622016500036
Y. B. Gopisetty and H. R. Sama, "Skewness impact through distributional evaluation (SITDE) method: a new method in multi-criteria decision making," Journal of the Operational Research Society, vol. 76, no. 6, pp. 1204–1224, June 2025. DOI: https://doi.org/10.1080/01605682.2024.2416910
T. Varshney et al., “Investigation of rank order centroid method for optimal generation control,” Scientific Reports, vol. 14, no. 1, May 2024, Art. no. 11267. DOI: https://doi.org/10.1038/s41598-024-61945-z
D. D. Trung, "Application of TOPSIS and PIV Methods for Multi-Criteria Decision Making in Hard Turning Process," Journal of Machine Engineering, vol. 21, no. 4, pp. 57–71, Dec. 2021. DOI: https://doi.org/10.36897/jme/142599
D. D. Trung, "Using RAM method for optimal selection of flame retardant nanocomposite material fabrication solution," EPJ Applied Metamaterials, vol. 11, 2024, Art. no. 4. DOI: https://doi.org/10.1051/epjam/2024005
N. X. Truong, A. Ašonja, and D. D. Trung, "Enhancing Handheld Polishing Machine Selection: An Integrated Approach of Marcos Methods and Weight Determination Techniques," Applied Engineering Letters, vol. 8, no. 3, pp. 131–138, Sep. 2023. DOI: https://doi.org/10.18485/aeletters.2023.8.3.5
M. Aslantas, F. Kutlu Gündoğdu, and S. Moslem, "Evaluating the potential risks posed by autonomous vehicles by using a decomposed fuzzy multi-criteria decision-making model," Transportation Engineering, vol. 21, Sept. 2025, Art. no. 100372. DOI: https://doi.org/10.1016/j.treng.2025.100372
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