Optimization of Rubber Sheet Rolling Machine Parameters using a Taguchi-based TOPSIS Linear Programming Model

Authors

  • Surasit Phokha Department of Mechanical and Mechatronics Engineering, Faculty of Engineering and Industrial Technology, Kalasin University, Kalasin, Thailand
  • Chailai Sasen Department of Mechanical and Mechatronics Engineering, Faculty of Engineering and Industrial Technology, Kalasin University, Kalasin, Thailand
  • Pariwat Nasawat Department of Logistics and Process Engineering, Faculty of Industrial Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand
  • Nattapat Kanchanaruangrong Department of Industrial Management Engineering, Faculty of Industrial Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand
Volume: 15 | Issue: 1 | Pages: 20508-20516 | February 2025 | https://doi.org/10.48084/etasr.9718

Received: 26 November 2024 | Revised: 20 December 2024 | Accepted: 1 January 2025 | Online: 22 January 2025


Corresponding author: Nattapat Kanchanaruangrong

Abstract

The Multi-Response Optimization (MRO) problem is a critical aspect of the engineering design, particularly in improving process efficiency and product quality. This study focuses on optimizing the parameters for a rubber sheet rolling machine, a vital component of Thailand's natural rubber industry. The objective is to enhance its operational efficiency and product consistency by addressing key criteria, such as production time and rubber sheet thickness. A novel approach integrating the Taguchi method and the Technique for Order Preference by Similarity to Ideal Solution Linear Programming (TOPSIS-LP) model is proposed. The Taguchi method systematically designs experiments, while the Preference by Similarity to Ideal Solution (TOPSIS) model consolidates multiple performance indicators into a single optimal solution. Optimal roller gaps of 4.5 mm, 3.0 mm, 2.0 mm, and 0.1 mm for the first, second, third, and fourth roller pairs, were, respectively, identified. The results demonstrated a reduction in rubber sheet thickness to 2.06 mm (5.94% improvement) and production time to 9.71 seconds per sheet (1.33% improvement) compared to the original settings. The qualitative analysis confirmed the robustness and reliability of the optimized parameters, achieving consistent results across various evaluation methods. This study presents a significant advancement in the MRO problem, offering a robust framework applicable to similar challenges in industrial settings. The findings provide a foundation for future automation and optimization efforts, driving sustainable improvements in the manufacturing efficiency and product quality.

Keywords:

rubber sheet rolling machine, multi-response optimization, TOPSIS, linear programming, Taugchi method

Downloads

Download data is not yet available.

References

P. Sungkaew, "Factors affecting natural rubber prices in Thailand," International Journal of Economics and Business Research, vol. 27, no. 3, pp. 489–510, Jan. 2024.

European Forest Institute, "Thailand’s natural rubber producers are preparing for new market requirements," Jun. 2024.

S. R. Hanivia and Suprehatin, "The Effect of Agreed Export Tonnage Scheme (AETS) Policy on Indonesia’s Natural Rubber Exports to Japan," Agriecobis : Journal of Agricultural Socioeconomics and Business, vol. 5, no. 1, pp. 12–21, Mar. 2022.

T. Saeheaw, "Application of integrated CRITIC and GRA-based Taguchi method for multiple quality characteristics optimization in laser-welded blanks," Heliyon, vol. 8, no. 11, Nov. 2022, Art. no. e11349.

S. Kaziz, I. Ben Romdhane, F. Echouchene, and M. H. Gazzah, "Numerical simulation and optimization of AC electrothermal microfluidic biosensor for COVID-19 detection through Taguchi method and artificial network," The European Physical Journal Plus, vol. 138, no. 1, Jan. 2023, Art. no. 96.

M. N. Ahmad et al., "Application of Taguchi Method to Optimize the Parameter of Fused Deposition Modeling (FDM) Using Oil Palm Fiber Reinforced Thermoplastic Composites," Polymers, vol. 14, no. 11, Jan. 2022, Art. no. 2140.

A. Sriburum, N. Wichapa, and W. Khanthirat, "A Novel TOPSIS Linear Programming Model Based on the Taguchi Method for Solving the Multi-Response Optimization Problems: A Case Study of a Fish Scale Scraping Machine," Engineered Science, vol. Volume 23 (June 2023), no. 0, May 2023, Art. no. 882.

F. H. Anwar, H. El-Hassan, M. Hamouda, A. El-Mir, S. Mohammed, and K. H. Mo, "Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method," Sustainability, vol. 14, no. 14, Jan. 2022, Art. no. 8767.

B. Niu, M. Shi, Z. Zhang, Y. Li, Y. Cao, and S. Pan, "Multi-objective optimization of supply air jet enhancing airflow uniformity in data center with Taguchi-based grey relational analysis," Building and Environment, vol. 208, Jan. 2022, Art. no. 108606.

P. To-on, N. Wichapa, and W. Khanthirat, "A novel TOPSIS linear programming model based on response surface methodology for determining optimal mixture proportions of lightweight concrete blocks containing sugarcane bagasse ash," Heliyon, vol. 9, no. 7, Jul. 2023, Art. no. e17755.

N. Pawaree, S. Phokha, and C. Phukapak, "Multi-response optimization of charcoal briquettes process for green economy using a novel TOPSIS linear programming and genetic algorithms based on response surface methodology," Results in Engineering, vol. 22, Jun. 2024, Art. no. 102226.

W. Phuangpornpitak, W. Boonchom, K. Suphan, W. Chiengkul, and T. Tantipanichkul, "Application of TOPSIS-LP and New Routing Models for the Multi-Criteria Tourist Route Problem: The Case Study of Nong Khai, Thailand," Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp. 14929–14938, Aug. 2024.

A. Lawong, A. Kejornrak, N. Kriengkorakot, and P. Kriengkorakot, "A BWM-TOPSIS Linear Programming Model for Evaluating the Performance of Health-Promoting Hospitals with McKinsey 7s Framework in Organizational Management," Journal of Current Science and Technology, vol. 14, no. 2, 2024, Art. no. 23.

S. K. Georgantzinos, G. Kastanos, A. D. Tseni, and V. Kostopoulos, "Efficient optimization of the multi-response problem in the taguchi method through advanced data envelopment analysis formulations integration," Computers & Industrial Engineering, vol. 197, Nov. 2024, Art. no. 110618.

S. Janga, A. N. Raut, M. Adamu, Y. E. Ibrahim, and M. Albuaymi, "Multi-response optimization of thermally efficient RC-based geopolymer binder using response surface methodology approach," Developments in the Built Environment, vol. 19, Oct. 2024, Art. no. 100528.

R. Devaraj, S. K. Mahalingam, B. Esakki, A. Astarita, and S. Mirjalili, "A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process," Expert Systems with Applications, vol. 199, Aug. 2022, Art. no. 116965.

A. Mehmood, M. Zunaid, and A. K. Madan, "Multi-objective optimization and performance improvement of CD nozzle design parameters for cold spray coating process using RSM, ANN and GA," Materials Today Communications, vol. 40, Aug. 2024, Art. no. 109446.

X. Ma et al., "Optimization of process parameters for Trifolium pratense L. seed granulation coating using GA-BP neural network," Heliyon, vol. 10, no. 18, Sep. 2024, Art. no. e38003.

N. V. Cuong and N. L. Khanh, "Parameter Selection to Ensure Multi-Criteria Optimization of the Taguchi Method Combined with the Data Envelopment Analysis-based Ranking Method when Milling SCM440 Steel," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7551–7557, Oct. 2021.

K. Ananthakumar, D. Rajamani, E. Balasubramanian, and J. Paulo Davim, "Measurement and optimization of multi-response characteristics in plasma arc cutting of Monel 400TM using RSM and TOPSIS," Measurement, vol. 135, pp. 725–737, Mar. 2019.

V. Kavimani, P. M. Gopal, S. K. Ramakrishnan, J. Giri, A. Alarifi, and T. Sathish, "Predictive modelling and optimization of WEDM parameter for Mg–Li alloy using ANN integrated CRITIC-WASPAS approach," Heliyon, vol. 10, no. 15, Aug. 2024, Art. no. e35194.

C. J. Slebi-Acevedo, I. M. Silva-Rojas, P. Lastra-González, P. Pascual-Muñoz, and D. Castro-Fresno, "Multiple-response optimization of open graded friction course reinforced with fibers through CRITIC-WASPAS based on Taguchi methodology," Construction and Building Materials, vol. 233, Feb. 2020, Art. no. 117274.

P. Chokkalingam, H. El-Hassan, A. El-Dieb, and A. El-Mir, "Multi-response optimization of ceramic waste geopolymer concrete using BWM and TOPSIS-based taguchi methods," Journal of Materials Research and Technology, vol. 21, pp. 4824–4845, Nov. 2022.

P. Chokkalingam, H. El-Hassan, A. El-Dieb, and A. El-Mir, "Multi-response optimization of ceramic waste geopolymer concrete using BWM and TOPSIS-based taguchi methods," Journal of Materials Research and Technology, vol. 21, pp. 4824–4845, Nov. 2022.

B. Majhi, R. Ranjan, and S. Mondal, "Multi response optimization of recycled aggregate based alkali-activated concrete using Taguchi-Grey Relational Analysis Method," Construction and Building Materials, vol. 441, Aug. 2024, Art. no 137519.

D. Tiwari and V. Soni, "Multi-response optimization in the ORC-VCR system using the EDAS Method," Energy and Buildings, vol. 313, Jun. 2024, Art. no. 114281, https://doi.org/10.1016/j.enbuild.2024.114281.

P. K. Jadhav, R. S. N. Sahai, S. Solanke, and S. H. Gawande, "Multi-objective optimization of EN19 steel milling parameters using Taguchi, ANOVA, and TOPSIS approaches," Journal of Alloys and Metallurgical Systems, vol. 7, Sep. 2024, Art. no. 100102.

V. C. Nguyen, T. D. Nguyen, and D. H. Tien, "Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6775–6780, Feb. 2021.

F. K. Naser and T. A. Khaleel, "Optimal Airport Selection for Iraq’s Infrastructure Development: A TOPSIS Analysis," Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp. 15570–15574, Aug. 2024.

S. Chakraborty, "TOPSIS and Modified TOPSIS: A comparative analysis," Decision Analytics Journal, vol. 2, Mar. 2022, Art. no. 100021.

N. Wichapa and S. Sodsoon, "A Relative Closeness Coefficient Model Based on the Distance of Virtual DMUs Cross-Efficiency Method for Ranking Thai Economic Development.," Engineering Letters, vol. 31, no. 1, 2023.

C.-L. Hwang and K. Yoon, "Methods for Multiple Attribute Decision Making," in Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey, C.-L. Hwang and K. Yoon, Eds. Berlin, Germany: Springer, 1981, pp. 58–191.

E. K. Zavadskas, Z. Turskis, J. Antucheviciene, and A. Zakarevicius, "Optimization of Weighted Aggregated Sum Product Assessment," Elektronika ir Elektrotechnika, vol. 122, no. 6, pp. 3–6, Jun. 2012.

E. K. Zavadskas and Z. Turskis, "A new additive ratio assessment (ARAS) method in multicriteria decision‐making," Ukio Technologinis ir Ekonominis Vystymas, vol. 16, no. 2, pp. 159–172, Jan. 2010.

Downloads

How to Cite

[1]
Phokha, S., Sasen, C., Nasawat, P. and Kanchanaruangrong, N. 2025. Optimization of Rubber Sheet Rolling Machine Parameters using a Taguchi-based TOPSIS Linear Programming Model. Engineering, Technology & Applied Science Research. 15, 1 (Feb. 2025), 20508–20516. DOI:https://doi.org/10.48084/etasr.9718.

Metrics

Abstract Views: 161
PDF Downloads: 124

Metrics Information

License

Copyright (c) 2025 Nattapat Kanchanaruangrong, Surasit Phokha, Chailai Sasen, Pariwat Nasawat

Creative Commons License

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

Authors who publish with this journal agree to the following terms:

- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.

Crossref
Scopus
Google Scholar
Europe PMC