Narathip Pawaree 1, Chawisorn Phukapak 2*, Sorawin Phukapak 3*, Wasana Phuangpornpitak 4, Narong Wichapa 5

1 Department of Industrial Management, Faculty of Technology, Udon Thani Rajabhat University, Udon Thani 41000, Thailand

2 Department of Energy and Environment Engineering, Faculty of Engineering, Rajabhat Maha Sarakham University, Mahasarakham 40000, Thailand

3 Department of Energy Engineering, Faculty of Technology, Udon Thani Rajabhat University, Udon Thani 41000, Thailand

4 Department of Logistics Manangement, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Isan Khonkaen Campus, Khon Kaen 40002, Thailand

5 Department of Industrial Engineering, Faculty of Engineering and Industrial Technology, Kalasin University, Kalasin, 46000 Thailand

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ABSTRACT

Productivity improvement is a more complicated and challenging issue to resolve. There is a solution to the multi-response optimization problem. This study proposes a novel approach to optimizing parameters in the cotton swab process using a hybrid Multiple criteria decision-making (MCDM) method based on Response surface methodology (RSM). Simultaneously enhance decision-making efficiency by integrating Technique for order preference by similarity to ideal solution (TOPSIS) and Weighted aggregated sum product assessment (WASPAS) methodology. The optimal conditions were a speed rate of 1300 rpm, a thickness of 1.5 g/m, and a slidver gap of 20 cm, while the defect and downtime were 2.54 kg and 360.67 mins, respectively. The confirmation demonstrates that the actual practical and predicted results were similar. The proposed method's total cost improves from condition A to condition B by 33.86% and 2.45%, respectively. Furthermore, the energy consumption of cotton was found to be 6,208.08 MJ. The total energy consumption may be divided into three main categories: electric energy, thermal energy, and manual energy, which account for 43.12%, 55.73%, and 1.15%, respectively. The entropy reaches its maximum value in the drying and packaging units, which have inefficiencies of 91.24% and 4.35%, respectively, while the combined inefficiencies in the other five units are only 4.41%. This study contributes to advancing decision-making processes and offers insights for enhancing operational efficiency in the pharmaceutical or other manufacturer sector.


Keywords: Energy consumption, Multiple criteria decision-making, Response surface methodology, Weighted aggregated sum product assessment


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ARTICLE INFORMATION

Received: 2024-06-19
Revised: 2024-09-08
Accepted: 2024-10-07
Available Online: 2024-12-30


Cite this article:

Pawaree, N., Phukapak, C., Phukapak, S., Phuangpornpitak, W., Wichapa, N. 2024. Optimization parameters for the cotton swab process using hybrid MCDM methods based on response surface methodology. International Journal of Applied Science and Engineering, 21, 2024216. https://doi.org/10.6703/IJASE.202412_21(5).005

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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