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Multi-scenario Group Decision-Making Based on TOPSIS for Deep Hole Drill Parameter Optimization

  • Research Article-Mechanical Engineering
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Abstract

The group decision-making based on Technique for Order Preference by Similarity to an ideal Solution (TOPSIS) is widely used in multi-coupling objective optimization. However, this method lacks objective standards for determining the weights of decision makers (DMs) and assigning weights to evaluation criteria, which will affect the rationality and accuracy of the decision-making results. Therefore, a multi-scenario group decision-making model based on TOPSIS is proposed in this paper. Based on their individual characteristics, different DMs are assigned with different weights; four group decision-making scenarios are established with different weighting methods of criteria for different scenarios proposed, aiming to enhance objectivity and efficiency in the determination of decision-makers weight and the weighting process of criteria and consequently improve accuracy of group decision-making results. The proposed multi-scenario group decision-making model is applied to the optimization of deep hole drilling processing, and better processing parameters are obtained, which verifies the effectiveness and practicability of the group decision making model.

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Funding

This work is supported by the National Natural Science Foundation of China (No. 52075350) and the Special City School Strategic Cooperation Project of Sichuan University and Yibin (2020CDYB-37).

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Authors and Affiliations

  1. School of Mechanical Engineering, Sichuan University, Chengdu, 610065, China

    Changfu Wan, Wenqiang Li, Sitong Ling, Chuanxiao Li & Guang Yang

  2. Innovation Method and Creative Design Key Laboratory of Sichuan Province, Chengdu, 610065, China

    Changfu Wan, Wenqiang Li, Sitong Ling, Chuanxiao Li & Guang Yang

Authors
  1. Changfu Wan
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  2. Wenqiang Li
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  3. Sitong Ling
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  4. Chuanxiao Li
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  5. Guang Yang
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Correspondence to Wenqiang Li.

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Wan, C., Li, W., Ling, S. et al. Multi-scenario Group Decision-Making Based on TOPSIS for Deep Hole Drill Parameter Optimization. Arab J Sci Eng 47, 15779–15795 (2022). https://doi.org/10.1007/s13369-022-06777-7

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  • DOI: https://doi.org/10.1007/s13369-022-06777-7

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