Research and application of high-value cutting tool remanufacturability evaluation based on entropy-weight method and set pair analysis

Sep 30, 2026

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High-value metal cutting tool remanufacturing is evaluated under multi-criteria and uncertainty conditions by integrating set pair analysis with information entropy. Nine indicators covering economy, technology, and environment are selected, then modeled as benefittype and costtype metrics within a set pair system using similarity, difference, and opposition. Set pair association degrees are computed and coupled with entropy-weighted objective indicator weights to build an entropy-weighted set pair comprehensive linkage model. Remanufacturability levels are finally identified using confidence criteria, with case results matching actual processing conditions.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages17

Reading Time43 min

AccessFree to download

Remanufacturability evaluation framework

Indicator selection and classification

Set pair analysis modeling

Entropy-weighted objective weighting

Confidence-based remanufacturability level identification

Case study validation

Comparison with actual processing conditions

[www. nature.com/scientificreports](www. nature.com/scientificreports) OPEN Research and application of high-value cutting tool remanufacturability evaluation based on entropy-weight method and set pair analysis Leijie Fu1, Yv Bai1, Hui Yao1, Yan Cao2􀀍, Pengjun Zuo3, Fuyang Du4, Xiaoqing Hu5 & Zhiqin Zhang6 In response to the multi-criteria and uncertainty characteristics of high-value metal cutting tool remanufacturing, a combination of set pair analysis theory and in-formation entropy is applied to evaluate the remanufacturability of high-value tools. First, considering the remanufacture characteristics of high-value cutting tools, nine indicators are selected as evaluation metrics from the perspectives of economy, technology, and environment. Second, set pair analysis is introduced into the remanufacturability evaluation, analyzing the remanufacturability of high-value tools from the perspectives of similarity, difference, and opposition, and a set pair system is constructed for the evaluation indicators and grading standards. Then, the remanufacturability indicators are classified into two categories: benefittype indicators and costtype indicators. Based on set pair analysis, the association degree of each indicator is calculated. Information entropy theory is introduced to compute the objective weight of the evaluation indicators and is coupled into the association degree of each indicator, thereby constructing an entropy-weighted set pair comprehensive linkage evaluation model for remanufacturability. Finally, the remanufacturability level is determined based on confidence identification criteria. A case study is conducted using five worn metal cutting tools, and the evaluation results are found to be in good agreement with the actual processing conditions. The analysis results indicate that the remanufacturability evaluation model based on set pair analysis can effectively address the multi-criteria and uncertainty in remanufacturability evaluation. The use of entropy-weighting to determine indicator weights improves the objectivity of the evaluation. The introduction of confidence criteria for determining remanufacturability levels effectively compensates for the distortion of evaluation results caused by the maximum membership principle. This method provides a reasonable evaluation process and reliable results, offering a new approach for evaluating the remanufacturability of high-value tools. Keywords Remanufacturability evaluation, High-value cutting tool remanufacturing, Entropy-weight method, Set pair analysis, Carbon emission calculation d The remanufacturing technology refers to the process of restoring the original dimensions, shape, and accuracy of warn out parts using specific technical methods, and ensuring that their service performance is close to or reaches the level of new products1. Remanufacturing not only extends the lifespan of products, but also reduces production costs to only 50% of that of new products, saves 60% of energy, and decreases pollution to the atmosphere and water resources by nearly 80%2. According to statistics, the main source of environmental pollution emissions comes from the manufacturing industry. Therefore, the vigorous development of remanufacturing 1School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China. 2Faculty of Computer Science and Engineering, Xi’an Technological University, Xi’an 710021, China. 3Shaanxi Machinery Research Institute, Xi’an 710000, China. 4Sinotruk (Jinan) Intelligent Aftermarket Service Co., Ltd., Jinan 250101, China. 5College of Intelligent Science and Engineering, Yantai Nanshan University, Yantai 265713, China. 6Department of Technology Center, Chongqing Caeri Power Technology Co., Ltd., Chongqing 400000, China. 􀀍 email: [caoyan@xatu.edu.cn](caoyan@xatu.edu.cn) [www. nature.com/scientificreports/](www. nature.com/scientificreports/) technology is of great significance for ensuring the sustainable de

FAQs

What problem does the proposed model address?

It addresses multi-criteria and uncertainty in evaluating the remanufacturability of high-value metal cutting tools.

How are evaluation indicators selected and organized?

Nine indicators are chosen from economy, technology, and environment, and then classified into benefittype and costtype indicators.

How are indicator weights determined in the method?

Information entropy is used to compute objective indicator weights, which are coupled into the set pair association degree results.

How are final remanufacturability levels determined and validated?

Confidence identification criteria determine remanufacturability levels, and a case study using five worn metal cutting tools shows evaluation results in good agreement with actual processing conditions.

Sep 30, 2026

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