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

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.