| Summary: | Supply chain management models integrate upstream and downstream organizations to enable rapid response to consumer needs. For the manufacturing industry, the process quality of suppliers is thus the foundation of sustainable growth for firms and an important indicator of whether a firm can effectively reduce waste and protect the environment. To this end, this paper proposes a model of supplier selection for manufacturers based on process quality assessment. First of all, Six Sigma quality index <inline-formula><math display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula> is adopted as the assessment tool to conveniently measure the quality level of process. Practical applications require estimates of <inline-formula><math display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula> from the data collected to analyze the process quality of each supplier. The fact that uncertainty is unavoidable in the collected data means that using the crisp estimate of <inline-formula><math display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula> can lead to misjudgment of the process quality. To enhance the reliability of evaluation and reduce the risk of misjudgment, the fuzzy number <inline-formula><math display="inline"><semantics><mrow><msub><mover accent="true"><mover accent="true"><mi>Q</mi><mo stretchy="false">^</mo></mover><mo stretchy="false">˜</mo></mover><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula> is proposed to perform the fuzzy testing of two indices <inline-formula><math display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>p</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula> provided by suppliers with the intent of making reliable decisions on supplier selection.
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