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Purpose Scatter in the outcome of repeated experiments is unavoidable due to measurement errors in addition to the non-linear nature of the output responses with unknown influential input parameters. It is a standard practice to select an orthogonal array in the Taguchi approach for tracing optimum input parameters by conducting a few number of experiments and confirm them through additional experimentation (if necessary). The purpose of this paper is to present a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method. Design/methodology/approach The modified Taguchi approach is proposed to find the optimum process parameters and the expected range of the output response. Findings This paper presents a simple methodology and its validation with existing test results in finding the expected range of the output response by suggesting modifications in the Taguchi method. Research limitations/implications Adequacy of this methodology should be examined by considering the test data on different materials and structures. Originality/value The introduction of Chauvenet’s criterion and opposing the signal-to-noise ratio transformation on repeated experiments of each test run will provide fruitful results and less computation burden.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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