Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation
Limiting manufacturing-caused part variations by size, location, orientation, and form tolerances primarily aims to assure the total assembly quality. At the same time, however, the manufacturing conditions and, thus, the manufacturing costs are already predefined in the product development phase. T...
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
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FAU University Press
2025
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| الوصول للمادة أونلاين: | ONIX_20251120T103930_9783961477203_31 |
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| _version_ | 1869518585908428800 |
|---|---|
| author | Roth, Martin |
| author_browse | Roth, Martin |
| author_facet | Roth, Martin |
| author_sort | Roth, Martin |
| collection | Directory of Open Access Books |
| description | Limiting manufacturing-caused part variations by size, location, orientation, and form tolerances primarily aims to assure the total assembly quality. At the same time, however, the manufacturing conditions and, thus, the manufacturing costs are already predefined in the product development phase. The method of sampling-based tolerance-cost optimization, a combination of statistical tolerance analysis based on sampling techniques and metaheuristic optimization algorithms, enables an automated and optimal allocation of tolerance values and, thus, solves the conflict of objectives between costs and quality. However, limitations in effectiveness and efficiency still prevent its profitable application for solving complex, industry-relevant problems and exploiting hidden cost potentials. To close the current research gaps, the individual methods involved, in particular the sampling, non-conformance rate estimation and surrogate model-based optimization, are (further) developed and harmonized in one common approach, ensuring that reliable optimization results can be obtained in adequate computing times. Its extension to simultaneous machine selection and allocation with different batch sizes and selective assembly, considering machine-specific part tolerance distributions and geometrical, mutually dependent tolerances, significantly expands the context of use to practical aspects. A final evaluation of the developed framework proves its potential for a profitable application to practical problems and serves to identify further research potentials. |
| format | Online |
| id | doab-20.500.12854ir-169079 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | FAU University Press |
| publisherStr | FAU University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1690792025-11-22T05:41:27Z Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation Roth, Martin Optimierung Produktionstechnik Surrogate modeling Tolerance-cost optimization Herstellungskosten Maschinenbau Ingenieurwissenschaften Sampling Tolerance allocation GD&T Statistik Abweichung Qualität Tolerance analysis Toleranz Produktentwicklung Optimization Quality assurance Metaheuristic Metaheuristik thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering Limiting manufacturing-caused part variations by size, location, orientation, and form tolerances primarily aims to assure the total assembly quality. At the same time, however, the manufacturing conditions and, thus, the manufacturing costs are already predefined in the product development phase. The method of sampling-based tolerance-cost optimization, a combination of statistical tolerance analysis based on sampling techniques and metaheuristic optimization algorithms, enables an automated and optimal allocation of tolerance values and, thus, solves the conflict of objectives between costs and quality. However, limitations in effectiveness and efficiency still prevent its profitable application for solving complex, industry-relevant problems and exploiting hidden cost potentials. To close the current research gaps, the individual methods involved, in particular the sampling, non-conformance rate estimation and surrogate model-based optimization, are (further) developed and harmonized in one common approach, ensuring that reliable optimization results can be obtained in adequate computing times. Its extension to simultaneous machine selection and allocation with different batch sizes and selective assembly, considering machine-specific part tolerance distributions and geometrical, mutually dependent tolerances, significantly expands the context of use to practical aspects. A final evaluation of the developed framework proves its potential for a profitable application to practical problems and serves to identify further research potentials. 2025-11-21T05:09:07Z 2025-11-21T05:09:07Z 2025-11-20T09:42:45Z 2024 book ONIX_20251120T103930_9783961477203_31 https://library.oapen.org/handle/20.500.12657/108302 9783961477203 9783961477197 https://directory.doabooks.org/handle/20.500.12854/169079 eng FAU Studien aus dem Maschinenbau open access image/jpeg Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/108302/1/9783961477203.pdf FAU University Press 10.25593/978-3-96147-720-3 10.25593/978-3-96147-720-3 2c600dea-eece-4066-87be-da335e323fdb 9783961477203 9783961477197 337 Erlangen open access |
| spellingShingle | Optimierung Produktionstechnik Surrogate modeling Tolerance-cost optimization Herstellungskosten Maschinenbau Ingenieurwissenschaften Sampling Tolerance allocation GD&T Statistik Abweichung Qualität Tolerance analysis Toleranz Produktentwicklung Optimization Quality assurance Metaheuristic Metaheuristik thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering Roth, Martin Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title | Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title_full | Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title_fullStr | Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title_full_unstemmed | Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title_short | Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation |
| title_sort | sampling based tolerance cost optimization the key to optimal tolerance allocation |
| topic | Optimierung Produktionstechnik Surrogate modeling Tolerance-cost optimization Herstellungskosten Maschinenbau Ingenieurwissenschaften Sampling Tolerance allocation GD&T Statistik Abweichung Qualität Tolerance analysis Toleranz Produktentwicklung Optimization Quality assurance Metaheuristic Metaheuristik thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering |
| topic_facet | Optimierung Produktionstechnik Surrogate modeling Tolerance-cost optimization Herstellungskosten Maschinenbau Ingenieurwissenschaften Sampling Tolerance allocation GD&T Statistik Abweichung Qualität Tolerance analysis Toleranz Produktentwicklung Optimization Quality assurance Metaheuristic Metaheuristik thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering |
| url | ONIX_20251120T103930_9783961477203_31 |
| work_keys_str_mv | AT rothmartin samplingbasedtolerancecostoptimizationthekeytooptimaltoleranceallocation |