An intelligent approach to robust multi-response process design
Само за регистроване кориснике
2011
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In order to meet strict customer demands in a global highly-complex industrial sector, it is necessary to design manufacturing processes based on a clear understanding of the customer's requirements and usage of a product, by translating this knowledge into the process parameter design. This paper presents an integrative, general and intelligent approach to the multi-response process design, based on Taguchi's method, multivariate statistical methods and artificial intelligence techniques. The proposed model considers process design in a general case where analytical relations and interdependency in a process are unknown, thus making it applicable to various types of processes, and incorporates customer demands for several (possible correlated) characteristics of a product. The implementation of the suggested approach is presented on a study that discusses the design of a thermosonic copper wire bonding process in the semiconductor industry, for assembly of microelectronic devices used... in automotive applications. The results confirm the effectiveness of the approach in the presence of different types of correlated product quality characteristics.
Кључне речи:
Taguchi method / multivariate statistical techniques / multi-response design / genetic algorithm / artificial neural networksИзвор:
International Journal of Production Research, 2011, 49, 17, 5079-5097Издавач:
- Taylor & Francis Ltd, Abingdon
DOI: 10.1080/00207543.2010.511476
ISSN: 0020-7543
WoS: 000299880500002
Scopus: 2-s2.0-79955859364
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Šibalija, Tatjana AU - Majstorović, Vidosav D. AU - Miljković, Zoran PY - 2011 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1177 AB - In order to meet strict customer demands in a global highly-complex industrial sector, it is necessary to design manufacturing processes based on a clear understanding of the customer's requirements and usage of a product, by translating this knowledge into the process parameter design. This paper presents an integrative, general and intelligent approach to the multi-response process design, based on Taguchi's method, multivariate statistical methods and artificial intelligence techniques. The proposed model considers process design in a general case where analytical relations and interdependency in a process are unknown, thus making it applicable to various types of processes, and incorporates customer demands for several (possible correlated) characteristics of a product. The implementation of the suggested approach is presented on a study that discusses the design of a thermosonic copper wire bonding process in the semiconductor industry, for assembly of microelectronic devices used in automotive applications. The results confirm the effectiveness of the approach in the presence of different types of correlated product quality characteristics. PB - Taylor & Francis Ltd, Abingdon T2 - International Journal of Production Research T1 - An intelligent approach to robust multi-response process design EP - 5097 IS - 17 SP - 5079 VL - 49 DO - 10.1080/00207543.2010.511476 ER -
@article{ author = "Šibalija, Tatjana and Majstorović, Vidosav D. and Miljković, Zoran", year = "2011", abstract = "In order to meet strict customer demands in a global highly-complex industrial sector, it is necessary to design manufacturing processes based on a clear understanding of the customer's requirements and usage of a product, by translating this knowledge into the process parameter design. This paper presents an integrative, general and intelligent approach to the multi-response process design, based on Taguchi's method, multivariate statistical methods and artificial intelligence techniques. The proposed model considers process design in a general case where analytical relations and interdependency in a process are unknown, thus making it applicable to various types of processes, and incorporates customer demands for several (possible correlated) characteristics of a product. The implementation of the suggested approach is presented on a study that discusses the design of a thermosonic copper wire bonding process in the semiconductor industry, for assembly of microelectronic devices used in automotive applications. The results confirm the effectiveness of the approach in the presence of different types of correlated product quality characteristics.", publisher = "Taylor & Francis Ltd, Abingdon", journal = "International Journal of Production Research", title = "An intelligent approach to robust multi-response process design", pages = "5097-5079", number = "17", volume = "49", doi = "10.1080/00207543.2010.511476" }
Šibalija, T., Majstorović, V. D.,& Miljković, Z.. (2011). An intelligent approach to robust multi-response process design. in International Journal of Production Research Taylor & Francis Ltd, Abingdon., 49(17), 5079-5097. https://doi.org/10.1080/00207543.2010.511476
Šibalija T, Majstorović VD, Miljković Z. An intelligent approach to robust multi-response process design. in International Journal of Production Research. 2011;49(17):5079-5097. doi:10.1080/00207543.2010.511476 .
Šibalija, Tatjana, Majstorović, Vidosav D., Miljković, Zoran, "An intelligent approach to robust multi-response process design" in International Journal of Production Research, 49, no. 17 (2011):5079-5097, https://doi.org/10.1080/00207543.2010.511476 . .