Conceptual design of product structures based on WordNet hierarchy and association relation
Author
Abstract
Suggested Citation
DOI: 10.1007/s10845-022-01946-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Chih-Hsuan Wang, 2019. "Association rule mining and cognitive pairwise rating based portfolio analysis for product family design," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1911-1922, April.
- Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.
- Mirja Meyer & Marc-Thorsten Hütt & Julia Bendul, 2016. "The elementary flux modes of a manufacturing system: a novel approach to explore the relationship of network structure and function," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4145-4160, July.
- Malgorzata Kowalska & Magdalena Pazdzior & Anna Krzton-Maziopa, 2018. "Implementation of QFD method in quality analysis of confectionery products," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 439-447, February.
- Angus Jeang, 2019. "Robust DEA methodology via computer model for conceptual design under uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1221-1245, March.
- Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 3-16, January.
- Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "Correction to: A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 459-459, January.
- Malgorzata Kowalska & Magdalena Pazdzior & Anna Krzton-Maziopa, 2018. "Erratum to: Implementation of QFD method in quality analysis of confectionery products," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 449-450, February.
- Yao Jiao & Yu Yang, 2019. "A product configuration approach based on online data," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2473-2487, August.
- Alejandro Fernandez & Pascale Zaraté & Juan Cruz Gardey & Gabriela Bosetti, 2021. "Supporting multi-criteria decision-making across websites: the Logikós approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 201-225, March.
- Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Yakubu, Hanan & Kwong, C.K., 2021. "Forecasting the importance of product attributes using online customer reviews and Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Haiyun, Cui & Zhixiong, Huang & Yüksel, Serhat & Dinçer, Hasan, 2021. "Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
- Yakubu, Hanan & Kwong, C.K., 2021. "Forecasting the importance of product attributes using online customer reviews and Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
- Jafarian, Ahmad & Rabiee, Meysam & Tavana, Madjid, 2020. "A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties," International Journal of Production Economics, Elsevier, vol. 228(C).
- Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
- Hien Nguyen Ngoc & Ganix Lasa & Ion Iriarte, 2022. "Human-centred design in industry 4.0: case study review and opportunities for future research," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 35-76, January.
- Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
- Artur Piasecki & Sylwia Hożejowska & Aneta Masternak-Janus & Magdalena Piasecka, 2024. "Using Quality Function Deployment to Assess the Efficiency of Mini-Channel Heat Exchangers," Energies, MDPI, vol. 17(10), pages 1-29, May.
- Zhiying Zhang & Huchang Liao & Jiaying Chang & Abdullah Al-barakati, 2019. "Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment," Sustainability, MDPI, vol. 11(24), pages 1-21, December.
- Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
- Lijie Feng & Kehui Liu & Jinfeng Wang & Kuo-Yi Lin & Ke Zhang & Luyao Zhang, 2022. "Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes," Energies, MDPI, vol. 15(20), pages 1-22, October.
- Dominika Siwiec & Andrzej Pacana, 2021. "A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
- Nanyi Wang & Chang Shi & Xinhui Kang, 2022. "Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
- Yuming Guo, 2023. "Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 615-631, February.
- Christian Stummer & Ayşegül Engin, 2021. "A tribute to Rudolf Vetschera," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 1-6, March.
- Dong Yang & Jia Li & Bill Wang & Yong-ji Jia, 2020. "Module-Based Product Configuration Decisions Considering Both Economical and Carbon Emission-Related Environmental Factors," Sustainability, MDPI, vol. 12(3), pages 1-13, February.
- Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
- Shao, Peng & Tan, Runhua & Peng, Qingjin & Liu, Fang & Yang, Wendan, 2024. "Scenario-based anticipatory failure determination and patent technology inspiration for product innovation design," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Marie-Anne Le-Dain & Lamiae Benhayoun & Judy Matthews & Marine Liard, 2023. "Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 359-393, March.
- Bhatia, Purvee & Diaz-Elsayed, Nancy, 2023. "Facilitating decision-making for the adoption of smart manufacturing technologies by SMEs via fuzzy TOPSIS," International Journal of Production Economics, Elsevier, vol. 257(C).
- Chen, Lele & Jing, Kunpeng & Mei, Yupeng, 2024. "The effect of consumption goals on review helpfulness: Behavioral and eye-tracking research," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
More about this item
Keywords
Concept design; Product structure; Big data; Data mining; Association relation method; WordNet hierarchy;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:34:y:2023:i:6:d:10.1007_s10845-022-01946-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.