{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T13:44:21Z","timestamp":1776779061807,"version":"3.51.2"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031933226","type":"print"},{"value":"9783031933233","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93323-3_8","type":"book-chapter","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T05:13:19Z","timestamp":1751951599000},"page":"98-109","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Survey on Knowledge-Based Engineering Approaches for Complex Product Design: A Focus on Crowd Intelligence"],"prefix":"10.1007","author":[{"given":"Zhanxi","family":"Wang","sequence":"first","affiliation":[]},{"given":"Tengfei","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Qiongsheng","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Kangning","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shiqi","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Beno\u00eet","family":"Eynard","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,9]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Yang, W., Fu, C., Yan, X., Chen, Z.: A knowledge-based system for quality analysis in model- based design. J. Intell. Manuf. 31, 1579\u20131606 (2020). https:\/\/doi.org\/10.1007\/s10845-020-01535-8","DOI":"10.1007\/s10845-020-01535-8"},{"key":"8_CR2","unstructured":"Knowledge management: creating context for a connected world, 2020. https:\/\/www2.deloitte.com\/us\/en\/pages\/human-capital\/articles\/knowledge-management"},{"key":"8_CR3","unstructured":"The future of minds and machines: how artificial intelligence can enhance collective intelligence, 2020. https:\/\/www.nesta.org.uk\/report\/future-minds-and-machines"},{"issue":"6004","key":"8_CR4","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1126\/science.1193147","volume":"330","author":"AW Woolley","year":"2010","unstructured":"Woolley, A.W., Chabris, C.F., Pentland, A., Hashmi, N., Malone, T.W.: Evidence for a collective intelligence factor in the performance of human groups. Science 330(6004), 686\u2013688 (2010). https:\/\/doi.org\/10.1126\/science.1193147","journal-title":"Science"},{"key":"8_CR5","unstructured":"Achieving competitive advantage through knowledge-based engineering\u202f: a best practice guide, 1999. https:\/\/search.worldcat.org\/zh-cn\/title\/Achieving-competitive-advantage-through-knowledge-based-engineering-:-a-best-practice-guide\/oclc\/51374894"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Aminpour, P., Gray, S.A., Jetter, A.J., Introne, J.E., Singer, A., Arlinghaus, R.: Wisdom of stakeholder crowds in complex social-ecological systems. Nat. Sustaina. 3(3), 191\u2013199 (2020). https:\/\/doi.org\/https:\/\/doi.org\/10.1038\/s41893-019-0467-z","DOI":"10.1038\/s41893-019-0467-z"},{"issue":"11","key":"8_CR7","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1016\/j.ifacol.2018.08.338","volume":"51","author":"M Mcharek","year":"2018","unstructured":"Mcharek, M., Azib, T., Hammadi, M., Choley, J.Y., Larouci, C.: Knowledge sharing for mechatronic systems design and optimization. IFAC-PapersOnLine 51(11), 1365\u20131370 (2018). https:\/\/doi.org\/10.1016\/j.ifacol.2018.08.338","journal-title":"IFAC-PapersOnLine"},{"key":"8_CR8","volume-title":"Project Management: A Systems Approach to Planning, Scheduling, and Controlling","author":"H Kerzner","year":"2022","unstructured":"Kerzner, H.: Project Management: A Systems Approach to Planning, Scheduling, and Controlling, 13th edn. Wiley, New York (2022)","edition":"13"},{"key":"8_CR9","doi-asserted-by":"publisher","unstructured":"Bahill A.T., Madni A.M.: Discovering system requirements. In: Tradeoff Decisions in System Design, pp. 373\u2013457. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-43712-5_4","DOI":"10.1007\/978-3-319-43712-5_4"},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Ciampa P.D., Moerland E., Seider D., Baalbergen E., Lombardi R., D\u2019Ippolito R.: A collaborative architecture supporting AGILE design of complex aeronautics products. In: 18th AIAA\/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, Reston, Virginia (2017). https:\/\/doi.org\/10.2514\/6.2017-4138","DOI":"10.2514\/6.2017-4138"},{"key":"8_CR11","doi-asserted-by":"publisher","unstructured":"Luo S.: New thought of crowd intelligence design. J. Mach. Des. 37(3), 121\u2013127 (2020). https:\/\/doi.org\/10.13841\/j.cnki.jxsj.2020.03.020","DOI":"10.13841\/j.cnki.jxsj.2020.03.020"},{"issue":"3","key":"8_CR12","doi-asserted-by":"publisher","first-page":"2204","DOI":"10.1109\/TII.2020.2998818","volume":"17","author":"J Yang","year":"2021","unstructured":"Yang, J., Wang, C., Jiang, B., Song, H., Meng, Q.: Visual perception enabled industry intelligence: state of the art, challenges and prospects. IEEE Trans. Ind. Inf. 17(3), 2204\u20132219 (2021). https:\/\/doi.org\/10.1109\/TII.2020.2998818","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"7","key":"8_CR13","doi-asserted-by":"publisher","first-page":"12","DOI":"10.7527\/S1000-6893.2019.23311","volume":"41","author":"G Yang","year":"2020","unstructured":"Yang, G., Dong, Z., Renke, K., Yan, B., Guo, D.: Research progress of helical milling technology. Chin. J. Aeronaut. 41(7), 12\u201326 (2020). https:\/\/doi.org\/10.7527\/S1000-6893.2019.23311","journal-title":"Chin. J. Aeronaut."},{"issue":"2","key":"8_CR14","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1111\/bjet.12835","volume":"51","author":"T Ley","year":"2020","unstructured":"Ley, T.: Knowledge structures for integrating working and learning: a reflection on a decade of learning technology research for workplace learning. Br. J. Edu. Technol. 51(2), 331\u2013346 (2020). https:\/\/doi.org\/10.1111\/bjet.12835","journal-title":"Br. J. Edu. Technol."},{"issue":"9","key":"8_CR15","doi-asserted-by":"publisher","first-page":"224","DOI":"10.3901\/JME.2018.09.224","volume":"54","author":"Y Dong","year":"2018","unstructured":"Dong, Y.: Research on the modeling method of die casting channel based on semantics. J. Mech. Eng. 54(9), 224\u2013232 (2018). https:\/\/doi.org\/10.3901\/JME.2018.09.224","journal-title":"J. Mech. Eng."},{"key":"8_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.paerosci.2020.100642","volume":"119","author":"I Gent","year":"2020","unstructured":"Gent, I., Aigner, B., Beijer, B., Jepsen, J., La Rocca, G.: Knowledge architecture supporting the next generation of MDO in the AGILE paradigm. Prog. Aerosp. Sci. 119, 100642 (2020). https:\/\/doi.org\/10.1016\/j.paerosci.2020.100642","journal-title":"Prog. Aerosp. Sci."},{"key":"8_CR17","doi-asserted-by":"publisher","unstructured":"Peng, G., Wang, H., Zhang, H.: Knowledge-based intelligent assembly of complex products in a cloud CPS-based system. In: 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 135\u2013139. IEEE, Porto, Portugal (2019). https:\/\/doi.org\/10.1109\/CSCWD.2019.8791877","DOI":"10.1109\/CSCWD.2019.8791877"},{"issue":"4","key":"8_CR18","doi-asserted-by":"publisher","first-page":"472","DOI":"10.3969\/j.issn.1007-7294.2017.04.012","volume":"21","author":"G Guan","year":"2017","unstructured":"Guan, G., Lin, Y.: Knowledge-based quick design and optimization for hull structure. J.Ship Mech. 21(4), 472\u2013483 (2017). https:\/\/doi.org\/10.3969\/j.issn.1007-7294.2017.04.012","journal-title":"J.Ship Mech."},{"key":"8_CR19","doi-asserted-by":"publisher","unstructured":"Li, W., et al.: Crowd intelligence in AI 2.0 era. Front. Inf. Technol. Electron. Eng. 18, 15\u201343 (2017). https:\/\/doi.org\/10.1631\/FITEE.1601859","DOI":"10.1631\/FITEE.1601859"},{"key":"8_CR20","doi-asserted-by":"publisher","unstructured":"Topp, E.A., Stenmark, M., Ganslandt, A., Svensson, A., Haage, M., Malec, J.: Ontology-based knowledge representation for increased skill reusability in industrial robots. In: 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5672\u20135678. IEEE, Madrid, Spain (2018). https:\/\/doi.org\/10.1109\/IROS.2018.8593566","DOI":"10.1109\/IROS.2018.8593566"},{"key":"8_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2020.102942","volume":"131","author":"Y Cao","year":"2021","unstructured":"Cao, Y., Liu, Y., Ye, X., Zhao, J.: An automated approach for execution sequence-driven software and physical co-design of mechatronic systems based on hybrid functional ontology. Comput. Aided Des. 131, 102942 (2021). https:\/\/doi.org\/10.1016\/j.cad.2020.102942","journal-title":"Comput. Aided Des."},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Qiao, L., Qie, Y., Zhu, Z., Zhu, Y., Zaman, U.K., Anwer, N.: An ontology-based modelling and reasoning framework for assembly sequence planning. Int. J. Adv. Manuf. Technol. 94, 4187\u20134197 (2018). https:\/\/link.springer.com\/arti-cle\/10.1007%2Fs00170-017-1077-4","DOI":"10.1007\/s00170-017-1077-4"},{"key":"8_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102242","volume":"73","author":"C Zheng","year":"2022","unstructured":"Zheng, C., et al.: Knowledge-based program generation approach for robotic manufacturing systems. Robot. Comput.- Integr. Manuf. 73, 102242 (2022). https:\/\/doi.org\/10.1016\/j.rcim.2021.102242","journal-title":"Robot. Comput.- Integr. Manuf."},{"key":"8_CR24","doi-asserted-by":"publisher","unstructured":"Osman, M.A., Noah, S.A.M., Saad, S.: Ontology-based knowledge management tools for knowledge sharing in organization-a review. IEEE Access 10, 43267\u201343283 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3163758","DOI":"10.1109\/ACCESS.2022.3163758"},{"key":"8_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2020.101164","volume":"46","author":"P Zangeneh","year":"2020","unstructured":"Zangeneh, P., McCabe, B.: Ontology-based knowledge representation for industrial megaprojects analytics using linked data and the semantic web. Adv. Eng. Inform. 46, 101164 (2020). https:\/\/doi.org\/10.1016\/j.aei.2020.101164","journal-title":"Adv. Eng. Inform."},{"key":"8_CR26","doi-asserted-by":"publisher","unstructured":"Bonatti, P.A., Decker, S., Polleres, A., Presutti, V.: Knowledge graphs: new directions for knowledge representation on the semantic web. Dagstuhl Rep. 8(9), 29\u2013111 (2019). https:\/\/doi.org\/10.4230\/DagRep.8.9.29","DOI":"10.4230\/DagRep.8.9.29"},{"key":"8_CR27","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.jmsy.2020.07.018","volume":"58","author":"A Ladj","year":"2021","unstructured":"Ladj, A., Wang, Z., Meski, O., Belkadi, F., Ritou, M., Da Cunha, C.: A knowledge-based digital shadow for machining industry in a digital twin perspective. J. Manuf. Syst. 58, 168\u2013179 (2021). https:\/\/doi.org\/10.1016\/j.jmsy.2020.07.018","journal-title":"J. Manuf. Syst."},{"key":"8_CR28","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.jmsy.2018.04.002","volume":"47","author":"A Camarillo","year":"2018","unstructured":"Camarillo, A., R\u00edos, J., Althoff, K.-D.: Knowledge-based multi-agent system for manufacturing problem solving process in production plants. J. Manuf. Syst. 47, 115\u2013127 (2018). https:\/\/doi.org\/10.1016\/j.jmsy.2018.04.002","journal-title":"J. Manuf. Syst."},{"key":"8_CR29","doi-asserted-by":"publisher","unstructured":"Zhang, K., Zhao, W., Wang, J., Chen, L., Guo, X.: Knowledge push technology based on quality function knowledge deployment. Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci. 233(4), 1119\u20131138 (2019). https:\/\/doi.org\/10.1177\/0954406218768843","DOI":"10.1177\/0954406218768843"},{"issue":"7","key":"8_CR30","doi-asserted-by":"publisher","first-page":"2585","DOI":"10.1080\/00207543.2017.1384581","volume":"56","author":"Y Shimomura","year":"2018","unstructured":"Shimomura, Y., Nemoto, Y., Ishii, T., Nakamura, T.: A method for identifying customer orientations and requirements for product-service systems design. Int. J. Prod. Res. 56(7), 2585\u20132595 (2018). https:\/\/doi.org\/10.1080\/00207543.2017.1384581","journal-title":"Int. J. Prod. Res."},{"issue":"7","key":"8_CR31","doi-asserted-by":"publisher","first-page":"151","DOI":"10.3901\/jme.2020.07.151","volume":"56","author":"L Ye","year":"2020","unstructured":"Ye, L., Lemiao, Q., Xiaojian, L., Shuyou, Z., Jianrong, T.: Technology for product design knowledge need awareness based on design context and brain-computer interface. J. Mech. Eng. 56(7), 151\u2013163 (2020). https:\/\/doi.org\/10.3901\/jme.2020.07.151","journal-title":"J. Mech. Eng."},{"key":"8_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102260","volume":"59","author":"Y Hong","year":"2024","unstructured":"Hong, Y., Li, W., Li, C., Xiang, H., Ling, S.: Adaptive knowledge push method of product intelligent design based on feature transfer. Adv. Eng. Inform. 59, 102260 (2024). https:\/\/doi.org\/10.1016\/j.aei.2023.102260","journal-title":"Adv. Eng. Inform."},{"key":"8_CR33","doi-asserted-by":"publisher","unstructured":"Wang, Y., Gao, Q.: Design and research of process knowledge push scheme in CAPP system. Modul. Mach. Tool Autom. Manuf. Tech. (5), 134\u2013137 (2019). https:\/\/doi.org\/10.13462\/j.cnki.mmtamt.2019.05.033","DOI":"10.13462\/j.cnki.mmtamt.2019.05.033"},{"issue":"1","key":"8_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11633-022-1390-8","volume":"20","author":"H Qiao","year":"2023","unstructured":"Qiao, H., Wu, Y.X., Zhong, S.L., Yin, P.J., Chen, J.H.: Brain-inspired intelligent robotics: theoretical analysis and systematic application. Mach. Intell. Res. 20(1), 1\u201318 (2023). https:\/\/doi.org\/10.1007\/s11633-022-1390-8","journal-title":"Mach. Intell. Res."},{"issue":"8","key":"8_CR35","doi-asserted-by":"publisher","first-page":"4386","DOI":"10.1109\/TNNLS.2021.3113026","volume":"34","author":"X Zhao","year":"2023","unstructured":"Zhao, X., Chen, H., Xing, Z., Miao, C.: Brain-inspired search engine assistant based on knowledge graph. IEEE Trans. Neural Netw. Learn. Syst. 34(8), 4386\u20134400 (2023). https:\/\/doi.org\/10.1109\/TNNLS.2021.3113026","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"10","key":"8_CR36","doi-asserted-by":"publisher","first-page":"11267","DOI":"10.1109\/TCYB.2021.3071312","volume":"52","author":"H Qiao","year":"2022","unstructured":"Qiao, H., Chen, J., Huang, X.: A survey of brain-inspired intelligent robots: integration of vision, decision, motion control, and musculoskeletal systems. IEEE Trans. Cybern. 52(10), 11267\u201311280 (2022). https:\/\/doi.org\/10.1109\/TCYB.2021.3071312","journal-title":"IEEE Trans. Cybern."}],"container-title":["IFIP Advances in Information and Communication Technology","Product Lifecycle Management. Leveraging AI, Digital Twins, and Smart Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93323-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T12:40:19Z","timestamp":1776775219000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93323-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031933226","9783031933233"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93323-3_8","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"9 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PLM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Product Lifecycle Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"plm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.plm-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}