{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T16:22:39Z","timestamp":1747153359960,"version":"3.40.5"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031716362"},{"type":"electronic","value":"9783031716379"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-71637-9_7","type":"book-chapter","created":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:02:18Z","timestamp":1725742938000},"page":"95-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4845-3565","authenticated-orcid":false,"given":"Sabino Francesco","family":"Roselli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8050-5185","authenticated-orcid":false,"given":"Martin","family":"Dahl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2787-7262","authenticated-orcid":false,"given":"Mukund","family":"Subramaniyan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4858-4386","authenticated-orcid":false,"given":"Ebru Turanoglu","family":"Bekar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8519-0736","authenticated-orcid":false,"given":"Anders","family":"Skoogh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,8]]},"reference":[{"issue":"1","key":"7_CR1","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1108\/13552519510083110","volume":"1","author":"M Ben-Daya","year":"1995","unstructured":"Ben-Daya, M., Duffuaa, S.: Maintenance and quality: the missing link. J. Qual. Maint. Eng. 1(1), 20\u201326 (1995)","journal-title":"J. Qual. Maint. Eng."},{"key":"7_CR2","doi-asserted-by":"publisher","first-page":"103087","DOI":"10.1016\/j.autcon.2020.103087","volume":"112","author":"JC Cheng","year":"2020","unstructured":"Cheng, J.C., Chen, W., Chen, K., Wang, Q.: Data-driven predictive maintenance planning framework for mep components based on bim and iot using machine learning algorithms. Autom. Constr. 112, 103087 (2020)","journal-title":"Autom. Constr."},{"issue":"22","key":"7_CR3","doi-asserted-by":"publisher","first-page":"6848","DOI":"10.1080\/00207543.2021.1962558","volume":"60","author":"PH Cui","year":"2022","unstructured":"Cui, P.H., Wang, J.Q., Li, Y.: Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality. Int. J. Prod. Res. 60(22), 6848\u20136865 (2022)","journal-title":"Int. J. Prod. Res."},{"key":"7_CR4","doi-asserted-by":"publisher","first-page":"106924","DOI":"10.1016\/j.cie.2020.106924","volume":"151","author":"A Farahani","year":"2021","unstructured":"Farahani, A., Tohidi, H.: Integrated optimization of quality and maintenance: a literature review. Comput. Ind. Eng. 151, 106924 (2021)","journal-title":"Comput. Ind. Eng."},{"issue":"19","key":"7_CR5","doi-asserted-by":"publisher","first-page":"5841","DOI":"10.1080\/00207543.2017.1346843","volume":"55","author":"Y He","year":"2017","unstructured":"He, Y., Gu, C., Chen, Z., Han, X.: Integrated predictive maintenance strategy for manufacturing systems by combining quality control and mission reliability analysis. Int. J. Prod. Res. 55(19), 5841\u20135862 (2017)","journal-title":"Int. J. Prod. Res."},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Leng, J., Wang, D., Shen, W., Li, X., Liu, Q., Chen, X.: Digital twins-based smart manufacturing system design in industry 4.0: a review. J. Manuf. Syst. 60, 119\u2013137 (2021)","DOI":"10.1016\/j.jmsy.2021.05.011"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"109273","DOI":"10.1016\/j.ress.2023.109273","volume":"236","author":"R Liao","year":"2023","unstructured":"Liao, R., He, Y., Feng, T., Yang, X., Dai, W., Zhang, W.: Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system. Reliab. Eng. Syst. Saf. 236, 109273 (2023)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Ling, R.F.: Correlation and causation (1982)","DOI":"10.2307\/2287275"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"107628","DOI":"10.1016\/j.ress.2021.107628","volume":"212","author":"B Lu","year":"2021","unstructured":"Lu, B., Chen, Z., Zhao, X.: Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors. Reliab. Eng. Syst. Saf. 212, 107628 (2021)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"7_CR10","doi-asserted-by":"publisher","first-page":"103244","DOI":"10.1016\/j.compind.2020.103244","volume":"120","author":"C Morariu","year":"2020","unstructured":"Morariu, C., Morariu, O., R\u0103ileanu, S., Borangiu, T.: Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems. Comput. Ind. 120, 103244 (2020)","journal-title":"Comput. Ind."},{"issue":"7","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1080\/00207543.2019.1636321","volume":"58","author":"D Mourtzis","year":"2020","unstructured":"Mourtzis, D.: Simulation in the design and operation of manufacturing systems: state of the art and new trends. Int. J. Prod. Res. 58(7), 1927\u20131949 (2020)","journal-title":"Int. J. Prod. Res."},{"issue":"1","key":"7_CR12","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1108\/09544789910246589","volume":"11","author":"A Ollila","year":"1999","unstructured":"Ollila, A., Malmipuro, M.: Maintenance has a role in quality. TQM Mag. 11(1), 17\u201321 (1999)","journal-title":"TQM Mag."},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.jmsy.2020.07.004","volume":"56","author":"PD Paraschos","year":"2020","unstructured":"Paraschos, P.D., Koulinas, G.K., Koulouriotis, D.E.: Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures. J. Manuf. Syst. 56, 470\u2013483 (2020)","journal-title":"J. Manuf. Syst."},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Rumsey, A., Le Dantec, C.A.: Manufacturing change: the impact of virtual environments on real organizations. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u201312 (2020)","DOI":"10.1145\/3313831.3376535"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.jmsy.2018.01.006","volume":"48","author":"F Tao","year":"2018","unstructured":"Tao, F., Qi, Q., Liu, A., Kusiak, A.: Data-driven smart manufacturing. J. Manuf. Syst. 48, 157\u2013169 (2018)","journal-title":"J. Manuf. Syst."},{"key":"7_CR16","doi-asserted-by":"publisher","first-page":"107299","DOI":"10.1016\/j.sigpro.2019.107299","volume":"167","author":"C Truong","year":"2020","unstructured":"Truong, C., Oudre, L., Vayatis, N.: Selective review of offline change point detection methods. Sig. Process. 167, 107299 (2020)","journal-title":"Sig. Process."},{"key":"7_CR17","unstructured":"Weisstein, E.W.: Least squares fitting (2002). https:\/\/mathworld.wolfram.com"},{"issue":"1","key":"7_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s10033-020-00459-x","volume":"33","author":"K Xu","year":"2020","unstructured":"Xu, K., et al.: Advanced data collection and analysis in data-driven manufacturing process. Chin. J. Mech. Eng. 33(1), 1\u201321 (2020)","journal-title":"Chin. J. Mech. Eng."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71637-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:03:48Z","timestamp":1725743028000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71637-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031716362","9783031716379"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71637-9_7","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"8 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"APMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Advances in Production Management Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chemnitz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"43","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.apms-conference.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}