{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:52:22Z","timestamp":1772758342631,"version":"3.50.1"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031436611","type":"print"},{"value":"9783031436628","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43662-8_42","type":"book-chapter","created":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T07:03:11Z","timestamp":1694588591000},"page":"587-601","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The Role of Human Factors in Zero Defect Manufacturing: A Study of Training and Workplace Culture"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2731-8727","authenticated-orcid":false,"given":"Foivos","family":"Psarommatis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9634-999X","authenticated-orcid":false,"given":"G\u00f6kan","family":"May","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5159-5276","authenticated-orcid":false,"given":"Victor","family":"Azamfirei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"42_CR1","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.jmsy.2014.06.004","volume":"36","author":"D Mourtzis","year":"2015","unstructured":"Mourtzis, D., Doukas, M., Psarommatis, F.: A toolbox for the design, planning and operation of manufacturing networks in a mass customisation environment. J. Manuf. Syst. 36, 274\u2013286 (2015). https:\/\/doi.org\/10.1016\/j.jmsy.2014.06.004","journal-title":"J. Manuf. Syst."},{"key":"42_CR2","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.cirp.2013.03.126","volume":"62","author":"D Mourtzis","year":"2013","unstructured":"Mourtzis, D., Doukas, M., Psarommatis, F.: Design and operation of manufacturing networks for mass customisation. CIRP Ann. Manuf. Technol. 62, 467\u2013470 (2013). https:\/\/doi.org\/10.1016\/j.cirp.2013.03.126","journal-title":"CIRP Ann. Manuf. Technol."},{"key":"42_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fcomp.2020.00026","volume":"2","author":"F Psarommatis","year":"2020","unstructured":"Psarommatis, F., Prouvost, S., May, G., Kiritsis, D.: Product quality improvement policies in industry 4.0: characteristics, enabling factors, barriers, and evolution toward zero defect manufacturing. Front. Comput. Sci. 2, 1\u201315 (2020). https:\/\/doi.org\/10.3389\/fcomp.2020.00026","journal-title":"Front. Comput. Sci."},{"key":"42_CR4","doi-asserted-by":"publisher","first-page":"100263","DOI":"10.1016\/j.jii.2021.100263","volume":"26","author":"F Psarommatis","year":"2021","unstructured":"Psarommatis, F., Kiritsis, D.: A hybrid Decision Support System for automating decision making in the event of defects in the era of Zero Defect Manufacturing. J. Ind. Inf. Integrat. 26, 100263 (2021). https:\/\/doi.org\/10.1016\/j.jii.2021.100263","journal-title":"J. Ind. Inf. Integrat."},{"key":"42_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/J.JMSY.2022.12.010","volume":"67","author":"V Azamfirei","year":"2023","unstructured":"Azamfirei, V., Psarommatis, F., Lagrosen, Y.: Application of automation for in-line quality inspection, a zero-defect manufacturing approach. J. Manuf. Syst. 67, 1\u201322 (2023). https:\/\/doi.org\/10.1016\/J.JMSY.2022.12.010","journal-title":"J. Manuf. Syst."},{"key":"42_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00207543.2019.1605228","volume":"7543","author":"F Psarommatis","year":"2020","unstructured":"Psarommatis, F., May, G., Dreyfus, P.-A., Kiritsis, D.: Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research. Int. J. Prod. Res. 7543, 1\u201317 (2020). https:\/\/doi.org\/10.1080\/00207543.2019.1605228","journal-title":"Int. J. Prod. Res."},{"key":"42_CR7","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1080\/00207543.2021.1987551","volume":"60","author":"F Psarommatis","year":"2022","unstructured":"Psarommatis, F., Sousa, J., Mendon\u00e7a, J.P., Kiritsis, D.: Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper. Int. J. Prod. Res. 60, 73\u201391 (2022). https:\/\/doi.org\/10.1080\/00207543.2021.1987551","journal-title":"Int. J. Prod. Res."},{"key":"42_CR8","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/J.PROMFG.2020.01.075","volume":"38","author":"A Pistone","year":"2019","unstructured":"Pistone, A., Canali, C., Gloriani, C., Leggieri, S., Guardiani, P., Caldwell, D.G.: Reconfigurable inspection robot for industrial applications. Procedia Manuf. 38, 597\u2013604 (2019). https:\/\/doi.org\/10.1016\/J.PROMFG.2020.01.075","journal-title":"Procedia Manuf."},{"key":"42_CR9","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/J.JMSY.2022.12.009","volume":"66","author":"F Hein-Pensel","year":"2023","unstructured":"Hein-Pensel, F., et al.: Maturity assessment for Industry 5.0: a review of existing maturity models. J. Manuf. Syst. 66, 200\u2013210 (2023). https:\/\/doi.org\/10.1016\/J.JMSY.2022.12.009","journal-title":"J. Manuf. Syst."},{"key":"42_CR10","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/J.APERGO.2018.05.010","volume":"73","author":"A Kolus","year":"2018","unstructured":"Kolus, A., Wells, R., Neumann, P.: Production quality and human factors engineering: a systematic review and theoretical framework. Appl. Ergon. 73, 55\u201389 (2018). https:\/\/doi.org\/10.1016\/J.APERGO.2018.05.010","journal-title":"Appl. Ergon."},{"key":"42_CR11","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/J.CIRP.2019.04.040","volume":"68","author":"JY Dantan","year":"2019","unstructured":"Dantan, J.Y., El Mouayni, I., Sadeghi, L., Siadat, A., Etienne, A.: Human factors integration in manufacturing systems design using function\u2013behavior\u2013structure framework and behaviour simulations. CIRP Ann. 68, 125\u2013128 (2019). https:\/\/doi.org\/10.1016\/J.CIRP.2019.04.040","journal-title":"CIRP Ann."},{"key":"42_CR12","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1080\/00207543.2014.919424","volume":"53","author":"EH Grosse","year":"2014","unstructured":"Grosse, E.H., Glock, C.H., Jaber, M.Y., Neumann, W.P.: Incorporating human factors in order picking planning models: framework and research opportunities. Int. J. Prod. Res. 53, 695\u2013717 (2014). https:\/\/doi.org\/10.1080\/00207543.2014.919424","journal-title":"Int. J. Prod. Res."},{"key":"42_CR13","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/J.JMSY.2021.10.006","volume":"61","author":"X Xu","year":"2021","unstructured":"Xu, X., Lu, Y., Vogel-Heuser, B., Wang, L.: Industry 4.0 and Industry 5.0\u2014inception, conception and perception. J. Manuf. Syst. 61, 530\u2013535 (2021). https:\/\/doi.org\/10.1016\/J.JMSY.2021.10.006","journal-title":"J. Manuf. Syst."},{"key":"42_CR14","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/J.JMSY.2022.09.017","volume":"65","author":"J Leng","year":"2022","unstructured":"Leng, J., et al.: Industry 5.0: prospect and retrospect. J. Manuf. Syst. 65, 279\u2013295 (2022). https:\/\/doi.org\/10.1016\/J.JMSY.2022.09.017","journal-title":"J. Manuf. Syst."},{"key":"42_CR15","doi-asserted-by":"publisher","first-page":"107992","DOI":"10.1016\/J.IJPE.2020.107992","volume":"233","author":"WP Neumann","year":"2021","unstructured":"Neumann, W.P., Winkelhaus, S., Grosse, E.H., Glock, C.H.: Industry 4.0 and the human factor \u2013 a systems framework and analysis methodology for successful development. Int. J. Prod. Econ. 233, 107992 (2021). https:\/\/doi.org\/10.1016\/J.IJPE.2020.107992","journal-title":"Int. J. Prod. Econ."},{"key":"42_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/J.COMPIND.2022.103792","volume":"144","author":"PK Wan","year":"2023","unstructured":"Wan, P.K., Leirmo, T.L.: Human-centric zero-defect manufacturing: state-of-the-art review, perspectives, and challenges. Comput. Ind. 144, 103792 (2023). https:\/\/doi.org\/10.1016\/J.COMPIND.2022.103792","journal-title":"Comput. Ind."},{"key":"42_CR17","doi-asserted-by":"publisher","DOI":"10.1371\/JOURNAL.PMED.1000097","volume":"6","author":"D Moher","year":"2009","unstructured":"Moher, D., et al.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 6, e1000097 (2009). https:\/\/doi.org\/10.1371\/JOURNAL.PMED.1000097","journal-title":"PLoS Med."},{"key":"42_CR18","doi-asserted-by":"publisher","unstructured":"Page, M.J., et al.: The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372 (2021). https:\/\/doi.org\/10.1136\/BMJ.N71","DOI":"10.1136\/BMJ.N71"},{"key":"42_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1504\/IJMLO.2016.076187","volume":"10","author":"JP Siew","year":"2016","unstructured":"Siew, J.P., Low, H.C., Teoh, P.C.: An interactive mobile learning application using machine learning framework in a flexible manufacturing environment. Int. J. Mobile Learn. Organ. 10, 1\u201324 (2016). https:\/\/doi.org\/10.1504\/IJMLO.2016.076187","journal-title":"Int. J. Mobile Learn. Organ."},{"key":"42_CR20","doi-asserted-by":"publisher","unstructured":"Fidan, I., Kraft, R.P.: Inline troubleshooting for electronics manufacturing systems. In: Proceedings of the IEEE\/CPMT International Electronics Manufacturing Technology (IEMT) Symposium, pp. 338\u2013343 (2000). https:\/\/doi.org\/10.1109\/IEMT.2000.910745","DOI":"10.1109\/IEMT.2000.910745"},{"key":"42_CR21","doi-asserted-by":"publisher","first-page":"191","DOI":"10.3390\/MACHINES11020191","volume":"11","author":"SO Afolaranmi","year":"2023","unstructured":"Afolaranmi, S.O., et al.: zPasteurAIzer: an AI-enabled solution for product quality monitoring in tunnel pasteurization machines. Machines 11, 191 (2023). https:\/\/doi.org\/10.3390\/MACHINES11020191","journal-title":"Machines"},{"key":"42_CR22","doi-asserted-by":"publisher","unstructured":"Sesana, M., Moussa, A.: Collaborative augmented worker and artificial intelligence in zero defect manufacturing environment. In: MATEC Web of Conferences, vol. 304, p. 04003 (2019). https:\/\/doi.org\/10.1051\/MATECCONF\/201930404003","DOI":"10.1051\/MATECCONF\/201930404003"},{"key":"42_CR23","doi-asserted-by":"publisher","first-page":"62","DOI":"10.3390\/PR11010062","volume":"11","author":"B Silva","year":"2022","unstructured":"Silva, B., et al.: Enhance the injection molding quality prediction with artificial intelligence to reach zero-defect manufacturing. Processes 11, 62 (2022). https:\/\/doi.org\/10.3390\/PR11010062","journal-title":"Processes"},{"key":"42_CR24","doi-asserted-by":"publisher","first-page":"26","DOI":"10.3390\/SCI4030026","volume":"4","author":"H Kagermann","year":"2022","unstructured":"Kagermann, H., Wahlster, W.: Ten years of industrie 4.0. Science 4, 26 (2022). https:\/\/doi.org\/10.3390\/SCI4030026","journal-title":"Science"},{"issue":"4","key":"42_CR25","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1108\/JMTM-02-2022-0092\/FULL\/PDF","volume":"34","author":"B Caiazzo","year":"2023","unstructured":"Caiazzo, B., Murino, T., Petrillo, A., Piccirillo, G., Santini, S.: An IoT-based and cloud-assisted AI-driven monitoring platform for\u00a0smart manufacturing: design architecture and experimental validation. J. Manuf. Technol. Manag. 34(4), 507\u2013534 (2023). https:\/\/doi.org\/10.1108\/JMTM-02-2022-0092\/FULL\/PDF","journal-title":"J. Manuf. Technol. Manag."},{"key":"42_CR26","doi-asserted-by":"publisher","unstructured":"Psarommatis, F., Dreyfus, P.A., Kiritsis, D.: The role of big data analytics in the context of modeling design and operation of manufacturing systems. In: Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology, pp. 243\u2013275 (2022). https:\/\/doi.org\/10.1016\/B978-0-12-823657-4.00012-9","DOI":"10.1016\/B978-0-12-823657-4.00012-9"},{"key":"42_CR27","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/J.JMSY.2021.09.011","volume":"61","author":"JC Serrano-Ruiz","year":"2021","unstructured":"Serrano-Ruiz, J.C., Mula, J., Poler, R.: Smart manufacturing scheduling: a literature review. J. Manuf. Syst. 61, 265\u2013287 (2021). https:\/\/doi.org\/10.1016\/J.JMSY.2021.09.011","journal-title":"J. Manuf. Syst."},{"key":"42_CR28","doi-asserted-by":"publisher","unstructured":"Weichhart, G., Pichler, A., Strohmeier, F., Schmoigl, M., Zorrer, H.: The ROBxTASK architecture for interoperability of robotic systems. In: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 \u2013 Proceedings, pp. 449\u2013453 (2021). https:\/\/doi.org\/10.1109\/METROIND4.0IOT51437.2021.9488560","DOI":"10.1109\/METROIND4.0IOT51437.2021.9488560"},{"key":"42_CR29","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/J.PROCIR.2021.11.100","volume":"104","author":"E Lodgaard","year":"2021","unstructured":"Lodgaard, E., Powell, D.: The changing role of shop-floor operators in zero defect manufacturing. Procedia CIRP 104, 594\u2013599 (2021). https:\/\/doi.org\/10.1016\/J.PROCIR.2021.11.100","journal-title":"Procedia CIRP"},{"key":"42_CR30","doi-asserted-by":"publisher","unstructured":"Konstantinidis, F.K., Mouroutsos, S.G., Gasteratos, A.: The role of machine vision in industry 4.0: an automotive manufacturing perspective. In: IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. (2021). https:\/\/doi.org\/10.1109\/IST50367.2021.9651453","DOI":"10.1109\/IST50367.2021.9651453"},{"key":"42_CR31","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1007\/S00170-020-06055-6\/TABLES\/3","volume":"111","author":"L Pagani","year":"2020","unstructured":"Pagani, L., Parenti, P., Cataldo, S., Scott, P.J., Annoni, M.: Indirect cutting tool wear classification using deep learning and chip colour analysis. Int. J. Adv. Manuf. Technol. 111, 1099\u20131114 (2020). https:\/\/doi.org\/10.1007\/S00170-020-06055-6\/TABLES\/3","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"42_CR32","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/J.PROCIR.2020.01.009","volume":"86","author":"C Reiff","year":"2019","unstructured":"Reiff, C., Oechsle, S., Eger, F., Verl, A.: Web-based platform for data analysis and monitoring. Procedia CIRP. 86, 31\u201336 (2019). https:\/\/doi.org\/10.1016\/J.PROCIR.2020.01.009","journal-title":"Procedia CIRP."},{"key":"42_CR33","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-51369-6_1","volume-title":"Advances in Human Factors and Systems Interaction","author":"L Schulte","year":"2020","unstructured":"Schulte, L., Schmitt, J., Meierhofer, F., Deuse, J.: Optimizing inspection process severity by machine learning under label uncertainty. In: Nunes, I.L. (ed.) AHFE 2020. AISC, vol. 1207, pp. 3\u20139. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-51369-6_1"},{"key":"42_CR34","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1016\/J.PROMFG.2020.10.055","volume":"51","author":"F Eger","year":"2020","unstructured":"Eger, F., et al.: Reaching zero-defect manufacturing by compensation of dimensional deviations in the manufacturing of rotating hollow parts. Procedia Manuf. 51, 388\u2013393 (2020). https:\/\/doi.org\/10.1016\/J.PROMFG.2020.10.055","journal-title":"Procedia Manuf."},{"key":"42_CR35","doi-asserted-by":"publisher","unstructured":"Sousa, J., Ferreira, J., Lopes, C., Sarraipa, J., Silva, J.: Enhancing the steel tube manufacturing process with a zero defects approach. In: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 2B-2020 (2021). https:\/\/doi.org\/10.1115\/IMECE2020-24678","DOI":"10.1115\/IMECE2020-24678"},{"key":"42_CR36","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1016\/J.IFACOL.2019.11.406","volume":"52","author":"R Steringer","year":"2019","unstructured":"Steringer, R., Z\u00f6rrer, H., Zambal, S., Eitzinger, C.: Using discrete event simulation in multiple system life cycles to support zero-defect composite manufacturing in aerospace industry. IFAC-PapersOnLine 52, 1467\u20131472 (2019). https:\/\/doi.org\/10.1016\/J.IFACOL.2019.11.406","journal-title":"IFAC-PapersOnLine"},{"key":"42_CR37","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1016\/J.IFACOL.2019.11.405","volume":"52","author":"H Z\u00f6rrer","year":"2019","unstructured":"Z\u00f6rrer, H., Steringer, R., Zambal, S., Eitzinger, C.: Using business analytics for decision support in zero defect manufacturing of composite parts in the aerospace industry. IFAC-PapersOnLine 52, 1461\u20131466 (2019). https:\/\/doi.org\/10.1016\/J.IFACOL.2019.11.405","journal-title":"IFAC-PapersOnLine"},{"key":"42_CR38","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1002\/HFM.20068","volume":"17","author":"K Hong","year":"2007","unstructured":"Hong, K., Nagarajah, R., Iovenitti, P., Dunn, M.: A sociotechnical approach to achieve zero defect manufacturing of complex manual assemblies. Human Fact. Ergon. Manuf. Serv. Ind. 17, 137\u2013148 (2007). https:\/\/doi.org\/10.1002\/HFM.20068","journal-title":"Human Fact. Ergon. Manuf. Serv. Ind."},{"key":"42_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2019\/2875236","volume":"2019","author":"S Kang","year":"2019","unstructured":"Kang, S., Chun, I., Kim, H.S.: Design and implementation of runtime verification framework for cyber-physical production systems. J. Eng. 2019, 1\u201311 (2019). https:\/\/doi.org\/10.1155\/2019\/2875236","journal-title":"J. Eng."},{"key":"42_CR40","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/J.PROCIR.2018.09.066","volume":"78","author":"C Reiff","year":"2018","unstructured":"Reiff, C., Eger, F., Korb, T., Freiberger, H., Verl, A.: User interface for the acquisition and characterization of defects and performed rework in multi-stage production systems. Procedia CIRP 78, 243\u2013248 (2018). https:\/\/doi.org\/10.1016\/J.PROCIR.2018.09.066","journal-title":"Procedia CIRP"},{"key":"42_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2288-8-45","volume":"8","author":"J Thomas","year":"2008","unstructured":"Thomas, J., Harden, A.: Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med. Res. Methodol. 8, 1\u201310 (2008). https:\/\/doi.org\/10.1186\/1471-2288-8-45","journal-title":"BMC Med. Res. Methodol."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43662-8_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T07:16:39Z","timestamp":1694589399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43662-8_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031436611","9783031436628"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43662-8_42","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Trondheim","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2023","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"}}]}}