{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T04:47:43Z","timestamp":1771994863326,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030859138","type":"print"},{"value":"9783030859145","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-85914-5_63","type":"book-chapter","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T13:03:17Z","timestamp":1630501397000},"page":"596-604","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Operation Twins: Synchronized Production-Intralogistics for Industry 4.0 Manufacturing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3202-0877","authenticated-orcid":false,"given":"Mingxing","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2352-2111","authenticated-orcid":false,"given":"Daqiang","family":"Guo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2362-6001","authenticated-orcid":false,"given":"George Q.","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,31]]},"reference":[{"key":"63_CR1","doi-asserted-by":"publisher","unstructured":"Guo, D., Li, M., Zhong, R., Huang, G.Q.: Graduation Intelligent manufacturing system (GiMS): an industry 4.0 paradigm for production and operations management. Ind. Manage. Data Syst. 121(1), 86\u201398 (2021). https:\/\/doi.org\/10.1108\/IMDS-08-2020-0489","DOI":"10.1108\/IMDS-08-2020-0489"},{"key":"63_CR2","doi-asserted-by":"crossref","unstructured":"Zhong, R.Y., Xu, X., Klotz, E., Newman, S.T.: Intelligent manufacturing in the context of industry 4.0: a review. Engineering 3, 616\u2013630 (2017)","DOI":"10.1016\/J.ENG.2017.05.015"},{"key":"63_CR3","doi-asserted-by":"publisher","unstructured":"Li, M., Zhong, R.Y., Qu, T., Huang, G.Q.: Spatial-temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories. J. Intell. Manuf. (2021). https:\/\/doi.org\/10.1007\/s10845-020-01727-2","DOI":"10.1007\/s10845-020-01727-2"},{"key":"63_CR4","doi-asserted-by":"crossref","unstructured":"Olsen, T.L., Tomlin, B.: Industry 4.0: opportunities and challenges for operations management. Manuf. Serv. Oper. Manage. 22, 113\u2013122 (2020)","DOI":"10.1287\/msom.2019.0796"},{"key":"63_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.rcim.2016.01.008","volume":"45","author":"H Luo","year":"2017","unstructured":"Luo, H., Wang, K., Kong, X.T., Lu, S., Qu, T.: Synchronized production and logistics via ubiquitous computing technology. Robot. Comput.-Integr. Manufact. 45, 99\u2013115 (2017)","journal-title":"Robot. Comput.-Integr. Manufact."},{"issue":"1-4","key":"63_CR6","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s00170-015-7220-1","volume":"84","author":"T Qu","year":"2015","unstructured":"Qu, T., Lei, S.P., Wang, Z.Z., Nie, D.X., Chen, X., Huang, G.Q.: IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int. J. Adv. Manuf. Technol. 84(1\u20134), 147\u2013164 (2015). https:\/\/doi.org\/10.1007\/s00170-015-7220-1","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"63_CR7","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1016\/j.promfg.2020.10.172","volume":"51","author":"M Li","year":"2020","unstructured":"Li, M., Jiang, M., Lyu, Z., Chen, Q., Wu, H., Huang, G.Q.: Spatial-temporal finite element analytics for cyber-physical system-enabled smart factory: application in hybrid flow shop. Procedia Manuf. 51, 1229\u20131236 (2020)","journal-title":"Procedia Manuf."},{"key":"63_CR8","doi-asserted-by":"crossref","unstructured":"Guo, D., Li, M., Lyu, Z., Kang, K., Wu, W., Zhong, R.Y., Huang, G.Q.: Synchroperation in Industry 4.0 Manufacturing. Int. J. Prod. Econ. 238, 108171 (2021)","DOI":"10.1016\/j.ijpe.2021.108171"},{"key":"63_CR9","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jmsy.2020.09.003","volume":"58","author":"G Lugaresi","year":"2021","unstructured":"Lugaresi, G., Alba, V.V., Matta, A.: Lab-scale models of manufacturing systems for testing real-time simulation and production control technologies. J. Manuf. Syst. 58, 93\u2013108 (2021)","journal-title":"J. Manuf. Syst."},{"key":"63_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, L., Zhou, L., Ren, L., Laili, Y.: Modeling and simulation in intelligent manufacturing. Comput. Ind. 112, 103123 (2019)","DOI":"10.1016\/j.compind.2019.08.004"},{"key":"63_CR11","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s00187-013-0175-1","volume":"24","author":"M Faccio","year":"2013","unstructured":"Faccio, M., Gamberi, M., Persona, A., Regattieri, A., Sgarbossa, F.: Design and simulation of assembly line feeding systems in the automotive sector using supermarket, kanbans and tow trains: a general framework. J. Manag. Control. 24, 187\u2013208 (2013)","journal-title":"J. Manag. Control."},{"key":"63_CR12","doi-asserted-by":"publisher","first-page":"2405","DOI":"10.1109\/TII.2018.2873186","volume":"15","author":"F Tao","year":"2018","unstructured":"Tao, F., Zhang, H., Liu, A., Nee, A.Y.: Digital twin in industry: state-of-the-art. IEEE Trans. Industr. Inf. 15, 2405\u20132415 (2018)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"63_CR13","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1080\/0951192X.2014.924159","volume":"28","author":"U Ghani","year":"2015","unstructured":"Ghani, U., Monfared, R., Harrison, R.: Integration approach to virtual-driven discrete event simulation for manufacturing systems. Int. J. Comput. Integr. Manuf. 28, 844\u2013860 (2015)","journal-title":"Int. J. Comput. Integr. Manuf."},{"key":"63_CR14","doi-asserted-by":"publisher","first-page":"4828","DOI":"10.1080\/00207543.2018.1443230","volume":"57","author":"Y-H Kuo","year":"2019","unstructured":"Kuo, Y.-H., Kusiak, A.: From data to big data in production research: the past and future trends. Int. J. Prod. Res. 57, 4828\u20134853 (2019)","journal-title":"Int. J. Prod. Res."},{"key":"63_CR15","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.cie.2013.03.004","volume":"65","author":"\u00d6 Haz\u0131r","year":"2013","unstructured":"Haz\u0131r, \u00d6., Dolgui, A.: Assembly line balancing under uncertainty: robust optimization models and exact solution method. Comput. Ind. Eng. 65, 261\u2013267 (2013)","journal-title":"Comput. Ind. Eng."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-85914-5_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T22:03:39Z","timestamp":1756677819000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-85914-5_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030859138","9783030859145"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-85914-5_63","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"31 August 2021","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":"Nantes","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conftool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"529","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"378","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"71% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}