{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T13:04:51Z","timestamp":1763643891635,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031346736"},{"type":"electronic","value":"9783031346743"}],"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\/978-3-031-34674-3_14","type":"book-chapter","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T20:32:15Z","timestamp":1686169935000},"page":"112-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["AIDA: A Tool for\u00a0Resiliency in\u00a0Smart Manufacturing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9680-7658","authenticated-orcid":false,"given":"Giuseppe","family":"De Giacomo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9566-3576","authenticated-orcid":false,"given":"Marco","family":"Favorito","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9216-8502","authenticated-orcid":false,"given":"Francesco","family":"Leotta","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9730-8882","authenticated-orcid":false,"given":"Massimo","family":"Mecella","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3349-7861","authenticated-orcid":false,"given":"Flavia","family":"Monti","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7250-8979","authenticated-orcid":false,"given":"Luciana","family":"Silo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"key":"14_CR1","unstructured":"Amari, S.V., McLaughlin, L., Pham, H.: Cost-effective condition-based maintenance using Markov decision processes. In: RAMS, pp. 464\u2013469. IEEE (2006)"},{"key":"14_CR2","first-page":"111","volume":"15","author":"N Bicocchi","year":"2019","unstructured":"Bicocchi, N., Cabri, G., Mandreoli, F., Mecella, M.: Dynamic digital factories for agile supply chains: an architectural approach. J. Ind. Inf. Integr. 15, 111\u2013121 (2019)","journal-title":"J. Ind. Inf. Integr."},{"key":"14_CR3","series-title":"ecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-319-70169-1_12","volume-title":"AIxIA 2017 Advances in Artificial Intelligence","author":"RI Brafman","year":"2017","unstructured":"Brafman, R.I., De Giacomo, G., Mecella, M., Sardina, S.: Service composition in stochastic settings. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds.) AIxIA 2017. ecture Notes in Computer Science, vol. 10640, pp. 159\u2013171. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-70169-1_12"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Catarci, T., Firmani, D., Leotta, F., Mandreoli, F., Mecella, M., Sapio, F.: A conceptual architecture and model for smart manufacturing relying on service-based digital twins. In: IEEE ICWS, pp. 229\u2013236 (2019)","DOI":"10.1109\/ICWS.2019.00047"},{"key":"14_CR5","unstructured":"Choo, B.Y., Adams, S.C., Weiss, B.A., Marvel, J.A., Beling, P.A.: Adaptive multi-scale prognostics and health management for smart manufacturing systems. Int. J. Prognostics Health Manage. 7 (2016)"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"De Giacomo, G., Favorito, M.: Compositional approach to translate LTLf\/LDLf into deterministic finite automata. In: ICAPS, pp. 122\u2013130. AAAI Press (2021)","DOI":"10.1609\/icaps.v31i1.15954"},{"key":"14_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2023.103916","volume":"149","author":"G De Giacomo","year":"2023","unstructured":"De Giacomo, G., Favorito, M., Leotta, F., Mecella, M., Silo, L.: Digital twins composition in smart manufacturing via Markov decision processes. Comput. Ind. 149, 103916 (2023)","journal-title":"Comput. Ind."},{"key":"14_CR8","unstructured":"De Giacomo, G., Vardi, M.Y.: Linear temporal logic and linear dynamic logic on finite traces. In: IJCAI, pp. 854\u2013860. ACM (2013)"},{"issue":"1","key":"14_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3576047","volume":"14","author":"M Dumas","year":"2023","unstructured":"Dumas, M., et al.: AI-augmented business process management systems: a research manifesto. ACM Trans. Manage. Inf. Syst. 14(1), 1\u201319 (2023)","journal-title":"ACM Trans. Manage. Inf. Syst."},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Han, H., Trimi, S.: Towards a data science platform for improving SME collaboration through Industry 4.0 technologies. Technol. Forecast. Soc. Change 174, 121242 (2022)","DOI":"10.1016\/j.techfore.2021.121242"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Hu, H., Jia, X., Liu, K., Sun, B.: Self-adaptive traffic control model with behavior trees and reinforcement learning for AGV in industry 4.0. IEEE Trans. Ind. Inf. 17(12), 7968\u20137979 (2021)","DOI":"10.1109\/TII.2021.3059676"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: The architectural design and implementation of a digital platform for industry 4.0 SME collaboration. Comput. Ind. 138, 103623 (2022)","DOI":"10.1016\/j.compind.2022.103623"},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.is.2018.11.002","volume":"86","author":"A Marrella","year":"2019","unstructured":"Marrella, A., Mecella, M., Pernici, B., Plebani, P.: A design-time data-centric maturity model for assessing resilience in multi-party business processes. Inf. Syst. 86, 62\u201378 (2019)","journal-title":"Inf. Syst."},{"key":"14_CR14","unstructured":"Marrella, A., Mecella, M., Sardina, S.: SmartPM: an adaptive process management system through situation calculus, IndiGolog, and classical planning. In: KR (2014)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Pesic, M., Schonenberg, H., Van der Aalst, W.M.: Declare: Full support for loosely-structured processes. In: EDOC, pp. 287\u2013287. IEEE (2007)","DOI":"10.1109\/EDOC.2007.14"},{"key":"14_CR16","series-title":"Studies in Systems, Decision and Control","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94310-7","volume-title":"Industry 4.0: Industrial Revolution of the 21st Century","year":"2019","unstructured":"Popkova, E.G., Ragulina, Y.V., Bogoviz, A.V. (eds.): Industry 4.0: Industrial Revolution of the 21st Century. SSDC, vol. 169. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-94310-7"},{"key":"14_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316887","volume-title":"Markov Decision Processes","author":"ML Puterman","year":"1994","unstructured":"Puterman, M.L.: Markov Decision Processes. Wiley, Hoboken (1994)"},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.apenergy.2019.03.027","volume":"241","author":"R Rocchetta","year":"2019","unstructured":"Rocchetta, R., Bellani, L., Compare, M., Zio, E., Patelli, E.: A reinforcement learning framework for optimal operation and maintenance of power grids. Appl. Energy 241, 291\u2013301 (2019)","journal-title":"Appl. Energy"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Sahal, R., Breslin, J.G., Ali, M.I.: Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case. J. Manuf. Syst. 54, 138\u2013151 (2020)","DOI":"10.1016\/j.jmsy.2019.11.004"},{"issue":"1","key":"14_CR20","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.cirp.2015.04.121","volume":"64","author":"W Terkaj","year":"2015","unstructured":"Terkaj, W., Tolio, T., Urgo, M.: A virtual factory approach for in situ simulation to support production and maintenance planning. CIRP Ann. 64(1), 451\u2013454 (2015)","journal-title":"CIRP Ann."},{"key":"14_CR21","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1109\/TASE.2020.3018402","volume":"18","author":"B Wally","year":"2020","unstructured":"Wally, B., et al.: Leveraging iterative plan refinement for reactive smart manufacturing systems. IEEE Trans. Autom. Sci. Eng. 18, 230\u2013243 (2020)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Wray, K.H., Zilberstein, S., Mouaddib, A.I.: Multi-objective MDPs with conditional lexicographic reward preferences. In: AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9647"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Zahoransky, R.M., Brenig, C., Koslowski, T.: Towards a process-centered resilience framework. In: ARES, pp. 266\u2013273. IEEE (2015)","DOI":"10.1109\/ARES.2015.68"},{"key":"14_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1007\/978-3-319-10557-4_39","volume-title":"Computer Safety, Reliability, and Security","author":"RM Zahoransky","year":"2014","unstructured":"Zahoransky, R.M., Koslowski, T., Accorsi, R.: Toward resilience assessment in business process architectures. In: Bondavalli, A., Ceccarelli, A., Ortmeier, F. (eds.) SAFECOMP 2014. LNCS, vol. 8696, pp. 360\u2013370. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10557-4_39"}],"container-title":["Lecture Notes in Business Information Processing","Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34674-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T20:33:25Z","timestamp":1686170005000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34674-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031346736","9783031346743"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34674-3_14","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zaragoza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2023","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"161","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":"36","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":"22% - 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":"2.63","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":"5","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":"For the CAISE 2023 Forum 18 papers have been accepted from a total of 25 submissions. For the CAISE workshops 10 full and 9 short papers have been accepted from 25 submissions.","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)"}}]}}