{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:57:40Z","timestamp":1743083860146,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030711863"},{"type":"electronic","value":"9783030711870"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-71187-0_80","type":"book-chapter","created":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:04:54Z","timestamp":1622610294000},"page":"869-879","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Production Scheduling Support Framework"],"prefix":"10.1007","author":[{"given":"Paula","family":"Reis","sequence":"first","affiliation":[]},{"given":"Andr\u00e9 S.","family":"Santos","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Bastos","sequence":"additional","affiliation":[]},{"given":"Ana M.","family":"Madureira","sequence":"additional","affiliation":[]},{"given":"Leonilde R.","family":"Varela","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"80_CR1","doi-asserted-by":"publisher","first-page":"89782","DOI":"10.1109\/ACCESS.2020.2993881","volume":"8","author":"P Wang","year":"2020","unstructured":"Wang, P., Sang, H., Guo, H., Li, J.: Improved migrating birds optimization algorithm to solve hybrid flowshop scheduling problem with lost-streaming. IEEE Access 8, 89782\u201389792 (2020)","journal-title":"IEEE Access"},{"key":"80_CR2","doi-asserted-by":"crossref","unstructured":"Shahzad, A., Nasser, M.: Learning dispatching rules for scheduling: a synergistic view comprising decision trees, Tabu search and simulation. Computers 5, 3 (2016)","DOI":"10.3390\/computers5010003"},{"key":"80_CR3","first-page":"674","volume":"38","author":"N Binh Ho","year":"2018","unstructured":"Binh Ho, N., Cing Tay, J.: Solving multiple-objective flexible job shop problems by evolution and local search. IEEE Access 38, 674\u2013685 (2018)","journal-title":"IEEE Access"},{"key":"80_CR4","unstructured":"Blazewicz, J., Ecker, K., Pesch, E., Schmidt, G., Weglarz, J.: Handbook on Scheduling (2007)"},{"key":"80_CR5","unstructured":"Pinedo, M.L.: Scheduling: Theory, Algorithms and Systems. Springer, New York (2008)"},{"issue":"4","key":"80_CR6","doi-asserted-by":"publisher","first-page":"757","DOI":"10.5937\/fmet1904757F","volume":"47","author":"L Ferreirinha","year":"2019","unstructured":"Ferreirinha, L., Baptista, S., Pereira, \u00c2., Santos, A.S., Bastos, J., Madureira, A.M., Varela, M.L.R.: An industry 4.0 oriented tool for supporting dynamic selection of dispatching rules based on Kano model satisfaction scheduling. FME Trans. 47(4), 757\u2013764 (2019)","journal-title":"FME Trans."},{"key":"80_CR7","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neucom.2013.10.032","volume":"132","author":"A Madureira","year":"2014","unstructured":"Madureira, A., Pereira, I., Pereira, P., Abraham, A.: Negotiation mechanism for self-organized scheduling with collective intelligence. Neurocomputing 132, 97\u2013110 (2014)","journal-title":"Neurocomputing"},{"key":"80_CR8","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.cie.2017.06.014","volume":"110","author":"MS Reddy","year":"2017","unstructured":"Reddy, M.S., Ratnam, C., Agrawal, R., Varela, M.L.R., Sharma, I., Manupati, V.K.: Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem. Comput. Ind. Eng. 110, 231\u2013241 (2017)","journal-title":"Comput. Ind. Eng."},{"key":"80_CR9","doi-asserted-by":"crossref","unstructured":"Santos, A.S., Madureira, A.M., Varela, M.L.R., Putnik, G.D., Abraham, A.: A hybrid framework for supporting scheduling in extended manufacturing environments. In: The 14th International Conference on Hybrid Intelligent Systems, pp. 213\u2013218. IEEE (2014)","DOI":"10.1109\/HIS.2014.7086200"},{"issue":"3","key":"80_CR10","doi-asserted-by":"publisher","first-page":"1587","DOI":"10.1007\/s11276-019-02082-8","volume":"27","author":"ML Varela","year":"2019","unstructured":"Varela, M.L., Putnik, G.D., Manupati, V.K., Rajyalakshmi, G., Trojanowska, J., Machado, J.: Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal. Wirel. Netw. 27(3), 1587\u20131599 (2019)","journal-title":"Wirel. Netw."},{"issue":"4","key":"80_CR11","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1080\/00207543.2019.1609708","volume":"58","author":"J Koskinen","year":"2020","unstructured":"Koskinen, J., Raduly-Baka, C., Johnsson, M., Nevalainen, O.: Rolling horizon production scheduling of multi-model PCBs for several assembly lines. Int. J. Prod. Res. 58(4), 1052\u20131073 (2020)","journal-title":"Int. J. Prod. Res."},{"key":"80_CR12","volume-title":"Industrial Scheduling","author":"D Sule","year":"1997","unstructured":"Sule, D.: Industrial Scheduling. PWS Publishing Company, Boston (1997)"},{"key":"80_CR13","unstructured":"Smith, M.: Characteristics of U.S. Flexible Manufacturing Systems - A Survey. Elsevier (1986)"},{"key":"80_CR14","doi-asserted-by":"crossref","unstructured":"Madureira, A.M., Pereira, I., Sousa, N.: Collective intelligence on dynamic manufacturing scheduling optimization. In: IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) (2010)","DOI":"10.1109\/BICTA.2010.5645248"},{"key":"80_CR15","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-642-12538-6_6","volume-title":"Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)","author":"X-S Yang","year":"2010","unstructured":"Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: Gonz\u00e1lez, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), pp. 65\u201374. Springer Berlin Heidelberg, Berlin, Heidelberg (2010)"},{"key":"80_CR16","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1145\/937503.937505","volume":"3","author":"C Blum","year":"2003","unstructured":"Blum, C., Roli, A.: Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Comput. Surv. 3, 268\u2013308 (2003)","journal-title":"ACM Comput. Surv."},{"key":"80_CR17","unstructured":"Yang, S.: Nature-inspired Metaheuristic Algorithms. Luniver Press (2010)"},{"key":"80_CR18","doi-asserted-by":"crossref","unstructured":"Sarangi, A., Samal, S., Sarangi, S.: Comparative analysis of Cauchy mutation and Gaussian mutation in crazy PSO. In: International Conference on Computing and Communications Technologies (2019)","DOI":"10.1109\/ICCCT2.2019.8824972"},{"key":"80_CR19","doi-asserted-by":"crossref","unstructured":"Lopez, P., Roubellat, F.: Production Scheduling. ISTE and Wiley, UK, USA (2008)","DOI":"10.1002\/9780470611050"},{"volume-title":"Handbook of Metaheuristics","year":"2010","key":"80_CR20","unstructured":"Gendreau, M., Potvin, J.-Y. (eds.): Handbook of Metaheuristics. Springer US, Boston, MA (2010)"},{"volume-title":"Handbook of Metaheuristics","year":"2003","key":"80_CR21","unstructured":"Glover, F., Kochenberger, G.A. (eds.): Handbook of Metaheuristics. Springer US, Boston, MA (2003)"},{"key":"80_CR22","unstructured":"Osman, M.: Designing Machine Learning Tools Based on Meta-Heuristic Programming (2011). https:\/\/www.researchgate.net\/publication\/278404748_Designing_Machine_Learning_Tools"},{"issue":"4","key":"80_CR23","doi-asserted-by":"publisher","first-page":"iii","DOI":"10.1162\/evco.1998.6.4.iii","volume":"6","author":"A Wu","year":"1998","unstructured":"Wu, A., Banzhaf, W.: Introduction to the special issue: variable-length representation and noncoding segments for evolutionary algorithms. Evol. Comput. 6(4), iii\u2013vi (1998)","journal-title":"Evol. Comput."},{"key":"80_CR24","doi-asserted-by":"publisher","first-page":"100581","DOI":"10.1016\/j.swevo.2019.100581","volume":"51","author":"M Roshanzamir","year":"2019","unstructured":"Roshanzamir, M., Palhang, M., Mirzaei, A.: Graph structure optimization of Genetic Network Programming with ant colony mechanism in deterministic and stochastic environments. Swarm Evol. Comput. 51, 100581 (2019)","journal-title":"Swarm Evol. Comput."},{"key":"80_CR25","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1142\/S0219622011004373","volume":"10","author":"A Hedar","year":"2011","unstructured":"Hedar, A., Mabrouk, E., Fukushima, M.: Tabu programming: a new problem solver through adaptive memory programming over tree data structure. Int. J. Inf. Technol. Decis. Mak. 10, 373\u2013406 (2011)","journal-title":"Int. J. Inf. Technol. Decis. Mak."},{"key":"80_CR26","first-page":"433","volume-title":"Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization","author":"P Hansen","year":"1998","unstructured":"Hansen, P., Mladenovi\u0107, N.: An introduction to variable neighborhood search. In: Vo\u00df, S., Martello, S., Osman, I.H., Roucairol, C. (eds.) Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, pp. 433\u2013458. Springer US, Boston, MA (1998)"},{"issue":"5","key":"80_CR27","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1080\/1055678021000030084","volume":"17","author":"A-R Hedar","year":"2002","unstructured":"Hedar, A.-R., Fukushima, M.: Hybrid simulated annealing and direct search method for nonlinear unconstrained global optimization. Optim. Meth. Softw. 17(5), 891\u2013912 (2002). https:\/\/doi.org\/10.1080\/1055678021000030084","journal-title":"Optim. Meth. Softw."},{"key":"80_CR28","unstructured":"Hedar, A., Fukushima, M.: Meta-heuristics programming. In: Proceedings of 2nd International Workshop on Computational Intelligence Applications (2006)"},{"key":"80_CR29","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C Blum","year":"2003","unstructured":"Blum, C., Roli, A.: Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Comput. Surv. 35, 268\u2013308 (2003)","journal-title":"ACM Comput. Surv."},{"key":"80_CR30","unstructured":"Beasley, J.E.: ORLibrary (1990). https:\/\/people.brunel.ac.uk\/~mastjjb\/jeb\/info.html"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71187-0_80","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:26:27Z","timestamp":1622611587000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71187-0_80"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030711863","9783030711870"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71187-0_80","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}