{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T06:58:30Z","timestamp":1786085910459,"version":"3.56.0"},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T00:00:00Z","timestamp":1602720000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T00:00:00Z","timestamp":1602720000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003407","name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","award":["CTN01_00163_2167"],"award-info":[{"award-number":["CTN01_00163_2167"]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006690","name":"Politecnico di Milano","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100006690","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Research on scheduling problems is an evergreen challenge for industrial engineers. The growth of digital technologies opens the possibility to collect and analyze great amount of field data in real-time, representing a precious opportunity for an improved scheduling activity. Thus, scheduling under uncertain scenarios may benefit from the possibility to grasp the current operating conditions of the industrial equipment in real-time and take them into account when elaborating the best production schedules. To this end, the article proposes a proof-of-concept of a simheuristics framework for robust scheduling applied to a Flow Shop Scheduling Problem. The framework is composed of genetic algorithms for schedule optimization and discrete event simulation and is synchronized with the field through a Digital Twin (DT) that employs an Equipment Prognostics and Health Management (EPHM) module. The contribution of the EPHM module inside the DT-based framework is the real time computation of the failure probability of the equipment, with data-driven statistical models that take sensor data from the field as input. The viability of the framework is demonstrated in a flow shop application in a laboratory environment.\n<\/jats:p>","DOI":"10.1007\/s10845-020-01685-9","type":"journal-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T21:02:47Z","timestamp":1602795767000},"page":"1207-1228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":156,"title":["Field-synchronized Digital Twin framework for production scheduling with uncertainty"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0006-7497","authenticated-orcid":false,"given":"Elisa","family":"Negri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1956-6165","authenticated-orcid":false,"given":"Vibhor","family":"Pandhare","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0854-9826","authenticated-orcid":false,"given":"Laura","family":"Cattaneo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0333-5354","authenticated-orcid":false,"given":"Jaskaran","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3078-6051","authenticated-orcid":false,"given":"Marco","family":"Macchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jay","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,10,15]]},"reference":[{"key":"1685_CR1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/j.cie.2017.06.026","volume":"111","author":"H Abedinnia","year":"2017","unstructured":"Abedinnia, H., Glock, C. H., Grosse, E. H., & Schneider, M. (2017). Machine scheduling problems in production: A tertiary study. Computers & Industrial Engineering, 111, 403\u2013416. https:\/\/doi.org\/10.1016\/j.cie.2017.06.026.","journal-title":"Computers & Industrial Engineering"},{"issue":"2","key":"1685_CR2","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1016\/j.ejor.2017.11.070","volume":"269","author":"A Allahverdi","year":"2018","unstructured":"Allahverdi, A., Aydilek, H., & Aydilek, A. (2018). No-wait flowshop scheduling problem with two criteria; total tardiness and makespan. European Journal of Operational Research, 269(2), 590\u2013601. https:\/\/doi.org\/10.1016\/j.ejor.2017.11.070.","journal-title":"European Journal of Operational Research"},{"issue":"5","key":"1685_CR3","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1007\/s10951-015-0416-2","volume":"18","author":"M Aramon Bajestani","year":"2015","unstructured":"Aramon Bajestani, M., & Beck, J. C. (2015). A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines. Journal of Scheduling, 18(5), 471\u2013486. https:\/\/doi.org\/10.1007\/s10951-015-0416-2.","journal-title":"Journal of Scheduling"},{"issue":"4","key":"1685_CR4","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/j.future.2009.10.004","volume":"26","author":"A Bagheri","year":"2010","unstructured":"Bagheri, A., Zandieh, M., Mahdavi, I., & Yazdani, M. (2010). An artificial immune algorithm for the flexible job-shop scheduling problem. Future Generation Computer Systems, 26(4), 533\u2013541. https:\/\/doi.org\/10.1016\/j.future.2009.10.004.","journal-title":"Future Generation Computer Systems"},{"key":"1685_CR5","unstructured":"Baheti, R., & Gill, H. (2011). Cyber-physical Systems. In T. Samad & A. Annaswamy (Eds.), The Impact of Control Technology (Issue 12, pp. 161\u2013166). IEEE Control Systems Society."},{"issue":"12","key":"1685_CR6","doi-asserted-by":"publisher","first-page":"14490","DOI":"10.1016\/j.eswa.2011.04.241","volume":"38","author":"J Behnamian","year":"2011","unstructured":"Behnamian, J., & Zandieh, M. (2011). A discrete colonial competitive algorithm for hybrid flowshop scheduling to minimize earliness and quadratic tardiness penalties. Expert Systems with Applications, 38(12), 14490\u201314498. https:\/\/doi.org\/10.1016\/j.eswa.2011.04.241.","journal-title":"Expert Systems with Applications"},{"key":"1685_CR7","first-page":"113","volume":"2019","author":"T Borangiu","year":"2020","unstructured":"Borangiu, T., Oltean, E., Raileanu, S., Anton, F., Anton, S., & Iacob, I. (2020). Embedded Digital Twin for ARTI-type control of semi-continuous production processes. International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, 2019, 113\u2013133.","journal-title":"International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing"},{"key":"1685_CR8","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1016\/j.swevo.2018.08.007","volume":"44","author":"M Castelli","year":"2019","unstructured":"Castelli, M., Cattaneo, G., Manzoni, L., & Vanneschi, L. (2019). A distance between populations for n-points crossover in genetic algorithms. Swarm and Evolutionary Computation, 44, 636\u2013645. https:\/\/doi.org\/10.1016\/j.swevo.2018.08.007.","journal-title":"Swarm and Evolutionary Computation"},{"key":"1685_CR9","doi-asserted-by":"publisher","first-page":"103130","DOI":"10.1016\/j.compind.2019.103130","volume":"113","author":"C Cimino","year":"2019","unstructured":"Cimino, C., Negri, E., & Fumagalli, L. (2019). Review of Digital Twin applications in manufacturing. Computers in Industry, 113, 103130. https:\/\/doi.org\/10.1016\/j.compind.2019.103130.","journal-title":"Computers in Industry"},{"issue":"1","key":"1685_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/0305-0548(93)E0015-L","volume":"22","author":"F Della Croce","year":"1995","unstructured":"Della Croce, F., Tadei, R., & Volta, G. (1995). A genetic algorithm for the job shop problem. Computers & Operations Research, 22(1), 15\u201324. https:\/\/doi.org\/10.1016\/0305-0548(93)E0015-L.","journal-title":"Computers & Operations Research"},{"key":"1685_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.cherd.2016.10.047","volume":"116","author":"LS Dias","year":"2016","unstructured":"Dias, L. S., & Ierapetritou, M. G. (2016). Integration of scheduling and control under uncertainties: Review and challenges. Chemical Engineering Research and Design, 116, 98\u2013113. https:\/\/doi.org\/10.1016\/j.cherd.2016.10.047.","journal-title":"Chemical Engineering Research and Design"},{"issue":"4","key":"1685_CR12","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.jcde.2016.05.001","volume":"3","author":"M Eddaly","year":"2016","unstructured":"Eddaly, M., Jarboui, B., & Siarry, P. (2016). Combinatorial particle swarm optimization for solving blocking flowshop scheduling problem. Journal of Computational Design and Engineering, 3(4), 295\u2013311. https:\/\/doi.org\/10.1016\/j.jcde.2016.05.001.","journal-title":"Journal of Computational Design and Engineering"},{"key":"1685_CR13","unstructured":"Enders, M. R., & Ho\u00dfbach, N. (2019). Dimensions of Digital Twin applications\u2014A literature review. In 25th Americas conference on information systems, AMCIS 2019, Code 151731."},{"key":"1685_CR14","doi-asserted-by":"publisher","unstructured":"Falkenauer, E., & Bouffouix, S. (1991). A genetic algorithm for job shop. In Proceedings of 1991 IEEE International Conference on Robotics and Automation, pp. 824\u2013829. https:\/\/doi.org\/10.1109\/ROBOT.1991.131689.","DOI":"10.1109\/ROBOT.1991.131689"},{"key":"1685_CR15","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.cie.2019.01.036","volume":"129","author":"JM Framinan","year":"2019","unstructured":"Framinan, J. M., Fernandez-Viagas, V., & Perez-Gonzalez, P. (2019). Using real-time information to reschedule jobs in a flowshop with variable processing times. Computers & Industrial Engineering, 129, 113\u2013125. https:\/\/doi.org\/10.1016\/j.cie.2019.01.036.","journal-title":"Computers & Industrial Engineering"},{"key":"1685_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6272-8","volume-title":"Manufacturing scheduling systems: An integrated view on models, methods and tools","author":"JM Framinan","year":"2014","unstructured":"Framinan, J. M., Leisten, R., & Garc\u00eda, R. R. (2014). Manufacturing scheduling systems: An integrated view on models, methods and tools. London: Springer. https:\/\/doi.org\/10.1007\/978-1-4471-6272-8."},{"key":"1685_CR17","unstructured":"Fumagalli, L., Macchi, M., Negri, E., Polenghi, A., & Sottoriva, E. (2017). Simulation-supported framework for job shop scheduling with genetic algorithm. In Proceedings of the XXII summerschool of industrial mechanical plants \u201cFrancesco Turco\u201d, Palermo (Italy), 13\u201315th September 2017 (pp. 1\u20138)."},{"key":"1685_CR18","unstructured":"Fumagalli, L., Macchi, M., Pozzetti, A., Tavola, G., & Terzi, S. (2016). New methodology for smart manufacturing research and education\u202f: The lab approach. In 21st Summer School Francesco Turco 2016 (pp. 42\u201347)."},{"issue":"4","key":"1685_CR19","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1504\/IJMDM.2018.095738","volume":"17","author":"L Fumagalli","year":"2018","unstructured":"Fumagalli, L., Negri, E., Sottoriva, E., Polenghi, A., & Macchi, M. (2018). A novel scheduling framework: Integrating genetic algorithms and discrete event simulation. International Journal Management and Decision Making, 17(4), 371\u2013395.","journal-title":"International Journal Management and Decision Making"},{"issue":"4","key":"1685_CR20","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1080\/17477778.2019.1598782","volume":"13","author":"L Fumagalli","year":"2019","unstructured":"Fumagalli, L., Polenghi, A., Negri, E., & Roda, I. (2019). Framework for simulation software selection. Journal of Simulation, 13(4), 286\u2013303. https:\/\/doi.org\/10.1080\/17477778.2019.1598782.","journal-title":"Journal of Simulation"},{"key":"1685_CR21","volume-title":"Computers and intractability: A guide to the results of the study. Within the range of the used scenarios, theory of NP-completeness","author":"MR Garey","year":"1979","unstructured":"Garey, M. R., & Jonhson, D. S. (1979). Computers and intractability: A guide to the results of the study. Within the range of the used scenarios, theory of NP-completeness. San Francisco: Freeman."},{"key":"1685_CR22","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.simpat.2017.09.001","volume":"79","author":"EM Gonzalez-Neira","year":"2017","unstructured":"Gonzalez-Neira, E. M., Ferone, D., Hatami, S., & Juan, A. A. (2017). A biased-randomized simheuristic for the distributed assembly permutation flowshop problem with stochastic processing times. Simulation Modelling Practice and Theory, 79, 23\u201336. https:\/\/doi.org\/10.1016\/j.simpat.2017.09.001.","journal-title":"Simulation Modelling Practice and Theory"},{"issue":"3","key":"1685_CR23","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1016\/j.ejor.2005.02.001","volume":"169","author":"JND Gupta","year":"2006","unstructured":"Gupta, J. N. D., & Stafford, E. F. (2006). Flowshop scheduling research after five decades. European Journal of Operational Research, 169(3), 699\u2013711. https:\/\/doi.org\/10.1016\/j.ejor.2005.02.001.","journal-title":"European Journal of Operational Research"},{"issue":"April","key":"1685_CR24","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.simpat.2018.04.005","volume":"86","author":"S Hatami","year":"2018","unstructured":"Hatami, S., Calvet, L., Fern\u00e1ndez-Viagas, V., Frami\u00f1\u00e1n, J. M., & Juan, A. A. (2018). A simheuristic algorithm to set up starting times in the stochastic parallel flowshop problem. Simulation Modelling Practice and Theory, 86(April), 55\u201371. https:\/\/doi.org\/10.1016\/j.simpat.2018.04.005.","journal-title":"Simulation Modelling Practice and Theory"},{"issue":"3","key":"1685_CR25","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.ymssp.2008.06.009","volume":"23","author":"A Heng","year":"2009","unstructured":"Heng, A., Zhang, S., Tan, A. C. C., & Mathew, J. (2009). Rotating machinery prognostics: State of the art, challenges and opportunities. Mechanical Systems and Signal Processing, 23(3), 724\u2013739. https:\/\/doi.org\/10.1016\/j.ymssp.2008.06.009.","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"2","key":"1685_CR26","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.ejor.2004.04.002","volume":"165","author":"W Herroelen","year":"2005","unstructured":"Herroelen, W., & Leus, R. (2005). Project scheduling under uncertainty: Survey and research potentials. European Journal of Operational Research, 165(2), 289\u2013306. https:\/\/doi.org\/10.1016\/j.ejor.2004.04.002.","journal-title":"European Journal of Operational Research"},{"key":"1685_CR27","doi-asserted-by":"publisher","unstructured":"Johnson, S. M. (1954). Optimal two and three stage production schedules with set-up time included. Naval Research Logistics Quarterly,1(1),  61\u201368. https:\/\/doi.org\/10.1002\/nav.3800010110","DOI":"10.1002\/nav.3800010110"},{"key":"1685_CR28","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.simpat.2014.02.005","volume":"46","author":"AA Juan","year":"2014","unstructured":"Juan, A. A., Barrios, B. B., Vallada, E., Riera, D., & Jorba, J. (2014). A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times. Simulation Modelling Practice and Theory, 46, 101\u2013117. https:\/\/doi.org\/10.1016\/j.simpat.2014.02.005.","journal-title":"Simulation Modelling Practice and Theory"},{"key":"1685_CR29","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.orp.2015.03.001","volume":"2","author":"AA Juan","year":"2015","unstructured":"Juan, A. A., Faulin, J., Grasman, S. E., Rabe, M., & Figueira, G. (2015). A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems. Operations Research Perspectives, 2, 62\u201372. https:\/\/doi.org\/10.1016\/j.orp.2015.03.001.","journal-title":"Operations Research Perspectives"},{"issue":"11","key":"1685_CR30","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1016\/j.ifacol.2018.08.474","volume":"51","author":"W Kritzinger","year":"2018","unstructured":"Kritzinger, W., Karner, M., Traar, G., Henjes, J., Sihn, W., Kritzinger, W., et al. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016\u20131022. https:\/\/doi.org\/10.1016\/j.ifacol.2018.08.474.","journal-title":"IFAC-PapersOnLine"},{"key":"1685_CR31","unstructured":"Krug, W., Wiedemann, T., Liebelt, J., & Baumbach, B. (2002). Simulation and optimization in manufacturing, organization and logistics. In Simulation in industry, 14th European simulation symposium (pp. 423\u2013429)."},{"key":"1685_CR32","doi-asserted-by":"publisher","unstructured":"Lee, E. A. (2008). Cyber physical systems: Design challenges. In 2008 11th IEEE international symposium on object and component-oriented real-time distributed computing (ISORC) (pp. 363\u2013369). https:\/\/doi.org\/10.1109\/ISORC.2008.25.","DOI":"10.1109\/ISORC.2008.25"},{"key":"1685_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.engappai.2018.08.011","volume":"76","author":"CKH Lee","year":"2018","unstructured":"Lee, C. K. H. (2018). A review of applications of genetic algorithms in operations management. Engineering Applications of Artificial Intelligence, 76, 1\u201312. https:\/\/doi.org\/10.1016\/j.engappai.2018.08.011.","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"1685_CR34","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.procir.2015.08.026","volume":"38","author":"J Lee","year":"2015","unstructured":"Lee, J., Ardakani, H. D., Yang, S., & Bagheri, B. (2015a). Industrial big data analytics and cyber-physical systems for future maintenance and service innovation. Procedia CIRP, 38, 3\u20137. https:\/\/doi.org\/10.1016\/j.procir.2015.08.026.","journal-title":"Procedia CIRP"},{"key":"1685_CR35","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.mfglet.2014.12.001","volume":"3","author":"J Lee","year":"2015","unstructured":"Lee, J., Bagheri, B., & Kao, H. A. (2015b). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18\u201323. https:\/\/doi.org\/10.1016\/j.mfglet.2014.12.001.","journal-title":"Manufacturing Letters"},{"issue":"1","key":"1685_CR36","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.mfglet.2013.09.005","volume":"1","author":"J Lee","year":"2013","unstructured":"Lee, J., Lapira, E., Bagheri, B., & Kao, H. A. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1(1), 38\u201341. https:\/\/doi.org\/10.1016\/j.mfglet.2013.09.005.","journal-title":"Manufacturing Letters"},{"issue":"5","key":"1685_CR37","doi-asserted-by":"publisher","first-page":"1086","DOI":"10.1109\/JPROC.2016.2521931","volume":"104","author":"P Leit\u00e3o","year":"2016","unstructured":"Leit\u00e3o, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., & Colombo, A. W. (2016). Smart agents in industrial cyber-physical systems. Proceedings of the IEEE, 104(5), 1086\u20131101. https:\/\/doi.org\/10.1109\/JPROC.2016.2521931.","journal-title":"Proceedings of the IEEE"},{"issue":"6","key":"1685_CR38","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1007\/s10845-019-01512-w","volume":"31","author":"KYH Lim","year":"2020","unstructured":"Lim, K. Y. H., Zheng, P., & Chen, C. H. (2020). A state-of-the-art survey of Digital Twin: Techniques, engineering product lifecycle management and business innovation perspectives. Journal of Intelligent Manufacturing, 31(6), 1313\u20131337. https:\/\/doi.org\/10.1007\/s10845-019-01512-w.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"4","key":"1685_CR39","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1080\/00207543.2015.1048380","volume":"54","author":"CH Liu","year":"2016","unstructured":"Liu, C. H. (2016). Mathematical programming formulations for single-machine scheduling problems while considering renewable energy uncertainty. International Journal of Production Research, 54(4), 1122\u20131133. https:\/\/doi.org\/10.1080\/00207543.2015.1048380.","journal-title":"International Journal of Production Research"},{"issue":"1","key":"1685_CR40","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1016\/j.ifacol.2017.08.1122","volume":"50","author":"F Lolli","year":"2017","unstructured":"Lolli, F., Balugani, E., Gamberini, R., & Rimini, B. (2017). Stochastic assembly line balancing with learning effects. IFAC-PapersOnLine, 50(1), 5706\u20135711. https:\/\/doi.org\/10.1016\/j.ifacol.2017.08.1122.","journal-title":"IFAC-PapersOnLine"},{"key":"1685_CR41","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1683250","author":"MR Lopes","year":"2019","unstructured":"Lopes, M. R., Costigliola, A., Pinto, R., Vieira, S., & Joao, M. C. (2019). Pharmaceutical quality control laboratory Digital Twin\u2014A novel governance model for resource planning and scheduling. International Journal of Production Research, Article in press.. https:\/\/doi.org\/10.1080\/00207543.2019.1683250.","journal-title":"International Journal of Production Research, Article in press."},{"issue":"11","key":"1685_CR42","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.ifacol.2018.08.415","volume":"51","author":"M Macchi","year":"2018","unstructured":"Macchi, M., Roda, I., Negri, E., & Fumagalli, L. (2018). Exploring the role of Digital Twin for asset lifecycle management. IFAC-PapersOnLine, 51(11), 790\u2013795. https:\/\/doi.org\/10.1016\/j.ifacol.2018.08.415.","journal-title":"IFAC-PapersOnLine"},{"key":"1685_CR43","doi-asserted-by":"crossref","unstructured":"Marmolejo-Saucedo, J. A., Hurtado-Hernandez, M., & Suarez-Valdes, R. (2019). Digital Twins in supply chain management: A brief literature review. In International conference on intelligent computing and optimization (pp. 653\u2013661).","DOI":"10.1007\/978-3-030-33585-4_63"},{"key":"1685_CR44","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.jmsy.2020.01.007","volume":"54","author":"A Napoleone","year":"2020","unstructured":"Napoleone, A., Macchi, M., & Pozzetti, A. (2020). A review on the characteristics of cyber-physical systems for the future smart factories. Journal of Manufacturing Systems, 54, 305\u2013335. https:\/\/doi.org\/10.1016\/j.jmsy.2020.01.007.","journal-title":"Journal of Manufacturing Systems"},{"key":"1685_CR45","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.jmsy.2020.05.007","volume":"56","author":"Elisa Negri","year":"2020","unstructured":"Negri, Elisa, Berardi, S., Fumagalli, L., & Macchi, M. (2020). MES-integrated Digital Twin frameworks. Journal of Manufacturing Systems, 56, 58\u201371. https:\/\/doi.org\/10.1016\/j.jmsy.2020.05.007.","journal-title":"Journal of Manufacturing Systems"},{"issue":"10","key":"1685_CR46","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.ifacol.2019.10.024","volume":"52","author":"E Negri","year":"2019","unstructured":"Negri, E., Davari Ardakani, H., Cattaneo, L., Singh, J., Macchi, M., & Lee, J. (2019a). A Digital Twin-based scheduling framework including equipment health index and genetic algorithms. IFAC-PapersOnLine, 52(10), 43\u201348. https:\/\/doi.org\/10.1016\/j.ifacol.2019.10.024.","journal-title":"IFAC-PapersOnLine"},{"key":"1685_CR47","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.promfg.2018.12.033","volume":"28","author":"E Negri","year":"2019","unstructured":"Negri, E., Fumagalli, L., Cimino, C., & Macchi, M. (2019b). FMU-supported simulation for CPS digital twin. Procedia manufacturing, 28, 201\u2013206. https:\/\/doi.org\/10.1016\/j.promfg.2018.12.033.","journal-title":"Procedia manufacturing"},{"key":"1685_CR48","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1016\/j.promfg.2017.07.198","volume":"11","author":"E Negri","year":"2017","unstructured":"Negri, E., Fumagalli, L., & Macchi, M. (2017). A review of the roles of Digital Twin in CPS-based production systems. Procedia Manufacturing, 11, 939\u2013948. https:\/\/doi.org\/10.1016\/j.promfg.2017.07.198","journal-title":"Procedia Manufacturing"},{"key":"1685_CR49","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.cor.2015.12.006","volume":"70","author":"JS Neufeld","year":"2016","unstructured":"Neufeld, J. S., Gupta, J. N. D., & Buscher, U. (2016). A comprehensive review of flowshop group scheduling literature. Computers & Operations Research, 70, 56\u201374. https:\/\/doi.org\/10.1016\/j.cor.2015.12.006.","journal-title":"Computers & Operations Research"},{"key":"1685_CR50","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/S1570-7946(08)80058-2","volume":"25","author":"D Nguyen","year":"2008","unstructured":"Nguyen, D., & Bagajewicz, M. (2008). Optimization of preventive maintenance scheduling in processing plants. Computer Aided Chemical Engineering, 25, 319\u2013324. https:\/\/doi.org\/10.1016\/S1570-7946(08)80058-2.","journal-title":"Computer Aided Chemical Engineering"},{"key":"1685_CR51","unstructured":"Orozco-Romero, A., Arias-Portela, C. Y., & Marmolejo- Saucedo, J. A. (2019). The use of agent-based models boosted by Digital Twins in the supply chain: A literature review. In International conference on intelligent computing and optimization (pp. 642\u2013652)."},{"issue":"1","key":"1685_CR52","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s10845-018-1433-8","volume":"31","author":"E Oztemel","year":"2020","unstructured":"Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127\u2013182. https:\/\/doi.org\/10.1007\/s10845-018-1433-8.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2","key":"1685_CR53","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.omega.2011.06.002","volume":"40","author":"QK Pan","year":"2012","unstructured":"Pan, Q. K., & Wang, L. (2012). Effective heuristics for the blocking flowshop scheduling problem with makespan minimization. Omega, 40(2), 218\u2013229. https:\/\/doi.org\/10.1016\/j.omega.2011.06.002.","journal-title":"Omega"},{"issue":"3","key":"1685_CR54","doi-asserted-by":"publisher","first-page":"950","DOI":"10.1016\/j.ejor.2017.10.045","volume":"266","author":"LS Pessoa","year":"2018","unstructured":"Pessoa, L. S., & Andrade, C. E. (2018). Heuristics for a flowshop scheduling problem with stepwise job objective function. European Journal of Operational Research, 266(3), 950\u2013962. https:\/\/doi.org\/10.1016\/j.ejor.2017.10.045.","journal-title":"European Journal of Operational Research"},{"key":"1685_CR55","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.mfglet.2017.12.005","volume":"15","author":"D Rossit","year":"2018","unstructured":"Rossit, D., & Tohm\u00e9, F. (2018). Scheduling research contributions to smart manufacturing. Manufacturing Letters, 15, 111\u2013114. https:\/\/doi.org\/10.1016\/j.mfglet.2017.12.005.","journal-title":"Manufacturing Letters"},{"key":"1685_CR56","doi-asserted-by":"publisher","unstructured":"Shi, J., Wan, J., Yan, H., & Suo, H. (2011). A survey of cyber-physical systems. In 2011 international conference on wireless communications and signal processing, WCSP 2011 (pp. 1\u20136). https:\/\/doi.org\/10.1109\/WCSP.2011.6096958.","DOI":"10.1109\/WCSP.2011.6096958"},{"issue":"1","key":"1685_CR57","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/j.procs.2015.05.248","volume":"51","author":"P Snaselova","year":"2015","unstructured":"Snaselova, P., & Zboril, F. (2015). Genetic algorithm using theory of chaos. Procedia Computer Science, 51(1), 316\u2013325. https:\/\/doi.org\/10.1016\/j.procs.2015.05.248.","journal-title":"Procedia Computer Science"},{"key":"1685_CR58","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.procir.2015.12.071","volume":"41","author":"U Teschemacher","year":"2016","unstructured":"Teschemacher, U., & Reinhart, G. (2016). Enhancing constraint propagation in ACO-based schedulers for solving the job shop scheduling problem. Procedia CIRP, 41, 443\u2013447. https:\/\/doi.org\/10.1016\/j.procir.2015.12.071.","journal-title":"Procedia CIRP"},{"key":"1685_CR59","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1016\/j.promfg.2018.06.097","volume":"25","author":"AG Uriarte","year":"2018","unstructured":"Uriarte, A. G., Ng, A. H. C., & Moris, M. U. (2018). Supporting the lean journey with simulation and optimization in the context of industry 4.0. Procedia Manufacturing, 25, 586\u2013593. https:\/\/doi.org\/10.1016\/j.promfg.2018.06.097.","journal-title":"Procedia Manufacturing"},{"key":"1685_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.aci.2018.12.002","author":"MF Uslu","year":"2019","unstructured":"Uslu, M. F., Uslu, S., & Bulut, F. (2019). An adaptive hybrid approach: Combining genetic algorithm and ant colony optimization for integrated process planning and scheduling. Applied Computing and Informatics. https:\/\/doi.org\/10.1016\/j.aci.2018.12.002. (in press).","journal-title":"Applied Computing and Informatics"},{"issue":"3","key":"1685_CR61","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.jlp.2011.12.004","volume":"25","author":"IB Utne","year":"2012","unstructured":"Utne, I. B., Brurok, T., & R\u00f8dseth, H. (2012). A structured approach to improved condition monitoring. Journal of Loss Prevention in the Process Industries, 25(3), 478\u2013488. https:\/\/doi.org\/10.1016\/j.jlp.2011.12.004.","journal-title":"Journal of Loss Prevention in the Process Industries"},{"issue":"1","key":"1685_CR62","doi-asserted-by":"publisher","first-page":"7953","DOI":"10.1016\/j.ifacol.2017.08.896","volume":"50","author":"GE Vieira","year":"2017","unstructured":"Vieira, G. E., K\u00fcck, M., Frazzon, E., & Freitag, M. (2017). Evaluating the robustness of production schedules using discrete-event simulation. IFAC-PapersOnLine, 50(1), 7953\u20137958. https:\/\/doi.org\/10.1016\/j.ifacol.2017.08.896.","journal-title":"IFAC-PapersOnLine"},{"key":"1685_CR63","unstructured":"Wardhani, R., Mubarok, K., Mucha, C., Kubota, T., Lu, Y., & Xu, X. (2018). A review on Digital Twin in manufacturing process. In Proceedings of international conference on computers and industrial engineering, CIE (pp. 1\u201315)."},{"issue":"4","key":"1685_CR64","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1016\/j.jmsy.2013.04.008","volume":"32","author":"D Wu","year":"2013","unstructured":"Wu, D., Greer, M. J., Rosen, D. W., & Schaefer, D. (2013). Cloud manufacturing: Strategic vision and state-of-the-art. Journal of Manufacturing Systems, 32(4), 564\u2013579. https:\/\/doi.org\/10.1016\/j.jmsy.2013.04.008.","journal-title":"Journal of Manufacturing Systems"},{"key":"1685_CR65","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cor.2018.05.022","volume":"99","author":"Z Wu","year":"2018","unstructured":"Wu, Z., Sun, S., & Xiao, S. (2018). Risk measure of job shop scheduling with random machine breakdowns. Computers & Operations Research, 99, 1\u201312. https:\/\/doi.org\/10.1016\/j.cor.2018.05.022.","journal-title":"Computers & Operations Research"},{"issue":"4","key":"1685_CR66","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1109\/TII.2014.2300753","volume":"10","author":"L Da Xu","year":"2014","unstructured":"Xu, L. Da, He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233\u20132243. https:\/\/doi.org\/10.1109\/TII.2014.2300753.","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"4","key":"1685_CR67","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1115\/1.4030669","volume":"137","author":"S Yang","year":"2015","unstructured":"Yang, S., Bagheri, B., Kao, H. A., & Lee, J. (2015). A unified framework and platform for designing of cloud-based machine health monitoring and manufacturing systems. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 137(4), 1\u20136. https:\/\/doi.org\/10.1115\/1.4030669.","journal-title":"Journal of Manufacturing Science and Engineering, Transactions of the ASME"},{"key":"1685_CR68","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.cie.2016.03.024","volume":"97","author":"AJ Yu","year":"2016","unstructured":"Yu, A. J., & Seif, J. (2016). Minimizing tardiness and maintenance costs in flow shop scheduling by a lower-bound-based GA. Computers & Industrial Engineering, 97, 26\u201340. https:\/\/doi.org\/10.1016\/j.cie.2016.03.024.","journal-title":"Computers & Industrial Engineering"},{"issue":"6","key":"1685_CR69","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1007\/s10845-009-0250-5","volume":"21","author":"M Zandieh","year":"2010","unstructured":"Zandieh, M., Mozaffari, E., & Gholami, M. (2010). A robust genetic algorithm for scheduling realistic hybrid flexible flow line problems. Journal of Intelligent Manufacturing, 21(6), 731\u2013743. https:\/\/doi.org\/10.1007\/s10845-009-0250-5.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"1","key":"1685_CR70","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.cirp.2017.04.099","volume":"66","author":"Y Zhai","year":"2017","unstructured":"Zhai, Y., Biel, K., Zhao, F., & Sutherland, J. W. (2017). Dynamic scheduling of a flow shop with on-site wind generation for energy cost reduction under real time electricity pricing. CIRP Annals\u2014Manufacturing Technology, 66(1), 41\u201344. https:\/\/doi.org\/10.1016\/j.cirp.2017.04.099.","journal-title":"CIRP Annals\u2014Manufacturing Technology"},{"issue":"4","key":"1685_CR71","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1007\/s10845-017-1350-2","volume":"30","author":"J Zhang","year":"2019","unstructured":"Zhang, J., Ding, G., Zou, Y., Qin, S., & Fu, J. (2019a). Review of job shop scheduling research and its new perspectives under industry 4.0. Journal of Intelligent Manufacturing, 30(4), 1809\u20131830. https:\/\/doi.org\/10.1007\/s10845-017-1350-2.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2","key":"1685_CR72","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1080\/17517575.2012.683812","volume":"8","author":"L Zhang","year":"2014","unstructured":"Zhang, L., Luo, Y., Tao, F., Li, B. H., Ren, L., Zhang, X., et al. (2014a). Cloud manufacturing: a new manufacturing paradigm. Enterprise Information Systems, 8(2), 167\u2013187. https:\/\/doi.org\/10.1080\/17517575.2012.683812.","journal-title":"Enterprise Information Systems"},{"key":"1685_CR73","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.procir.2019.02.131","volume":"83","author":"H Zhang","year":"2019","unstructured":"Zhang, H., Ma, L., Sun, J., Lin, H., & Th\u00fcrer, M. (2019b). Digital Twin in services and industrial product service systems: Review and analysis. Procedia CIRP, 83, 57\u201360. https:\/\/doi.org\/10.1016\/j.procir.2019.02.131.","journal-title":"Procedia CIRP"},{"issue":"1","key":"1685_CR74","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.cirp.2014.03.011","volume":"63","author":"H Zhang","year":"2014","unstructured":"Zhang, H., Zhao, F., Fang, K., & Sutherland, J. W. (2014b). Energy-conscious flow shop scheduling under time-of-use electricity tariffs. CIRP Annals\u2014Manufacturing Technology, 63(1), 37\u201340. https:\/\/doi.org\/10.1016\/j.cirp.2014.03.011.","journal-title":"CIRP Annals\u2014Manufacturing Technology"},{"issue":"1","key":"1685_CR75","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1115\/1.4034275","volume":"139","author":"H Zhang","year":"2017","unstructured":"Zhang, H., Zhao, F., & Sutherland, J. W. (2017). Scheduling of a single flow shop for minimal energy cost under real-time electricity pricing. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 139(1), 1\u20135. https:\/\/doi.org\/10.1115\/1.4034275.","journal-title":"Journal of Manufacturing Science and Engineering, Transactions of the ASME"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01685-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-020-01685-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01685-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T06:12:00Z","timestamp":1634278320000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-020-01685-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,15]]},"references-count":75,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["1685"],"URL":"https:\/\/doi.org\/10.1007\/s10845-020-01685-9","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,15]]},"assertion":[{"value":"21 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}