{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:50:33Z","timestamp":1772758233650,"version":"3.50.1"},"reference-count":185,"publisher":"Informa UK Limited","issue":"22","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Production Research"],"published-print":{"date-parts":[[2022,11,17]]},"DOI":"10.1080\/00207543.2021.1946192","type":"journal-article","created":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T20:31:25Z","timestamp":1625603485000},"page":"6866-6887","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":25,"title":["Linking data science to lean production: a model to support lean practices"],"prefix":"10.1080","volume":"60","author":[{"given":"Rossella","family":"Pozzi","sequence":"first","affiliation":[{"name":"School of Industrial Engineering, LIUC University","place":["Castellanza, Italy"]}]},{"given":"Violetta Giada","family":"Cannas","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering, LIUC University","place":["Castellanza, Italy"]}]},{"given":"Maria Pia","family":"Ciano","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering, LIUC University","place":["Castellanza, Italy"]}]}],"member":"301","published-online":{"date-parts":[[2021,7,6]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v18.i2.pp1040-1047"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2016.09.023"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/isre.2014.0546"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1108\/EJIM-02-2018-0030"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2016.08.018"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5185-2"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.orp.2018.100089"},{"key":"e_1_3_4_9_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJPPM-07-2017-0170"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJQRM-07-2019-0230"},{"key":"e_1_3_4_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11135-014-0036-5"},{"key":"e_1_3_4_12_1","volume-title":"Analytics in a Big Data World: The Essential Guide to Data Science and its Applications","author":"Baesens B.","year":"2014","unstructured":"Baesens, B. 2014. Analytics in a Big Data World: The Essential Guide to Data Science and its Applications. New Jersey: John Wiley & Sons."},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1498986"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/asmb.2504"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0955-6419.2005.00369.x"},{"key":"e_1_3_4_16_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJITSA.2020070104"},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1530476"},{"issue":"157","key":"e_1_3_4_18_1","first-page":"72","article-title":"Prioritization of Lean Six Sigma Improvement Projects Using Data Envelopment Analysis Cross Efficiency Model","volume":"18","author":"Bazrkar A.","year":"2017","unstructured":"Bazrkar, A., and S. Iranzadeh. 2017. \u201cPrioritization of Lean Six Sigma Improvement Projects Using Data Envelopment Analysis Cross Efficiency Model.\u201d Calitatea 18 (157): 72.","journal-title":"Calitatea"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2014.903348"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.119903"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2016.1211346"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJOPM-08-2012-0315"},{"key":"e_1_3_4_23_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1832274"},{"key":"e_1_3_4_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2014.10.013"},{"key":"e_1_3_4_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1790684"},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1442945"},{"key":"e_1_3_4_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2017.08.033"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3076253"},{"key":"e_1_3_4_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2018.04.004"},{"key":"e_1_3_4_30_1","doi-asserted-by":"crossref","unstructured":"Chadli N. M. I. Kabbaj and Z. Bakkoury. 2018 October. \u201cDetection of Dataflow Anomalies in Business Process: An Overview of Modeling Approaches.\u201d In Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications 1\u20136.","DOI":"10.1145\/3289402.3289537"},{"key":"e_1_3_4_31_1","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2018917977"},{"key":"e_1_3_4_32_1","doi-asserted-by":"crossref","unstructured":"Chen C. Y. Wang G. Huang and H. Xiong. 2019 December. \u201cHierarchical Demand Forecasting for Factory Production of Perishable Goods.\u201d In 2019 IEEE International Conference on Big Data (Big Data) 188\u2013193. IEEE.","DOI":"10.1109\/BigData47090.2019.9006161"},{"key":"e_1_3_4_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2017.08.001"},{"key":"e_1_3_4_34_1","doi-asserted-by":"publisher","DOI":"10.1108\/20401461111189425"},{"key":"e_1_3_4_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jom.2006.08.002"},{"key":"e_1_3_4_36_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1821119"},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1566667"},{"key":"e_1_3_4_38_1","doi-asserted-by":"publisher","DOI":"10.1142\/S1793005717400038"},{"key":"e_1_3_4_39_1","doi-asserted-by":"crossref","unstructured":"Conforti V. A. Bulgarelli V. Fioretti F. Gianotti G. Malaguti M. Trifoglio L. A. Antonelli et al. 2017. \u201cProcedures of Software Integration Test and Release for ASTRI SST-2M prototype Proposed for the Cherenkov Telescope Array.\u201d In Proc. ICALEPS.","DOI":"10.1117\/12.2230016"},{"key":"e_1_3_4_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6963(01)00066-3"},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1108\/17542730910938137"},{"key":"e_1_3_4_42_1","first-page":"121","article-title":"Study on Sustainable Urbanization Literature Based on Web of Science, Scopus, and China National Knowledge Infrastructure: A Scientometric Analysis in CiteSpace","volume":"264","author":"Dan Z.","year":"2020","unstructured":"Dan, Z., X. Jiapeng, Z. Yizhu, W. Jing, H. Siyu, and Z. Xiao. 2020. \u201cStudy on Sustainable Urbanization Literature Based on Web of Science, Scopus, and China National Knowledge Infrastructure: A Scientometric Analysis in CiteSpace.\u201d Journal of Cleaner Production 264: 121\u2013537.","journal-title":"Journal of Cleaner Production"},{"issue":"5","key":"e_1_3_4_43_1","first-page":"70","article-title":"Data Scientist","volume":"90","author":"Davenport T. H.","year":"2012","unstructured":"Davenport, T. H., and D. J. Patil. 2012. \u201cData Scientist.\u201d Harvard Business Review 90 (5): 70\u201376.","journal-title":"Harvard Business Review"},{"key":"e_1_3_4_44_1","volume-title":"Lean Production Simplified: A Plain Language Guide to the World\u2019s Most Powerful Production Systems","author":"Dennis P.","year":"2007","unstructured":"Dennis, P., and J. Shook. 2007. Lean Production Simplified: A Plain Language Guide to the World\u2019s Most Powerful Production Systems. New York: Productivity Press."},{"key":"e_1_3_4_45_1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/978-3-319-58409-6_37","volume-title":"Closing the gap Between Practice and Research in Industrial Engineering","author":"Deuse J.","year":"2018","unstructured":"Deuse, J., C. Heuser, B. Konrad, D. Lenze, T. Maschek, M. Wiegand, and P. Willats. 2018. \u201cPushing the Limits of Lean Thinking\u2013Design and Management of Complex Production Systems.\u201d In Closing the gap Between Practice and Research in Industrial Engineering, 335\u2013342. Cham: Springer."},{"key":"e_1_3_4_46_1","unstructured":"Dogan O. and O. F. Gurcan. 2018. \u201cData Perspective of Lean Six Sigma in Industry 4.0 Era: A Guide to Improve Quality.\u201d In Proceedings of the International Conference on Industrial Engineering and Operations Management Paris."},{"key":"e_1_3_4_47_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2017.1384734"},{"key":"e_1_3_4_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0278-6125(05)80007-X"},{"key":"e_1_3_4_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2018.07.153"},{"key":"e_1_3_4_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2019.09.001"},{"key":"e_1_3_4_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2018.02.004"},{"key":"e_1_3_4_52_1","unstructured":"Fang P. Y. Jiang and R. Y. Zhong. 2018 December. \u201cReal-Time Monitoring of Workshop Status Based on Internet of Things.\u201d In Proceedings of the 2018 48th IEEE International Conference on Computers and Industrial Engineering (CIE 48) Auckland New Zealand 2\u20135."},{"key":"e_1_3_4_53_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1735660"},{"key":"e_1_3_4_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08422-0_43"},{"key":"e_1_3_4_55_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2019.1701753"},{"key":"e_1_3_4_56_1","doi-asserted-by":"publisher","DOI":"10.1108\/02656711011023294"},{"key":"e_1_3_4_57_1","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/969458"},{"key":"e_1_3_4_58_1","doi-asserted-by":"publisher","DOI":"10.1080\/01605682.2019.1678406"},{"key":"e_1_3_4_59_1","doi-asserted-by":"crossref","first-page":"1963","DOI":"10.1007\/978-0-387-39940-9_1318","volume-title":"The Encyclopedia of Database Systems","author":"Gruber T.","year":"2009","unstructured":"Gruber, T. 2009. \u201cOntology.\u201d In The Encyclopedia of Database Systems, edited by L. Ling and M. Tamer \u00d6zsu, 1963\u20131965. New York, NY, USA: Springer."},{"key":"e_1_3_4_60_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1598599"},{"key":"e_1_3_4_61_1","unstructured":"Guzikowski S. J. Bergum M. Cassidy L. Dong C. Lai B. Patel M. Randazzo et al. 2010. \u201cApplications of Model-Based Quality by Design for Reaction Engineering.\u201d AIChE Annual Meeting Salt Lake City Utah."},{"key":"e_1_3_4_62_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1641642"},{"key":"e_1_3_4_63_1","doi-asserted-by":"publisher","DOI":"10.25045\/jpit.v09.i1.07"},{"key":"e_1_3_4_64_1","doi-asserted-by":"crossref","unstructured":"Hassani A. and S. A. Ghannouchi. 2017. \u201cExploring the Integration of Business Process with Nosql Databases in the Context of BPM.\u201d In International Conference on Intelligent Systems Design and Applications 771\u2013784. Cham: Springer.","DOI":"10.1007\/978-3-319-76348-4_74"},{"key":"e_1_3_4_65_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2014.04.018"},{"key":"e_1_3_4_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-016-2226-0"},{"key":"e_1_3_4_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2017.06.012"},{"key":"e_1_3_4_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2019.04.010"},{"key":"e_1_3_4_69_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.2546"},{"key":"e_1_3_4_70_1","doi-asserted-by":"crossref","unstructured":"Heath F. F. R. Hull E. Khabiri M. Riemer N. Sukaviriya and R. Vacul\u00edn. 2015 June. \u201cAlexandria: Extensible Framework for Rapid Exploration of Social media.\u201d In 2015 IEEE International Congress on Big Data 483\u2013490. IEEE.","DOI":"10.1109\/BigDataCongress.2015.77"},{"key":"e_1_3_4_71_1","doi-asserted-by":"crossref","unstructured":"Husain W. L. W. Koon L. T. Zhao and N. T. B. A. Aziz. 2016 August. \u201cA Proposed Framework for Enhancing a Supply Chain Management System to Support Flood Disaster Relief Operations.\u201d In 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) 25\u201330. IEEE.","DOI":"10.1109\/ICCOINS.2016.7783183"},{"key":"e_1_3_4_72_1","doi-asserted-by":"publisher","DOI":"10.1299\/jamdsm.2020jamdsm0027"},{"key":"e_1_3_4_73_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.005"},{"key":"e_1_3_4_74_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1321799"},{"key":"e_1_3_4_75_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2014.937508"},{"key":"e_1_3_4_76_1","doi-asserted-by":"publisher","DOI":"10.1080\/14783361003606720"},{"key":"e_1_3_4_77_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11625-007-0027-8"},{"key":"e_1_3_4_78_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1630770"},{"key":"e_1_3_4_79_1","doi-asserted-by":"crossref","unstructured":"Kameswari U Surya and I. Ramesh Babu. 2016. \u201cSensor Data Analysis and Anomaly Detection Using Predictive Analytics for Process Industries.\u201d In 2015 IEEE Workshop on Computational Intelligence: Theories Applications and Future Directions (WCI) 1\u20138. IEEE.","DOI":"10.1109\/WCI.2015.7495528"},{"key":"e_1_3_4_80_1","doi-asserted-by":"publisher","DOI":"10.1108\/01443579610109820"},{"issue":"2","key":"e_1_3_4_81_1","first-page":"64","article-title":"Big Data Analysis for Data Visualization: A Review","volume":"5","author":"Khalid Z. M.","year":"2021","unstructured":"Khalid, Z. M., and S. R. Zebaree. 2021. \u201cBig Data Analysis for Data Visualization: A Review.\u201d International Journal of Science and Business 5 (2): 64\u201375.","journal-title":"International Journal of Science and Business"},{"key":"e_1_3_4_82_1","doi-asserted-by":"crossref","unstructured":"Khurana M. and D. Kumar. 2017 December. \u201cThe Study of Data Analytics in Inventory Management.\u201d In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS) 140\u2013144. IEEE.","DOI":"10.1109\/ICTUS.2017.8285993"},{"key":"e_1_3_4_83_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10551-016-3266-8"},{"key":"e_1_3_4_84_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1671625"},{"key":"e_1_3_4_85_1","unstructured":"Kluza K. M. Baran S. Bobek and G. J. Nalepa. 2013. \u201cOverview of Recommendation Techniques in Business Process Modeling.\u201d In Proceedings of 9th Workshop on Knowledge Engineering and Software Engineering (KESE9) 46\u201357."},{"key":"e_1_3_4_86_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.04.063"},{"issue":"1","key":"e_1_3_4_87_1","first-page":"41","article-title":"Triumph of the Lean Production System","volume":"30","author":"Krafcik J. F.","year":"1988","unstructured":"Krafcik, J. F. 1988. \u201cTriumph of the Lean Production System.\u201d Sloan Management Review 30 (1): 41\u201352.","journal-title":"Sloan Management Review"},{"key":"e_1_3_4_88_1","doi-asserted-by":"crossref","unstructured":"Krenczyk D. and M. Jagodzinski. 2015. \u201cERP APS and Simulation Systems Integration to Support Production Planning and Scheduling.\u201d In 10th International Conference on Soft Computing Models in Industrial and Environmental Applications 451\u2013461. Cham: Springer.","DOI":"10.1007\/978-3-319-19719-7_39"},{"key":"e_1_3_4_89_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-015-0412-2"},{"key":"e_1_3_4_90_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1424367"},{"key":"e_1_3_4_91_1","doi-asserted-by":"publisher","DOI":"10.3233\/SJI-190530"},{"key":"e_1_3_4_92_1","doi-asserted-by":"publisher","DOI":"10.5604\/01.3001.0012.0923"},{"key":"e_1_3_4_93_1","doi-asserted-by":"publisher","DOI":"10.7494\/dmms.2011.5.1.57"},{"key":"e_1_3_4_94_1","volume-title":"Toyota Way: 14 Management Principles from the World\u2019s Greatest Manufacturer","author":"Liker J. K.","year":"2004","unstructured":"Liker, J. K. 2004. Toyota Way: 14 Management Principles from the World\u2019s Greatest Manufacturer. New York, NY: McGraw-Hill Education."},{"key":"e_1_3_4_95_1","doi-asserted-by":"publisher","DOI":"10.1080\/10429247.2011.11431884"},{"key":"e_1_3_4_96_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6963(02)00087-6"},{"key":"e_1_3_4_97_1","doi-asserted-by":"crossref","unstructured":"Liu Q. K. Miao and K. Lin. 2019 June. \u201cInventory Management of Automobile After-sales Parts Based on Data Mining.\u201d In Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference 195\u2013199.","DOI":"10.1145\/3341069.3342975"},{"key":"e_1_3_4_98_1","doi-asserted-by":"publisher","DOI":"10.1108\/JMTM-11-2017-0236"},{"key":"e_1_3_4_99_1","doi-asserted-by":"publisher","DOI":"10.1177\/001979399504800201"},{"key":"e_1_3_4_100_1","doi-asserted-by":"publisher","DOI":"10.4324\/9781420080971"},{"key":"e_1_3_4_101_1","doi-asserted-by":"publisher","DOI":"10.1108\/14635771211224572"},{"key":"e_1_3_4_102_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.826831"},{"key":"e_1_3_4_103_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.03.292"},{"key":"e_1_3_4_104_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207540050031823"},{"key":"e_1_3_4_105_1","doi-asserted-by":"crossref","unstructured":"Meester W. J. S. Steiginga and C. A. Ross. 2017. A Brief History of Scopus: The World\u2019s Largest Abstract and Citation Database of Scientific Literature. Research Analytics: Boosting University Productivity and Competitiveness THROUGH Scientometrics. 31.","DOI":"10.1201\/9781315155890-3"},{"key":"e_1_3_4_106_1","first-page":"13","article-title":"IPRODICT-Intelligent Process Prediction Based on Big Data Analytics","volume":"2017","author":"Mehdiyev Nijat","year":"2017","unstructured":"Mehdiyev, Nijat, Andreas Emrich, Bj\u00f6rn P Stahmer, Peter Fettke, and Peter Loos. 2017. \u201cIPRODICT-Intelligent Process Prediction Based on Big Data Analytics.\u201d BPM (Industry Track) 2017: 13\u201324.","journal-title":"BPM (Industry Track)"},{"key":"e_1_3_4_107_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.11.054"},{"key":"e_1_3_4_108_1","first-page":"190","article-title":"Data-Driven Deep Learning for Proactive Terminal Process Management","author":"Metzger A.","year":"2019","unstructured":"Metzger, A., J. Franke, and T. Jansen. 2019. \u201cData-Driven Deep Learning for Proactive Terminal Process Management.\u201d In BPM (Industry Forum), 190\u2013201.","journal-title":"In BPM (Industry Forum)"},{"key":"e_1_3_4_109_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2017.04.005"},{"key":"e_1_3_4_110_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2015.03.008"},{"key":"e_1_3_4_111_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40176-3_14"},{"key":"e_1_3_4_112_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2018.09.002"},{"key":"e_1_3_4_113_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2017.10.010"},{"key":"e_1_3_4_114_1","doi-asserted-by":"crossref","unstructured":"Moreno R. J. C. Pereira A. L\u00f3pez A. Mohammed and P. Pahlevannejad. 2019 November. \u201cTime Series Display for Knowledge Discovery on Selective Laser Melting Machines.\u201d In International Conference on Intelligent Data Engineering and Automated Learning 280\u2013290. Cham: Springer.","DOI":"10.1007\/978-3-030-33617-2_29"},{"key":"e_1_3_4_115_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2016.04.097"},{"key":"e_1_3_4_116_1","doi-asserted-by":"publisher","DOI":"10.1080\/09537287.2016.1231853"},{"key":"e_1_3_4_117_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.026113"},{"key":"e_1_3_4_118_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJLSS-11-2016-0074"},{"key":"e_1_3_4_119_1","doi-asserted-by":"publisher","DOI":"10.1177\/001979399404700202"},{"key":"e_1_3_4_120_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-5273(98)00066-8"},{"key":"e_1_3_4_121_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2017.08.009"},{"key":"e_1_3_4_122_1","doi-asserted-by":"publisher","DOI":"10.12776\/qip.v24i1.1430"},{"key":"e_1_3_4_123_1","doi-asserted-by":"crossref","unstructured":"Patil Ranjeet and Balaji Thiagarajan. 2019. \u201cDesign Optimization through Blended Reliability Six Sigma and Analytics Tools.\u201d In 2019 Annual Reliability and Maintainability Symposium (RAMS) 1\u20133. IEEE.","DOI":"10.1109\/RAMS.2019.8768983"},{"key":"e_1_3_4_124_1","doi-asserted-by":"crossref","unstructured":"Petrasch R. and R. Hentschke. 2016 July. \u201cProcess Modeling for Industry 4.0 Applications: Towards an Industry 4.0 Process Modeling Language and Method.\u201d In 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) 1\u20135. IEEE.","DOI":"10.1109\/JCSSE.2016.7748885"},{"key":"e_1_3_4_125_1","doi-asserted-by":"publisher","DOI":"10.1108\/17542730910938137"},{"key":"e_1_3_4_126_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jom.2004.07.009"},{"key":"e_1_3_4_127_1","doi-asserted-by":"crossref","unstructured":"Phuong N. A. and T. Guidat. 2018 July. \u201cSustainable Value Stream Mapping and Technologies of Industry 4.0 in Manufacturing Process Reconfiguration: A Case Study in an Apparel Company.\u201d In 2018 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI) 85\u201390. IEEE.","DOI":"10.1109\/SOLI.2018.8476750"},{"key":"e_1_3_4_128_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2013.1508"},{"key":"e_1_3_4_129_1","doi-asserted-by":"publisher","DOI":"10.1080\/13675567.2018.1459523"},{"key":"e_1_3_4_130_1","doi-asserted-by":"publisher","DOI":"10.1080\/14783363.2018.1426452"},{"key":"e_1_3_4_131_1","doi-asserted-by":"crossref","unstructured":"Revina A. 2018. \u201cAssessing Process Suitability for AI-Based Automation. Research Idea and Design.\u201d In International Conference on Business Information Systems 697\u2013706. Cham: Springer.","DOI":"10.1007\/978-3-030-04849-5_59"},{"key":"e_1_3_4_132_1","doi-asserted-by":"crossref","first-page":"52","DOI":"10.4018\/978-1-7998-2963-8.ch003","volume-title":"Digital Marketing Strategies and Models for Competitive Business","author":"Ribeiro M. I. B.","year":"2020","unstructured":"Ribeiro, M. I. B., A. J. G. Fernandes, and I. M. Lopes. 2020. \u201cDigital Marketing: A Bibliometric Analysis Based on the Scopus Database Scientific Publications.\u201d In Digital Marketing Strategies and Models for Competitive Business, edited by Fulya Acikgoz, Raquel Antunes, Maria Fernanda Augusto, Cardoso Sara, Erkan Ismail, Esteves Maria Micaela Dinis, Gago Pedro, et al., 52\u201373. Hershey, Pennsylvania: IGI Global."},{"key":"e_1_3_4_133_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1672902"},{"key":"e_1_3_4_134_1","doi-asserted-by":"crossref","unstructured":"Rubab Saddaf Syed A Taqvi and Mohd Fadzil Hassan. 2019. \u201cRealizing the Value of Big Data in Process Monitoring and Control: Current Issues and Opportunities.\u201d In International Conference of Reliable Information and Communication Technology 128\u2013138. Springer.","DOI":"10.1007\/978-3-319-99007-1_13"},{"key":"e_1_3_4_135_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1651458"},{"key":"e_1_3_4_136_1","first-page":"707","volume-title":"Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering","author":"Sarkar S.","year":"2020","unstructured":"Sarkar, S., N. Ejaz, M. Kumar, and J. Maiti. 2020. \u201cRoot Cause Analysis of Incidents Using Text Clustering and Classification Algorithms.\u201d In Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering. Vol. 605., edited by P. Singh, B. Panigrahi, N. Suryadevara, S. Sharma, and A. Singh, 707\u2013718. Cham: Springer."},{"key":"e_1_3_4_137_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2010.482567"},{"key":"e_1_3_4_138_1","doi-asserted-by":"crossref","unstructured":"Sch\u00e4fer Franziska Christian Zeiselmair Jonas Becker and Heiner Otten. 2018. \u201cSynthesizing CRISP-DM and Quality Management: A Data Mining Approach for Production Processes.\u201d In 2018 IEEE International Conference on Technology Management Operations and Decisions (ICTMOD) 190\u2013195. IEEE.","DOI":"10.1109\/ITMC.2018.8691266"},{"key":"e_1_3_4_139_1","doi-asserted-by":"crossref","unstructured":"Schwenzfeier Nils and Volker Gruhn. 2018. \u201cToward a Practical Process Model for Anomaly Detection Systems.\u201d In 2018 IEEE\/ACM 1st International Workshop on Software Engineering for Cognitive Services (SE4COG) 41\u201344. IEEE.","DOI":"10.1145\/3195555.3195568"},{"key":"e_1_3_4_140_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2011.603372"},{"key":"e_1_3_4_141_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207540802230504"},{"key":"e_1_3_4_142_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6963(02)00108-0"},{"key":"e_1_3_4_143_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jom.2007.01.019"},{"key":"e_1_3_4_144_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-05124-0"},{"key":"e_1_3_4_145_1","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2016.1185156"},{"key":"e_1_3_4_146_1","doi-asserted-by":"crossref","unstructured":"Shao G. S. J. Shin and S. Jain. 2014 December. \u201cData Analytics Using Simulation for Smart Manufacturing.\u201d In Proceedings of the Winter Simulation Conference 2014 2192\u20132203. IEEE.","DOI":"10.1109\/WSC.2014.7020063"},{"issue":"5","key":"e_1_3_4_147_1","first-page":"3900","article-title":"Supplier Issues for Lean Implementation","volume":"3","author":"Sharma S. K.","year":"2011","unstructured":"Sharma, S. K., R. D. Gupta, A. Kumar, and B. Singh. 2011. \u201cSupplier Issues for Lean Implementation.\u201d International Journal of Engineering Science and Technology 3 (5): 3900\u20133905.","journal-title":"International Journal of Engineering Science and Technology"},{"key":"e_1_3_4_148_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2016.08.001"},{"key":"e_1_3_4_149_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2014.06.004"},{"key":"e_1_3_4_150_1","doi-asserted-by":"crossref","unstructured":"Stojanovic L. M. Dinic N. Stojanovic and A. Stojadinovic. 2016 December. \u201cBig-Data-Driven Anomaly Detection in Industry (4.0): An Approach and a Case Study.\u201d In 2016 IEEE International Conference on Big Data (Big Data) 1647\u20131652. IEEE.","DOI":"10.1109\/BigData.2016.7840777"},{"key":"e_1_3_4_151_1","doi-asserted-by":"crossref","unstructured":"Stojanovic N. and D. Milenovic. 2018 December. \u201cData-Driven Digital Twin Approach for Process optimization: An Industry Use Case.\u201d In 2018 IEEE International Conference on Big Data (Big Data) 4202\u20134211. IEEE.","DOI":"10.1109\/BigData.2018.8622412"},{"key":"e_1_3_4_152_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1326643"},{"key":"e_1_3_4_153_1","doi-asserted-by":"publisher","DOI":"10.3390\/info10010029"},{"key":"e_1_3_4_154_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2014.12.341"},{"key":"e_1_3_4_155_1","volume-title":"Data Analysis in the Cloud: Models, Techniques and Applications","author":"Talia D.","year":"2015","unstructured":"Talia, D., P. Trunfio, and F. Marozzo. 2015. Data Analysis in the Cloud: Models, Techniques and Applications. Amsterdam: Elsevier."},{"key":"e_1_3_4_156_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2014.12.034"},{"key":"e_1_3_4_157_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.07.022"},{"key":"e_1_3_4_158_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)ME.1943-5479.0000354"},{"key":"e_1_3_4_159_1","doi-asserted-by":"publisher","DOI":"10.1108\/20401461011075017"},{"key":"e_1_3_4_160_1","doi-asserted-by":"crossref","unstructured":"Toasa R. M. Maximiano C. Reis and D. Guevara. 2018 June. \u201cData Visualization Techniques for Real-Time Information \u2013 A Custom and Dynamic Dashboard for Analyzing Surveys\u2019 Results.\u201d In 2018 13th Iberian Conference on Information Systems and Technologies (CISTI) 1\u20137. IEEE.","DOI":"10.23919\/CISTI.2018.8398641"},{"key":"e_1_3_4_161_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1391420"},{"key":"e_1_3_4_162_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJOPM-01-2019-0005"},{"key":"e_1_3_4_163_1","doi-asserted-by":"crossref","unstructured":"Valamede L. S. and A. C. S. Akkari. 2020. Lean 4.0: A New Holistic Approach for the Integration of Lean Manufacturing Tools and Digital Technologies.","DOI":"10.33889\/IJMEMS.2020.5.5.066"},{"key":"e_1_3_4_164_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19345-3"},{"key":"e_1_3_4_165_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1244"},{"key":"e_1_3_4_166_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2493732"},{"key":"e_1_3_4_167_1","doi-asserted-by":"publisher","DOI":"10.1002\/asmb.2488"},{"key":"e_1_3_4_168_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1660822"},{"key":"e_1_3_4_169_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJWET.2019.105589"},{"key":"e_1_3_4_170_1","doi-asserted-by":"publisher","DOI":"10.1111\/jbl.12010"},{"key":"e_1_3_4_171_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2010.07.002"},{"key":"e_1_3_4_172_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2014.12.031"},{"key":"e_1_3_4_173_1","doi-asserted-by":"crossref","unstructured":"Wang Z. and H. Zhao. 2016 June. \u201cEmpirical Study of Using Big Data for Business Process Improvement at Private Manufacturing Firm in Cloud Computing.\u201d In 2016 IEEE 3rd international conference on cyber security and cloud computing (CSCloud) 129\u2013135. IEEE.","DOI":"10.1109\/CSCloud.2016.11"},{"key":"e_1_3_4_174_1","doi-asserted-by":"crossref","unstructured":"Wang B. J. Y. Zhao Z. G. Wan J. H. Ma H. Li and J. Ma. 2016. \u201cLean Intelligent Production System and Value Stream Practice.\u201d Paper Presented at the 3rd International Conference on Economics and Management ICEM 2016 Jiangsu.","DOI":"10.12783\/dtem\/icem2016\/4106"},{"key":"e_1_3_4_175_1","doi-asserted-by":"publisher","DOI":"10.1108\/20401461011033176"},{"key":"e_1_3_4_176_1","volume-title":"The Machine That Changed the World","author":"Womack J. P.","year":"1990","unstructured":"Womack, J. P., D. T. Jones, and D. Roos. 1990. The Machine That Changed the World. New York: Rawson Associates."},{"issue":"3","key":"e_1_3_4_177_1","first-page":"1","article-title":"Development and Implementation of Real-Time web-Based Dashboards in a Multisite Transfusion Service","volume":"10","author":"Woo J. S.","year":"2019","unstructured":"Woo, J. S., P. Suslow, R. Thorsen, R. Ma, S. Bakhtary, M. Moayeri, and A. Nambiar. 2019. \u201cDevelopment and Implementation of Real-Time web-Based Dashboards in a Multisite Transfusion Service.\u201d Journal of Pathology Informatics 10 (3): 1\u20137.","journal-title":"Journal of Pathology Informatics"},{"key":"e_1_3_4_178_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1444806"},{"key":"e_1_3_4_179_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1717011"},{"key":"e_1_3_4_180_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b01325"},{"key":"e_1_3_4_181_1","doi-asserted-by":"crossref","unstructured":"Yang Hanna Minjeong Park Minsu Cho Minseok Song and Seongjoo Kim. 2014. \u201cA System Architecture for Manufacturing Process Analysis Based on Big Data and Process Mining Techniques.\u201d In 2014 IEEE International Conference on Big Data (Big Data) 1024\u20131029. IEEE.","DOI":"10.1109\/BigData.2014.7004336"},{"key":"e_1_3_4_182_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2018.04.004"},{"key":"e_1_3_4_183_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1086037"},{"key":"e_1_3_4_184_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2018.09.003"},{"key":"e_1_3_4_185_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-1617-6"},{"key":"e_1_3_4_186_1","doi-asserted-by":"publisher","DOI":"10.1080\/08982112.2018.1434892"}],"container-title":["International Journal of Production Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00207543.2021.1946192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T19:08:07Z","timestamp":1770404887000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00207543.2021.1946192"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,6]]},"references-count":185,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2022,11,17]]}},"alternative-id":["10.1080\/00207543.2021.1946192"],"URL":"https:\/\/doi.org\/10.1080\/00207543.2021.1946192","relation":{},"ISSN":["0020-7543","1366-588X"],"issn-type":[{"value":"0020-7543","type":"print"},{"value":"1366-588X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,6]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-10-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-13","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}