{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T21:47:51Z","timestamp":1791928071391,"version":"4.3.4"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T00:00:00Z","timestamp":1791417600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100013355","name":"Sepuluh Nopember Institute of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013355","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["MethodsX"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.mex.2026.104197","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T23:51:59Z","timestamp":1791503519000},"page":"104197","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Enhancing multivariate quality monitoring: Integrating LSTM and MLS-SVR with Max-MCUSUM frameworks"],"prefix":"10.1016","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3444-2766","authenticated-orcid":false,"given":"Muhammad","family":"Ahsan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Romiz Rofan","family":"Hakim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syafi\u2019 Bariq\u2019 Syihabuddin","family":"Hidayatullah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Hisyam","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0001","article-title":"Permintaan gula kristal mentah Indonesia","volume":"18","author":"Darwanto","year":"2015","journal-title":"Ilmu Pertanian."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/00224065.1987.11979028","article-title":"A simultaneous control chart","volume":"19","author":"White","year":"1987","journal-title":"J. Qual. Technol."},{"issue":"3","key":"10.1016\/j.mex.2026.104197_bib0003","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1080\/08982119608904646","article-title":"Semicircle control chart for variables data","volume":"8","author":"Chao","year":"1996","journal-title":"Qual. Eng."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0004","first-page":"263","article-title":"Max chart: combining X-bar chart and S chart","volume":"8","author":"Chen","year":"1998","journal-title":"Stat. Sin."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0005","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1081\/QEN-200028718","article-title":"A new bivariate control chart to monitor the multivariate process mean and variance simultaneously","volume":"17","author":"Khoo","year":"2004","journal-title":"Qual. Eng."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0006","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1515\/EQC.2006.113","article-title":"Multivariate max-chart","volume":"21","author":"Thaga","year":"2006","journal-title":"Econ. Qual. Control"},{"key":"10.1016\/j.mex.2026.104197_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106524","article-title":"A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes","volume":"151","author":"Sabahno","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.mex.2026.104197_bib0008","doi-asserted-by":"crossref","first-page":"105369","DOI":"10.1109\/ACCESS.2021.3100078","article-title":"Max-half-mchart: a simultaneous control chart using a half-normal distribution for subgroup observations","volume":"9","author":"Kruba","year":"2021","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.mex.2026.104197_bib0009","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1081\/QEN-120018394","article-title":"Multivariate control chart for process dispersion based on individual observations","volume":"15","author":"Khoo","year":"2003","journal-title":"Qual. Eng."},{"issue":"6","key":"10.1016\/j.mex.2026.104197_bib0010","doi-asserted-by":"crossref","first-page":"2334","DOI":"10.1002\/qre.2860","article-title":"The effectiveness of Max-half-Mchart over Max-Mchart in simultaneously monitoring process mean and variability of individual observations","volume":"37","author":"Kruba","year":"2021","journal-title":"Qual. Reliab. Eng. Int."},{"issue":"3","key":"10.1016\/j.mex.2026.104197_bib0011","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/00401706.1991.10484836","article-title":"Some omnibus exponentially weighted moving average statistical process monitoring schemes","volume":"33","author":"Domangue","year":"1991","journal-title":"Technometrics"},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0012","first-page":"273","article-title":"An alternate variables control chart: the univariate and multivariate case","volume":"8","author":"Spiring","year":"1998","journal-title":"Stat. Sin."},{"issue":"01","key":"10.1016\/j.mex.2026.104197_bib0013","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1142\/S0218539302000652","article-title":"A new variables control chart for simultaneously monitoring multivariate process mean and variability","volume":"09","author":"Yeh","year":"2002","journal-title":"Int. J. Reliab. Qual. Saf. Eng."},{"issue":"4","key":"10.1016\/j.mex.2026.104197_bib0014","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1002\/qre.1146","article-title":"The Max EWMAMS control chart for joint monitoring of process mean and variance with individual observations","volume":"27","author":"Ostadsharif Memar","year":"2011","journal-title":"Qual. Reliab. Eng. Int."},{"issue":"20","key":"10.1016\/j.mex.2026.104197_bib0015","doi-asserted-by":"crossref","first-page":"3678","DOI":"10.1080\/03610920903324866","article-title":"Monitoring process mean and variability with one double EWMA chart","volume":"39","author":"Khoo","year":"2010","journal-title":"Commun. Stat. Theory Methods"},{"issue":"3","key":"10.1016\/j.mex.2026.104197_bib0016","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1080\/16843703.2006.11673116","article-title":"A single EWMA chart for monitoring process mean and process variance","volume":"3","author":"Costa","year":"2006","journal-title":"Qual. Technol. Quant. Manag."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0017","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1081\/SAC-200047087","article-title":"A new multivariate control chart for monitoring both location and dispersion","volume":"34","author":"Chen","year":"2005","journal-title":"Commun. Stat. Simul. Comput."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0018","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1002\/qre.1036","article-title":"A control chart based on likelihood ratio test for monitoring process mean and variability","volume":"26","author":"Zhang","year":"2010","journal-title":"Qual. Reliab. Eng. Int."},{"key":"10.1016\/j.mex.2026.104197_bib0019","first-page":"85","article-title":"The max-CUSUM chart","volume":"9","author":"Cheng","year":"2010"},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0020","doi-asserted-by":"crossref","DOI":"10.1515\/EQC.2009.117","article-title":"SS-CUSUM chart","volume":"24","author":"Thaga","year":"2009","journal-title":"Econ. Qual. Control"},{"issue":"2","key":"10.1016\/j.mex.2026.104197_bib0021","first-page":"527","article-title":"Max-CUSUM chart for autocorrelated processes","volume":"15","author":"Cheng","year":"2005","journal-title":"Stat. Sin."},{"issue":"2","key":"10.1016\/j.mex.2026.104197_bib0022","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1080\/16843703.2005.11673095","article-title":"Multivariate max-CUSUM chart","volume":"2","author":"Cheng","year":"2005","journal-title":"Qual. Technol. Quant. Manag."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0023","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1080\/16843703.2018.1535765","article-title":"Bootstrap-based maximum multivariate CUSUM control chart","volume":"17","author":"Khusna","year":"2020","journal-title":"Qual. Technol. Quant. Manag."},{"key":"10.1016\/j.mex.2026.104197_bib0024","series-title":"Introduction to Statistical Quality Control","author":"Montgomery","year":"2020"},{"issue":"2","key":"10.1016\/j.mex.2026.104197_bib0025","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1002\/qre.695","article-title":"Effect of autocorrelation on performance of the MCUSUM control chart","volume":"22","author":"Noorossana","year":"2006","journal-title":"Qual. Reliab. Eng. Int."},{"issue":"4","key":"10.1016\/j.mex.2026.104197_bib0026","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1080\/16843703.2007.11673168","article-title":"SPC procedures for monitoring autocorrelated processes","volume":"4","author":"Psarakis","year":"2007","journal-title":"Qual. Technol. Quant. Manag."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0027","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1080\/07350015.1988.10509640","article-title":"Time-series modeling for statistical process control","volume":"6","author":"Alwan","year":"1988","journal-title":"J. Bus. Econ. Stat."},{"issue":"6","key":"10.1016\/j.mex.2026.104197_bib0028","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1080\/03610910801942422","article-title":"Measuring time series predictability using support vector regression","volume":"37","author":"Sato","year":"2008","journal-title":"Commun. Stat. Simul. Comput."},{"issue":"1\u20132","key":"10.1016\/j.mex.2026.104197_bib0029","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/S0169-7439(03)00111-4","article-title":"Using support vector machines for time series prediction","volume":"69","author":"Thissen","year":"2003","journal-title":"Chemom. Intell. Lab. Syst."},{"issue":"3","key":"10.1016\/j.mex.2026.104197_bib0030","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","article-title":"Least squares support vector machine classifiers","volume":"9","author":"Suykens","year":"1999","journal-title":"Neural Process. Lett."},{"issue":"9","key":"10.1016\/j.mex.2026.104197_bib0031","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1016\/j.patrec.2013.01.015","article-title":"Multi-output least-squares support vector regression machines","volume":"34","author":"Xu","year":"2013","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.mex.2026.104197_bib0032","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.patrec.2023.12.007","article-title":"A critical review of multi-output support vector regression","volume":"178","author":"Tran","year":"2024","journal-title":"Pattern Recognit. Lett."},{"issue":"8","key":"10.1016\/j.mex.2026.104197_bib0033","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0034","first-page":"364","article-title":"Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes","volume":"7","author":"Khusna","year":"2019","journal-title":"Prod. Manuf. Res."},{"issue":"1","key":"10.1016\/j.mex.2026.104197_bib0035","article-title":"Pengendalian kualitas proses produksi hasil gula kristal putih di PG Djatiroto PTPN XI menggunakan diagram kontrol maximum multivariate cumulative sum (Max-MCUSUM) berbasis residual model multioutput least square support vector regression (MLS-SVR)","volume":"12","author":"Yunika","year":"2023","journal-title":"J. Sains Dan Seni ITS"},{"issue":"8","key":"10.1016\/j.mex.2026.104197_bib0036","doi-asserted-by":"crossref","first-page":"2687","DOI":"10.1002\/qre.2551","article-title":"Deep recurrent neural network-based residual control chart for autocorrelated processes","volume":"35","author":"Chen","year":"2019","journal-title":"Qual. Reliab. Eng. Int."},{"key":"10.1016\/j.mex.2026.104197_bib0037","first-page":"1001","article-title":"Multivariate exponentially weighted moving average (MEWMA) and multivariate exponentially weighted moving variance (MEWMV) chart based on residual XGBoost regression for monitoring water quality","volume":"31","author":"Sulistiawanti","year":"2023","journal-title":"Eng. Lett."},{"issue":"3","key":"10.1016\/j.mex.2026.104197_bib0038","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1080\/08982112.2022.2044049","article-title":"Deep learning-based residual control chart for count data","volume":"34","author":"Kim","year":"2022","journal-title":"Qual. Eng."},{"key":"10.1016\/j.mex.2026.104197_bib0039","series-title":"Monitoring the Quality of Water Production Process in Surabaya Using Max-MCUSUM Control Chart Based on Residual Deep Learning LSTM Model","first-page":"211","author":"Aliyah","year":"2025"},{"issue":"2","key":"10.1016\/j.mex.2026.104197_bib0040","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s40745-020-00253-5","article-title":"A comprehensive survey of loss functions in machine learning","volume":"9","author":"Wang","year":"2022","journal-title":"Ann. Data Sci."}],"container-title":["MethodsX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2215016126004139?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2215016126004139?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T21:25:48Z","timestamp":1791926748000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2215016126004139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":40,"alternative-id":["S2215016126004139"],"URL":"https:\/\/doi.org\/10.1016\/j.mex.2026.104197","relation":{},"ISSN":["2215-0161"],"issn-type":[{"value":"2215-0161","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhancing multivariate quality monitoring: Integrating LSTM and MLS-SVR with Max-MCUSUM frameworks","name":"articletitle","label":"Article Title"},{"value":"MethodsX","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mex.2026.104197","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"104197"}}