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To this aim, an integrated Box\u2013Behnken design (BBD) and cross-efficiency data envelopment analysis (DEA) under a neutrosophic environment have been implemented. The former has generated cost-effective scenarios with the minimum number of experimental design, and the latter has provided the efficiency of each scenario enabling to obtain a unique weight for each decision-making unit (DMU) using aggressive and benevolent models as well as a general representation of the human perception toward risks arising from uncertain information, leading to determine the optimal scenario. The proposed approach has been implemented in an automotive industrial plant in Iran, and the results have shown that this approach, compared with previous studies, is a practical way for online monitoring and optimizing the paint shop. <\/jats:p>","DOI":"10.1142\/s0219622021500462","type":"journal-article","created":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T12:44:47Z","timestamp":1626007487000},"page":"1657-1684","source":"Crossref","is-referenced-by-count":3,"title":["Online Simulation Optimization Using Neutrosophic Cross-Efficiency DEA and Box\u2013Behnken Experimental Design (A Case Study on the Automotive Paint Shop)"],"prefix":"10.1142","volume":"20","author":[{"given":"Nafiseh","family":"Monazzam","sequence":"first","affiliation":[{"name":"Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1737-1823","authenticated-orcid":false,"given":"Alireza","family":"Alinezhad","sequence":"additional","affiliation":[{"name":"Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hossein","family":"Malek","sequence":"additional","affiliation":[{"name":"Applied Science University, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,7,9]]},"reference":[{"key":"S0219622021500462BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2014.10.026"},{"key":"S0219622021500462BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.07.035"},{"key":"S0219622021500462BIB003","doi-asserted-by":"publisher","DOI":"10.3182\/20130619-3-RU-3018.00084"},{"key":"S0219622021500462BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.01.349"},{"key":"S0219622021500462BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.03.266"},{"key":"S0219622021500462BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2020.118800"},{"key":"S0219622021500462BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106958"},{"key":"S0219622021500462BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.12.077"},{"key":"S0219622021500462BIB009","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.010"},{"key":"S0219622021500462BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.125494"},{"key":"S0219622021500462BIB011","first-page":"38","volume-title":"2006 IEEE Int. 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