{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:43:39Z","timestamp":1777704219264,"version":"3.51.4"},"reference-count":52,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2020,1,30]],"date-time":"2020-01-30T00:00:00Z","timestamp":1580342400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,3,4]]},"abstract":"<jats:p>\u00a0Distributed scheduling has attracted much attention in multiple factories. However, uncertainties are often neglected in the previous works and this neglecting may result in the low value of the obtained schedule. In this study, fuzzy distributed scheduling is addressed in two-stage hybrid flow shop with sequence-dependent setup times(SDST) which is a frequently studied constraint in single factory and seldom handled in multiple factories. A collaborative variable search (CVS) is proposed to optimize total agreement index and fuzzy makespan simultaneously. Seven neighborhood structures and two global search operators are used in two cooperated variable search parts to generate high quality solutions. Experiments are conducted and the computational results reveal that CVS has promising advantages on the considered fuzzy distributed scheduling problem.<\/jats:p>","DOI":"10.3233\/jifs-191175","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T11:31:52Z","timestamp":1580470312000},"page":"3189-3199","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":33,"title":["Fuzzy distributed two-stage hybrid flow shop scheduling problem with setup time: collaborative variable search"],"prefix":"10.1177","volume":"38","author":[{"given":"Jingcao","family":"Cai","sequence":"first","affiliation":[{"name":"School of Automation, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Automation, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deming","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Automation, Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,1,30]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.09.024"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1988.63"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2004.09.034"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.10.015"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-017-0530-4"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2010.10.009"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.07.015"},{"key":"e_1_3_2_9_2","doi-asserted-by":"crossref","unstructured":"WangS. WangX. ChuF. and YuJ. An energy-efficient twostage hybrid flow shop scheduling problem in a glass production International Journal of Production Research (2019).","DOI":"10.1080\/00207543.2019.1624857"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0903-3"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1304661"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2016.1162341"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1035815"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.12.003"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.847983"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2014.880805"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-013-5375-1"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1080\/07408170208928913"},{"key":"e_1_3_2_19_2","doi-asserted-by":"crossref","unstructured":"LeiD.M. YuanY. CaiJ.C. and BaiD.Y. An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling International Journal of Production Research (2019) in press.","DOI":"10.1080\/00207543.2019.1598596"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10601-005-2812-2"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1060.0280"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2011.03.017"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.07.020"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2013.11.017"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.790571"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.05.024"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2013.05.004"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2732738"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2016.07.027"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1401241"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1084063"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2017.04.007"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.032"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917273"},{"issue":"2","key":"e_1_3_2_35_2","first-page":"107","article-title":"Parallel machine scheduling problems with fuzzy processing time and fuzzy duedate: An application in an engine valve manufacturing process","volume":"15","author":"Engin O.","year":"2009","unstructured":"EnginO. and GozenS., Parallel machine scheduling problems with fuzzy processing time and fuzzy duedate: An application in an engine valve manufacturing process, Journal of Multiple-Valued Logic and Soft Computing 15(2\u20133) (2009), 107\u2013123.","journal-title":"Journal of Multiple-Valued Logic and Soft Computing"},{"key":"e_1_3_2_36_2","doi-asserted-by":"crossref","unstructured":"EnginO. KahramanC. and YilmazM.K. Computational intelligence in flow shop and job shop scheduling A scatter search method for multiobjective fuzzy permutation flow shop scheduling problem: A real world application Vol. 230 Springer Berlin Heidelberg 2009.","DOI":"10.1007\/978-3-642-02836-6_6"},{"issue":"6","key":"e_1_3_2_37_2","first-page":"1935","article-title":"Two-machine fuzzy flow shop scheduling using black hHole algorithm","volume":"13","author":"Jeet K.","year":"2017","unstructured":"JeetK., SharmaS. and NailwalK.K., Two-machine fuzzy flow shop scheduling using black hHole algorithm, Global Journal of Pure and Applied Mathematics 13(6) (2017), 1935\u20131946.","journal-title":"Global Journal of Pure and Applied Mathematics"},{"issue":"3","key":"e_1_3_2_38_2","first-page":"236","article-title":"A new artificial immune system algorithm for multiobjective fuzzy flow shop problems","volume":"2","author":"Kahraman C.","year":"2009","unstructured":"KahramanC., EnginO. and YilmazM.K., A new artificial immune system algorithm for multiobjective fuzzy flow shop problems, International Journal of Computational Intelligence Systems 2(3) (2009), 236\u2013247.","journal-title":"International Journal of Computational Intelligence Systems"},{"issue":"2","key":"e_1_3_2_39_2","first-page":"115","article-title":"Minimization of work-in-process inventory in hybrid flow shop scheduling using fuzzy logic","volume":"17","author":"Paul S.K.","year":"2010","unstructured":"PaulS.K. and AzeemA., Minimization of work-in-process inventory in hybrid flow shop scheduling using fuzzy logic, International Journal of Industrial Engineering-Theory Applications and Practice 17(2) (2010), 115\u2013127.","journal-title":"International Journal of Industrial Engineering-Theory Applications and Practice"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1177\/1687814019843699"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0483(98)00042-5"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-5273(03)00011-2"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2011.08.013"},{"key":"e_1_3_2_44_2","doi-asserted-by":"crossref","unstructured":"LeeG.C. HongJ.M. and ChoiS.H. Efficient heuristic algorithm for scheduling two-stage hybrid flowshop with sequencedependent setup times Mathematical Problems in Engineering (2015).","DOI":"10.1155\/2015\/420308"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.847983"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2010.01.002"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207540902814348"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-009-2379-y"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.03.025"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-007-0945-8"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2016.06.002"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2796119"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-191175","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-191175","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-191175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:40:43Z","timestamp":1777455643000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-191175"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,30]]},"references-count":52,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,3,4]]}},"alternative-id":["10.3233\/JIFS-191175"],"URL":"https:\/\/doi.org\/10.3233\/jifs-191175","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,30]]}}}