Article(id=1282037390659272777, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.12.1724, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1752940800000, receivedDateStr=2025-07-20, revisedDate=1760025600000, revisedDateStr=2025-10-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783591133036, onlineDateStr=2026-07-09, pubDate=1766851200000, pubDateStr=2025-12-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783591133036, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783591133036, creator=13701087609, updateTime=1783591133036, updator=13701087609, issue=Issue{id=1282037390130790473, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='12', pageStart='1', pageEnd='259', issueExtLink='null', onlineDate='null', pubDate='1766851200000', pubDateStr='2025-12-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783591132910, creator='13701087609', updateTime=1783593783109, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048505929777979, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048505929777980, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=8, endPage=17, ext={EN=ArticleExt(id=1282037390873182282, articleId=1282037390659272777, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Study on work safety job shop scheduling considering worker boredom perception, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=

To achieve safe and efficient work in job shops, this paper proposed a BP-DRFJSP model that considers workers' boredom perception. First, the impact of boredom arising from repetitive tasks on work efficiency and work safety accident risks was analyzed. A mathematical model was developed to quantify this impact, and a scheduling model was established with the optimization objectives of minimizing makespan and production safety risks. Then, a MO-FTTA was designed to solve the model. Finally, comparative experiments and a case study involving MO-FTTA and three other common algorithms were conducted to verify the performance and feasibility of the proposed approach. The results show that when solving BP-DRFJSP model, MO-FTTA achieves better hypervolume (HV) and inverted generational distance (IGD) in 95% of the test instances, with C-metric values close to 1. Moreover, it yields superior objective function values in 90% of the instances compared to other algorithms. In the case study, MO-FTTA reduces the makespan to 79.635 minutes and lowers work safety risk by 1.25%, demonstrating its effectiveness in enhancing production efficiency while mitigating safety risks, thereby supporting safe and efficient workshop operations.

, authors=Chen GUO^{1, 2}, Chengsen WU^{1, 2}, Xianyue LI^{**, 3}, authorsList=Chen GUO, Chengsen WU, Xianyue LI, authorCompany=null, correspAuthors=Xianyue LI, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282037391263252555, articleId=1282037390659272777, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑工人无聊感知的作业车间安全生产调度研究, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为实现作业车间的安全高效生产，提出一种考虑工人无聊感知的双资源柔性作业车间调度问题（BP-DRFJSP）模型。首先，分析工人重复性作业中所产生的无聊感对工作效率与生产安全事故风险的影响，构建量化该影响的数学模型，并以最大完工时间和生产安全事故风险为优化目标建立调度模型；然后，通过设计多目标足球队训练算法（MO-FTTA）求解该模型；最后，通过MO-FTTA与其他3种常见算法进行对比试验与实例分析，验证该算法的性能与可行性。结果表明：使用MO-FTTA求解BP-DRFJSP模型时，在95%的算例中均能获得更优的超体积（HV）与反转世代距离（IGD），且C值均接近于1，同时，90%算例的目标函数值优于其他对比算法；实例验证中，MO-FTTA将最大完工时间缩短为79.635 min，并使安全生产事故风险降低1.25%，能够在有效提升生产效率的同时降低生产安全事故风险，实现车间的安全高效生产。

, authors=郭晨副教授^{1, 2}, 吴成森^{1, 2}, 李仙乐^{**, 3}, authorsList=郭晨副教授, 吴成森, 李仙乐, authorCompany=null, correspAuthors=李仙乐, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=RkIV7ZgnyHB7a3LLqEvovw==, magXml=E2RBwNuxUyD5+itgu7DiIw==, pdfUrl=null, pdf=llLpC/4XRSrKiHWROweBpQ==, pdfFileSize=5047994, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=yHBVqN/f7U8pUe945vIWSA==, mapNumber=null, fund=null)}, authors=[Author(id=1282037391787540566, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037390659272777, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=guochen2016@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282037391888203865, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037390659272777, authorId=1282037391787540566, language=EN, stringName=Chen GUO, firstName=Chen, middleName=null, lastName=GUO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
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²武汉理工大学 中国应急管理研究中心，湖北 武汉 430070, bio={"content":"

郭晨（1989—），女，湖北武汉人，博士，副教授，主要从事安全生产等方面的研究。E-mail: guochen2016@126.com。

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郭晨（1989—），女，湖北武汉人，博士，副教授，主要从事安全生产等方面的研究。E-mail: guochen2016@126.com。

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