Article(id=1242139872106983551, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139858899116689, articleNumber=null, orderNo=9, doi=10.3981/j.issn.1000-7857.2022.09.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1626192000000, receivedDateStr=2021-07-14, revisedDate=1645891200000, revisedDateStr=2022-02-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1658310073877, onlineDateStr=2022-07-20, pubDate=1652371200000, pubDateStr=2022-05-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1658310073877, onlineIssueDateStr=2022-07-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078823349, creator=sys-migrate, updateTime=1774078823349, updator=sys-migrate, issue=Issue{id=1242139858899116689, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='9', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1652371200000', pubDateStr='2022-05-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078820200, creator='sys-migrate', updateTime=1774078820200, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=60, endPage=66, ext={EN=ArticleExt(id=1242139875152044777, articleId=1242139872106983551, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Study on the optimization of transportation path of fresh materials under COVID-19 epidemic, columnId=1242139869745586885, journalTitle=Science & Technology Review, columnName=Exclusive: Post-pandemic Era, runingTitle=null, highlight=null, articleAbstract=Under the background of COVID-19 epidemic, the domestic quarantine policy has led to a surge in demand for fresh supplies in the community. The insufficiency of resuming work has led to the limited distribution capacity of fresh food enterprises, and the transportation of fresh materials has faced more challenges. Based on the distribution time limit of fresh food enterprises, considering the preservation time of fresh supplies and the protection time of epidemic prevention supplies, this paper takes the community where consumers are located as the demand point and builds up an optimization model for the transportation path of fresh supplies under the background of pandemic. According to the model, a genetic algorithm is designed to solve the problem quickly. On the premise of completing the distribution task, an optimal transportation plan is obtained so as to minimize the enterprise's distribution cost. At the same time, changes of the number of vehicles required under different demand conditions are analyzed and it is shown that the number of vehicles required does not increase with the demand., authors=ZHANG Shouhao^1,2, HAN Wei³, LI Wenwen^1,2, LIU Guojia^2,4, CHEN An¹, authorsList=ZHANG Shouhao, HAN Wei, LI Wenwen, LIU Guojia, CHEN An, authorCompany=1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Development Strategy Research Center, China Electronics Technology Group Corporation, Beijing 100041, China;
4. School of Public Policy and Management, Chinese Academy of Sciences, Beijing 100049, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=wCAn3PTk/rKU779d//naEA==, pdfFileSize=2170448, 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=1242139873969251036, articleId=1242139872106983551, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=疫情防控背景下生鲜物资运输路径优化, columnId=1242139868659265648, journalTitle=科技导报, columnName=专题：后疫情时代, runingTitle=null, highlight=null, articleAbstract=疫情防控背景下，消费者居家隔离导致以小区为单位的生鲜物资需求激增，而复工不足导致生鲜企业配送能力有限，生鲜物资运输受到更多挑战。基于生鲜企业配送时间限制，考虑生鲜物资的保存时间与防疫用品的防护时间，以消费者所在小区为需求点，构建疫情背景下生鲜物资运输路径优化模型，并根据模型设计了一种遗传算法进行快速求解，在完成配送任务的前提下，得到最优运输方案，最小化企业配送成本。同时，分析了不同需求情况下所需车辆数的变化，计算结果表明所需车辆数并未随需求同倍增加。, authors=张首昊^1,2, 韩玮³, 李玟玟^1,2, 刘国佳^2,4, 陈安¹, authorsList=张首昊, 韩玮, 李玟玟, 刘国佳, 陈安, authorCompany=1. 中国科学院科技战略咨询研究院, 北京 100190;
2. 中国科学院大学, 北京 100049;
3. 中国电子科技集团公司发展战略研究中心, 北京 100041;
4. 中国科学院大学公共政策与管理学院, 北京 100049, correspAuthors=null, authorNote=张首昊,博士研究生,研究方向为安全与应急管理,电子信箱:zhangshouhao19@mails.ucas.ac.cn, correspAuthorsNote=陈安(通信作者),研究方向为现代应急管理、智库理论与方法,电子信箱:anchen@casisd.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=dvDPP/F9IGWnqZnK/4R3ig==, pdfFileSize=2170448, 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=国家社会科学基金重点项目（19AZD019）；国家语委“十三五”科研规划重点项目（ZDI135-119）)}, authors=null, keywords=[Keyword(id=1242139873554014933, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139872106983551, language=CN, orderNo=1, keyword=新冠疫情防控), Keyword(id=1242139873629512406, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139872106983551, language=CN, orderNo=1, 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