{"title":"随机批量流和调度问题的精确算法和基于机器学习的启发式算法","authors":"Ran Liu, Chengkai Wang, Huiyin Ouyang, Zerui Wu","doi":"10.1080/24725854.2023.2294816","DOIUrl":null,"url":null,"abstract":"This paper presents a probabilistic variant of the classic lot streaming and scheduling problem (LSSP), in which the arrival times of products are stochastic. The LSSP involves a multi-product lot ...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":"9 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exact Algorithm and Machine Learning-Based Heuristic for the Stochastic Lot Streaming and Scheduling Problem\",\"authors\":\"Ran Liu, Chengkai Wang, Huiyin Ouyang, Zerui Wu\",\"doi\":\"10.1080/24725854.2023.2294816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a probabilistic variant of the classic lot streaming and scheduling problem (LSSP), in which the arrival times of products are stochastic. The LSSP involves a multi-product lot ...\",\"PeriodicalId\":56039,\"journal\":{\"name\":\"IISE Transactions\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IISE Transactions\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/24725854.2023.2294816\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE Transactions","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/24725854.2023.2294816","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Exact Algorithm and Machine Learning-Based Heuristic for the Stochastic Lot Streaming and Scheduling Problem
This paper presents a probabilistic variant of the classic lot streaming and scheduling problem (LSSP), in which the arrival times of products are stochastic. The LSSP involves a multi-product lot ...
IISE TransactionsEngineering-Industrial and Manufacturing Engineering
CiteScore
5.70
自引率
7.70%
发文量
93
期刊介绍:
IISE Transactions is currently abstracted/indexed in the following services: CSA/ASCE Civil Engineering Abstracts; CSA-Computer & Information Systems Abstracts; CSA-Corrosion Abstracts; CSA-Electronics & Communications Abstracts; CSA-Engineered Materials Abstracts; CSA-Materials Research Database with METADEX; CSA-Mechanical & Transportation Engineering Abstracts; CSA-Solid State & Superconductivity Abstracts; INSPEC Information Services and Science Citation Index.
Institute of Industrial and Systems Engineers and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Institute of Industrial and Systems Engineers and our publisher Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Institute of Industrial and Systems Engineers and our publisher Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Institute of Industrial and Systems Engineers and our publisher Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .