{"title":"面向未来的生产调度和控制","authors":"Marcello Urgo (2) , Gisela Lanza (1) , Rok Vrabič (2) , Dávid Gyulai","doi":"10.1016/j.cirp.2025.04.095","DOIUrl":null,"url":null,"abstract":"<div><div>Traditional production scheduling and control are increasingly inadequate in light of the rapid evolution of manufacturing technology, the growing impact of unforeseen disruptions, and the generally increasing complexity of production. A framework for future-proof production scheduling and control is introduced to close this gap, providing a comprehensive overview of future requirements and the necessary technologies and approaches. Robust decision criteria are derived, explained and filled with major recent advances in production scheduling and control, digital twins, artificial intelligence, and knowledge formalisation. Emerging trends are discussed, and an outlook for future research and decision-making is derived.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 2","pages":"Pages 971-991"},"PeriodicalIF":3.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future-Proof Production Scheduling and Control\",\"authors\":\"Marcello Urgo (2) , Gisela Lanza (1) , Rok Vrabič (2) , Dávid Gyulai\",\"doi\":\"10.1016/j.cirp.2025.04.095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Traditional production scheduling and control are increasingly inadequate in light of the rapid evolution of manufacturing technology, the growing impact of unforeseen disruptions, and the generally increasing complexity of production. A framework for future-proof production scheduling and control is introduced to close this gap, providing a comprehensive overview of future requirements and the necessary technologies and approaches. Robust decision criteria are derived, explained and filled with major recent advances in production scheduling and control, digital twins, artificial intelligence, and knowledge formalisation. Emerging trends are discussed, and an outlook for future research and decision-making is derived.</div></div>\",\"PeriodicalId\":55256,\"journal\":{\"name\":\"Cirp Annals-Manufacturing Technology\",\"volume\":\"74 2\",\"pages\":\"Pages 971-991\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cirp Annals-Manufacturing Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0007850625001428\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirp Annals-Manufacturing Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007850625001428","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Traditional production scheduling and control are increasingly inadequate in light of the rapid evolution of manufacturing technology, the growing impact of unforeseen disruptions, and the generally increasing complexity of production. A framework for future-proof production scheduling and control is introduced to close this gap, providing a comprehensive overview of future requirements and the necessary technologies and approaches. Robust decision criteria are derived, explained and filled with major recent advances in production scheduling and control, digital twins, artificial intelligence, and knowledge formalisation. Emerging trends are discussed, and an outlook for future research and decision-making is derived.
期刊介绍:
CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems.
This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include:
Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.