Oliver Schiffmann , James Gopsill , Max Ridley , Maria Valero
{"title":"Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems","authors":"Oliver Schiffmann , James Gopsill , Max Ridley , Maria Valero","doi":"10.1016/j.procir.2025.02.161","DOIUrl":null,"url":null,"abstract":"<div><div>This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 573-578"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia CIRP","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212827125005463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.