{"title":"Controlling and Optimization of On-time Delivery for Assemble-to-order Production System","authors":"Venkata Krishna Rao Pabolu , Divya Shrivastava , Makarand S. Kulkarni","doi":"10.1016/j.ifacol.2024.05.028","DOIUrl":null,"url":null,"abstract":"<div><p>Meeting the delivery commitments is important for the success of any business. On the other hand, balancing other resources is also essential for business sustainability. This work provides a conceptual framework to make an optimization model to optimize the on-time delivery (OTD) for an Assemble-to-order (ATO) Production System. OTD optimization model is given by considering the delivery penalty, overtime working, manpower cost, and production item set-up time. The proposed model is helpful while making the daily production plan and work schedule of a multi-model assembly line. Furthermore, the optimization model is a integration of prediction and assembly line optimization models. Learning-based techniques are adopted to make the prediction model. Assembly line worker assignment and workload balancing algorithms are adopted to optimize the workforce or manpower cost. A use case illustration is given to understand the research scope better.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405896324000284/pdf?md5=4af33fdd036598cdd093e40baaf0b0cb&pid=1-s2.0-S2405896324000284-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC-PapersOnLine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405896324000284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Meeting the delivery commitments is important for the success of any business. On the other hand, balancing other resources is also essential for business sustainability. This work provides a conceptual framework to make an optimization model to optimize the on-time delivery (OTD) for an Assemble-to-order (ATO) Production System. OTD optimization model is given by considering the delivery penalty, overtime working, manpower cost, and production item set-up time. The proposed model is helpful while making the daily production plan and work schedule of a multi-model assembly line. Furthermore, the optimization model is a integration of prediction and assembly line optimization models. Learning-based techniques are adopted to make the prediction model. Assembly line worker assignment and workload balancing algorithms are adopted to optimize the workforce or manpower cost. A use case illustration is given to understand the research scope better.
期刊介绍:
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.