{"title":"Digital twins in product-service lifecycles: a framework proposal for enhancing competitiveness and sustainability in manufacturing business","authors":"Mira Timperi, Kirsi Kokkonen, Lea Hannola","doi":"10.1080/0951192x.2023.2264814","DOIUrl":null,"url":null,"abstract":"Manufacturing companies have shifted their interest toward comprehensive solutions and novel digital technologies. These technologies, such as digital twins (DTs), have enabled new business opportunities for various actors throughout product and service lifecycles, from initial drafts to disposal or reuse. However, the concreteness of these opportunities in terms of competitiveness and sustainable business still requires further study. Thus, this article examines the possibilities of data-based business and DT-enabled solutions in the manufacturing business along all stages of product-service lifecycles. The research method of this study was qualitative; it included semi-structured thematic interviews with manufacturing industry professionals. The study obtained extensive results: DT-based lifecycle solutions can provide competitiveness and sustainable value in several ways by contributing from design to usage optimization and renewal of solutions. The study also helps to understand the potential of the end of a lifecycle, as it encourages companies to assess the value of the data-based business and DT-enabled solutions throughout the entire lifecycle of a product. As a main contribution, the results inspired an updated product – service lifecycle management framework. Manufacturing companies can use this study to evaluate and recognize new business opportunities and to find ways to enhance the competitiveness and sustainability of their operations.","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":"55 1","pages":"0"},"PeriodicalIF":3.7000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Integrated Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/0951192x.2023.2264814","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Manufacturing companies have shifted their interest toward comprehensive solutions and novel digital technologies. These technologies, such as digital twins (DTs), have enabled new business opportunities for various actors throughout product and service lifecycles, from initial drafts to disposal or reuse. However, the concreteness of these opportunities in terms of competitiveness and sustainable business still requires further study. Thus, this article examines the possibilities of data-based business and DT-enabled solutions in the manufacturing business along all stages of product-service lifecycles. The research method of this study was qualitative; it included semi-structured thematic interviews with manufacturing industry professionals. The study obtained extensive results: DT-based lifecycle solutions can provide competitiveness and sustainable value in several ways by contributing from design to usage optimization and renewal of solutions. The study also helps to understand the potential of the end of a lifecycle, as it encourages companies to assess the value of the data-based business and DT-enabled solutions throughout the entire lifecycle of a product. As a main contribution, the results inspired an updated product – service lifecycle management framework. Manufacturing companies can use this study to evaluate and recognize new business opportunities and to find ways to enhance the competitiveness and sustainability of their operations.
期刊介绍:
International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years.
IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.