Max Layer, J. Leidich, Sebastian Schwoch, Bernhard Saske, S. Neubert, Peter Robl, Kristin Paetzold-Byhain
{"title":"作为复杂系统的过程工厂的数据管理:系统的文献回顾和挑战与机遇的识别","authors":"Max Layer, J. Leidich, Sebastian Schwoch, Bernhard Saske, S. Neubert, Peter Robl, Kristin Paetzold-Byhain","doi":"10.1515/revce-2022-0077","DOIUrl":null,"url":null,"abstract":"Abstract Led by the manufacturing industry, virtual replicas of production systems also known as digital twins (DTs) are gradually moving into all areas of industry. Their advantages are characterized by the possibility of product optimization, simulations, improved monitoring and prediction of downtimes and optimized maintenance, to name just a few. The engineering, procurement and construction (EPC) of process plants as mechatronic systems is characterized by a high degree of project-specific modifications and interdisciplinary engineering effort with low reusability, in contrast to unit-production-driven areas such as automotive. This results in a high cost-benefit ratio for the creation of DTs over the life cycle of process plants, especially when suppliers are integrated into the value chain. The objective of this paper is to analyze the state of plant lifecycle management, data exchange and the possibilities of optimized supplier integration during the planning and EPC of process plants regarding DT creation and usage. Three research questions (RQs) were used to narrow down a total of 356 identified publications to 54, which were then examined. The papers covered a variety of topics, including combining discipline-specific models, plant management approaches and the combination of both.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data management of process plants as complex systems: systematic literature review and identification of challenges and opportunities\",\"authors\":\"Max Layer, J. Leidich, Sebastian Schwoch, Bernhard Saske, S. Neubert, Peter Robl, Kristin Paetzold-Byhain\",\"doi\":\"10.1515/revce-2022-0077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Led by the manufacturing industry, virtual replicas of production systems also known as digital twins (DTs) are gradually moving into all areas of industry. Their advantages are characterized by the possibility of product optimization, simulations, improved monitoring and prediction of downtimes and optimized maintenance, to name just a few. The engineering, procurement and construction (EPC) of process plants as mechatronic systems is characterized by a high degree of project-specific modifications and interdisciplinary engineering effort with low reusability, in contrast to unit-production-driven areas such as automotive. This results in a high cost-benefit ratio for the creation of DTs over the life cycle of process plants, especially when suppliers are integrated into the value chain. The objective of this paper is to analyze the state of plant lifecycle management, data exchange and the possibilities of optimized supplier integration during the planning and EPC of process plants regarding DT creation and usage. Three research questions (RQs) were used to narrow down a total of 356 identified publications to 54, which were then examined. The papers covered a variety of topics, including combining discipline-specific models, plant management approaches and the combination of both.\",\"PeriodicalId\":54485,\"journal\":{\"name\":\"Reviews in Chemical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2023-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reviews in Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1515/revce-2022-0077\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reviews in Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1515/revce-2022-0077","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Data management of process plants as complex systems: systematic literature review and identification of challenges and opportunities
Abstract Led by the manufacturing industry, virtual replicas of production systems also known as digital twins (DTs) are gradually moving into all areas of industry. Their advantages are characterized by the possibility of product optimization, simulations, improved monitoring and prediction of downtimes and optimized maintenance, to name just a few. The engineering, procurement and construction (EPC) of process plants as mechatronic systems is characterized by a high degree of project-specific modifications and interdisciplinary engineering effort with low reusability, in contrast to unit-production-driven areas such as automotive. This results in a high cost-benefit ratio for the creation of DTs over the life cycle of process plants, especially when suppliers are integrated into the value chain. The objective of this paper is to analyze the state of plant lifecycle management, data exchange and the possibilities of optimized supplier integration during the planning and EPC of process plants regarding DT creation and usage. Three research questions (RQs) were used to narrow down a total of 356 identified publications to 54, which were then examined. The papers covered a variety of topics, including combining discipline-specific models, plant management approaches and the combination of both.
期刊介绍:
Reviews in Chemical Engineering publishes authoritative review articles on all aspects of the broad field of chemical engineering and applied chemistry. Its aim is to develop new insights and understanding and to promote interest and research activity in chemical engineering, as well as the application of new developments in these areas. The bimonthly journal publishes peer-reviewed articles by leading chemical engineers, applied scientists and mathematicians. The broad interest today in solutions through chemistry to some of the world’s most challenging problems ensures that Reviews in Chemical Engineering will play a significant role in the growth of the field as a whole.