Libiao Bai , Tiantian Tang , Yichen Sun , Xiaoyan Xie , Chenshuo Wang
{"title":"动态异构项目组合网络中的资源风险传播建模","authors":"Libiao Bai , Tiantian Tang , Yichen Sun , Xiaoyan Xie , Chenshuo Wang","doi":"10.1016/j.cie.2024.110683","DOIUrl":null,"url":null,"abstract":"<div><div>Project portfolio (PP) exists resource risk that propagates because of the relationships among projects arising from resource sharing. While earlier research has highlighted the necessity to control PP resource risk (PPRR) propagation, research that can provide an in-depth analysis of PPRR propagation remains lacking. This paper proposes a PPRR propagation model to bridge this gap by applying the SIR model to PP network (PPN). In the PPRR propagation model, the dynamics and heterogeneity that PPN is characterized are analyzed, following which the dynamic heterogeneous PPN is visualized. Then, the susceptible-infected-removed (SIR) model is improved considering the dynamics and heterogeneity of PPN. Thereafter, the applicability of the PPRR propagation model is verified by a numerical example. This paper enriches theories related to PPRR management and infectious disease model. Meanwhile, utilizing the PPRR propagation model, control measures for PPRR propagation from the perspectives of infection source and immunization strategy can be obtained.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110683"},"PeriodicalIF":6.7000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling for resource risk propagation in dynamic heterogeneous project portfolio network\",\"authors\":\"Libiao Bai , Tiantian Tang , Yichen Sun , Xiaoyan Xie , Chenshuo Wang\",\"doi\":\"10.1016/j.cie.2024.110683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Project portfolio (PP) exists resource risk that propagates because of the relationships among projects arising from resource sharing. While earlier research has highlighted the necessity to control PP resource risk (PPRR) propagation, research that can provide an in-depth analysis of PPRR propagation remains lacking. This paper proposes a PPRR propagation model to bridge this gap by applying the SIR model to PP network (PPN). In the PPRR propagation model, the dynamics and heterogeneity that PPN is characterized are analyzed, following which the dynamic heterogeneous PPN is visualized. Then, the susceptible-infected-removed (SIR) model is improved considering the dynamics and heterogeneity of PPN. Thereafter, the applicability of the PPRR propagation model is verified by a numerical example. This paper enriches theories related to PPRR management and infectious disease model. Meanwhile, utilizing the PPRR propagation model, control measures for PPRR propagation from the perspectives of infection source and immunization strategy can be obtained.</div></div>\",\"PeriodicalId\":55220,\"journal\":{\"name\":\"Computers & Industrial Engineering\",\"volume\":\"198 \",\"pages\":\"Article 110683\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Industrial Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360835224008052\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835224008052","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Modelling for resource risk propagation in dynamic heterogeneous project portfolio network
Project portfolio (PP) exists resource risk that propagates because of the relationships among projects arising from resource sharing. While earlier research has highlighted the necessity to control PP resource risk (PPRR) propagation, research that can provide an in-depth analysis of PPRR propagation remains lacking. This paper proposes a PPRR propagation model to bridge this gap by applying the SIR model to PP network (PPN). In the PPRR propagation model, the dynamics and heterogeneity that PPN is characterized are analyzed, following which the dynamic heterogeneous PPN is visualized. Then, the susceptible-infected-removed (SIR) model is improved considering the dynamics and heterogeneity of PPN. Thereafter, the applicability of the PPRR propagation model is verified by a numerical example. This paper enriches theories related to PPRR management and infectious disease model. Meanwhile, utilizing the PPRR propagation model, control measures for PPRR propagation from the perspectives of infection source and immunization strategy can be obtained.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.