{"title":"复杂系统集成原理的定量验证","authors":"Joshua Logan Grumbach, L. Thomas","doi":"10.1002/sys.21641","DOIUrl":null,"url":null,"abstract":"The integration of complex systems is an important aspect of systems engineering. Previous research derived six integration principles and qualitatively validated four of them using a data set of 14 systems. Of the two non‐validated principles, one was determined to be confounded with two of the four validated principles and is hence not considered in this research. This paper describes the quantitative validation of the resulting five integration principles based on an expanded data set of 52 systems. This expanded data set is analyzed statistically, and the interactions between integration principles are also evaluated. This research quantitatively validates four of the five integration principles and identifies three principle interactions that are significantly related to integration success, solidifying validity of the principles, and identifying three cases where the principles interact that must be further explored.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"26 1","pages":"32 - 47"},"PeriodicalIF":1.6000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Quantitative validation of complex systems integration principles\",\"authors\":\"Joshua Logan Grumbach, L. Thomas\",\"doi\":\"10.1002/sys.21641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The integration of complex systems is an important aspect of systems engineering. Previous research derived six integration principles and qualitatively validated four of them using a data set of 14 systems. Of the two non‐validated principles, one was determined to be confounded with two of the four validated principles and is hence not considered in this research. This paper describes the quantitative validation of the resulting five integration principles based on an expanded data set of 52 systems. This expanded data set is analyzed statistically, and the interactions between integration principles are also evaluated. This research quantitatively validates four of the five integration principles and identifies three principle interactions that are significantly related to integration success, solidifying validity of the principles, and identifying three cases where the principles interact that must be further explored.\",\"PeriodicalId\":54439,\"journal\":{\"name\":\"Systems Engineering\",\"volume\":\"26 1\",\"pages\":\"32 - 47\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/sys.21641\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/sys.21641","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Quantitative validation of complex systems integration principles
The integration of complex systems is an important aspect of systems engineering. Previous research derived six integration principles and qualitatively validated four of them using a data set of 14 systems. Of the two non‐validated principles, one was determined to be confounded with two of the four validated principles and is hence not considered in this research. This paper describes the quantitative validation of the resulting five integration principles based on an expanded data set of 52 systems. This expanded data set is analyzed statistically, and the interactions between integration principles are also evaluated. This research quantitatively validates four of the five integration principles and identifies three principle interactions that are significantly related to integration success, solidifying validity of the principles, and identifying three cases where the principles interact that must be further explored.
期刊介绍：
Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle.
Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.
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