When: Monday, June 3rd 1000-1200
Where: Onsite D1172 (Linnaeus University)<\/p>\n\n\n\n
You are welcome to attend Farid\u2019s seminar and the follow-up discussion with Prof. Welf L\u00f6we (Examiner).<\/p>\n\n\n\n
Title: Realizing Smarter Organizations through Digital Twin of the Organization Approach<\/strong><\/p>\n\n\n\n Abstract:<\/strong> When: Monday, June 3rd 1000-1200Where: Onsite D1172 (Linnaeus University) You are welcome to attend Farid\u2019s seminar and the follow-up discussion with Prof. Welf L\u00f6we (Examiner). Title: Realizing Smarter Organizations through Digital Twin of the Organization Approach Abstract:To survive and remain competitive in today\u2019s dynamic, uncertain, and constantly changing environment, organizations must alter their traditional business […]<\/p>\n","protected":false},"author":401,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[93],"tags":[],"class_list":["post-637","post","type-post","status-publish","format-standard","hentry","category-blogg"],"acf":[],"yoast_head":"\r\n
To survive and remain competitive in today\u2019s dynamic, uncertain, and constantly changing environment, organizations must alter their traditional business software solution and be smarter. A smarter organization needs smarter machinery systems. These systems can be categorized into four levels of smartness based on their ability to adapt at runtime. Self-adaptive systems (SAS), enabling run-time adaptation, play a crucial role in achieving different levels of system smartness where they autonomously adjust their behavior in response to changes in the environment, system conditions, or system goals. Although various waves of research on engineering SAS pave the way toward smarter systems, several issues like changing adaptation goals at run time, keeping run time models up-to-date, complex nature of uncertainty, etc. have remained open, yet. To overcome these issues, our solution is adding a digital twin as an additional specialized component to modify the managing system of SAS over time.
Despite the contribution of smarter systems to the efficiency and effectiveness of an organization, it is not the ultimate goal of smarter organizations. Becoming a smarter organization requires a holistic approach considering smart machinery systems, processes, people, culture, and strategy. Therefore, developing methodologies to facilitate managing, controlling, and evolving the organization as well as dealing with its complexity is crucial. Digital Twin of the Organization (DTO) provides a suitable basis for continuous assessment, optimization, and prediction by representing all the organizational system elements and connections in virtual models and through perpetual simulation and analysis. However, creating a flexible and evolvable DTO that covers and supports the organization\u2019s business strategies is a complex and time-consuming task that requires engineering best practices. As our proposal, EA Blueprint Pattern serves as an architectural reference for the development and evolution of a DTO by allowing for mapping well-known Enterprise Architecture concepts into software components defining the DTO software architecture.<\/p>\n","protected":false},"excerpt":{"rendered":"