Project information
Doctoral student
Farid Edrisi
Supervisor
Mauro Caporuscio
Assistant supervisors
Diego Perez-Palacin
Participating organizations
Linnaeus University, Scania, Virtual Manufacturing
Financier
Grundutbilding, TVTC, Växjö kommun, and KK-Aladino.
Timetable
1 July 2021 - June 2026
Subject
Computer and information science (Department of Computer Science and Media Technology, Faculty of Technology)
Research groups
Engineering Resilient Systems (EReS) and Smart Industry Group (SIG)
More about the project
New industrial technologies and breakthroughs such as the Internet of Things (IoT), 5G Internet, Cyber-Physical Systems (CPS), and so on lay the groundwork for the construction of new organizations in which everything is connected and interacts with one another. Although these new technologies provide various benefits to industry, particularly in terms of monitoring, controlling, and managing processes, they also make the systems more complicated by introducing new challenges that did not exist, previously. One of these issues is 'Perpetual Change' which causes uncertainty in the organization. Organizations must alter their traditional business software solutions in order to survive and remain competitive in this dynamic, unpredictable, and constantly developing environment. Therefore, to respond quickly to unforeseen situations they must be smart.
A promising option for organizations to embrace smartness is to use the Digital Twin of the Organization (DTO) that gives an accurate digital replica of the organization. In addition to the conventional representation of devices, equipment, and physical assets, a DTO contains processes, services, people, roles, and all other important factors for the running of organizations. As a consequence, it would help business leaders improve the sustainability of their organizations by aiding them in making the best decisions possible through continual simulation, analysis, optimization, and evaluations. However, given today's ever-changing organizations, the process of establishing a DTO for full exploitation of its benefits has not been well-addressed and requires additional research. To this end, my Ph.D. thesis aims to apply engineering best practices to assist organizations to develop their DTO.
The doctoral project is performed within the research groups Smart Industry Group (SIG) and Engineering Resilient Systems (EReS)
