Doctoral project: Realising smarter organization by developing Digital Twin of the Organization
A Digital Twin of an Organization (DTO) as a software component proposes a live model of an organization. It can play a key role in realizing and analyzing various aspects of organizations, assisting managers with the knowledge of the organization's status, and foreseeing possible effects of potential changes in the organization.
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 group Engineering Resilient Systems (EReS)
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.