|Ph.D Student||Emad Faraj|
|Subject||Managing Risk Dormancy in Multi-Team Work: Application|
of Time-Dependent Success-and-Safety Assurance
|Department||Department of Industrial Engineering and Management||Supervisors||Professor Emeritus Zohar Dov|
|Professor Ingman Dov|
|Full Thesis text|
The success and safety of many of to-day’s industrial activities, such as, e.g., constructing power plants, transmission lines, and civil engineering objects, is often influenced by situations, when successful and safe work completion is associated with the implementation of various more or less complex multi-team layouts. Multi-team (MT) effort is characterized by the presence and interaction of numerous, not necessarily concurrent time-and-space constrained interfering activities, as well as by dormant risks. Such risks might threaten the fulfillment of the general task carried out by the main team and/or by other teams on the construction site. This analysis addresses the role of the dormant risks during the fulfillment of a non-simultaneous multi-team work. The objective of the analysis is to suggest an effective and physically meaningful probabilistic predictive model. The model is aimed at the understanding, quantification and effective managing the dynamics of the system of interest. The emphasis is on the role of possible dormancies. However, MT work is characterized by multiple teams acting to produce a specific outcome over time which could be accomplished, only, by team replacement (TR).
TR is a crucial interface moment between teams, therefore, successful TR encompass a set of risk evaluation procedures such as hazard identification, alert from each other's hazardous activities etc. to avoid accidents. In addition, this study emphasizes the TR event importance as a point of risk evaluation and detection and addresses its effect on RD. This analysis reveals on finding a new probabilistic model that fits the role of TR over RD range. Hence, the model stress the ability to manage the RD with regard to TR as an extension of the authors' last research in the problem of multi-team risk dormancy (MTRD) approach.
The study is an extension of the authors' earlier research on spatial and time dimensions in the addressed problem. The study extends the risk management approach to a holistic level.