Recovery actions in freight transport through real-time disruption management
Two cases of real-time disruption management have been investigated in this thesis, in three different studies. Each study examined different aspects regarding detection of disruptions, of what is detected, how it is detected and where in the transport system it is detected, influence on the initiation of real-time disruption management. The results from the performed studies point towards the importance of that detecting different objects of a disruption, which is further influenced by how and where in the system the detection is made. Furthermore, these insights into the detection phase are connected to the other phases for real-time disruption management, prediction and action, in order to state the possibilities of generating proactive recovery actions.
In contrast to the developed literature of strategic recovery strategies, this thesis establishes a detailed description of the viewpoint of real-time management of disruptions. As the identified objects for detection in this research are shown to be represented by different information, it is valuable for the development of disruption management to match future autonomous parts of the transport system and develop decision support systems accordingly. Furthermore, the research contributes with two dimensions in which recovery actions can be viewed as proactive. This is generated either with real-time disruption management performed after impact but before impact on the transport system or after the impact on transport system but before impact on upcoming operations. The practical contribution includes concepts revolving around real-time disruption management, which can be used for an outline for needed information in order to generate possibilities for proactive recovery actions.
proactive recovery actions
Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics
Transportteknik och logistik
Licentiate thesis, report - Department of Technology of Management and Economics, Chalmers University of Technology: L2019:111
Chalmers tekniska högskola
Room Korsvägen (2456), Vera Sandbergs allé 8
Opponent: Joakim Kembro, Department of Industrial Management and Logistics, Lund University, Sweden