Titolo della tesi: An Impact Assessment Methodology Development for Transport Automation within the Concept of Logistics as a Service
This research study for "An Impact Assessment Methodology Development for Transport Automation within the Concept of Logistics as a Service" presents an advanced impact assessment methodology for assessing the impacts of transport automation on the field of logistics as a service context. This research aims to address the lack of a standardized and comprehensive methodology for evaluating the impacts of transport automation on logistics as a service, which is essential for decision-making processes.
The proposed automated logistics as a service impact assessment methodology consists of four main steps: defining the scope and boundaries of the analysis while having a literature review, identifying the impacts areas and performance indicators of transport automation on logistics as a service while addressing prioritization, a scenario definition and case study associations while having data collection approach, and evaluating of the impacts with three logistics assessment indexes. The study also presents a case study deployment of the proposed methodology in the context of simulation and automated vehicle presence in real-life application. Moreover, the research also provides a smart tool design for adaptation and integration of such a service into existing society.
The results of the case study show that the proposed methodology can provide valuable insights into the impacts of transport automation on logistics as a service, including the potential benefits and challenges. The findings indicate that transport automation can bring significant benefits in terms of cost savings while having time and distance saved, efficiency increase, but also raise stakeholder concerns about job displacement, social acceptance, and cybersecurity.
Overall, the research study provides a valuable contribution to the field of logistics and transport automation by proposing a new methodology for impact assessment, which can help decision-makers and stakeholders to make informed decisions regarding the implementation of transport automation in logistics as a service.