2 resultados para psychosocial Risk, job demand, job resources, stress at work

em AMS Tesi di Laurea - Alm@DL - Università di Bologna


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This dissertation discusses the professional figure of interpreters working for the International Criminal Tribunal for Rwanda (ICTR). The objective is to investigate specific job-related stress factors, particularly the psychological consequences interpreters may have to face, the so-called vicarious trauma. People working for the ICTR are exposed to genocide victims’ violent and shocking testimonies, a situation that could have negative psychological impacts. Online interviews with some interpreters working for the ICTR were carried out in order to arrive at a more thorough understanding of this topic. The study is divided into four chapters. Chapter I outlines the historical aspects of the simultaneous interpreting service in the legal field at the International Military Tribunal, in the trials of the Nazi leaders, and then it analyses a modern international criminal jurisdiction, the ICTR. Chapter II firstly discusses the differences between conference interpreting and court interpreting and in the second part it investigates job-related stress factors for interpreters, focusing on the legal field. Chapter III contains a detailed analysis of vicarious trauma: the main goal is to understand what psychological consequences interpreters have to cope with as a result of translating abused people’s accounts. Chapter IV examines the answers given by ICTR interpreters to the online interviews. The data collected from the interview was compared with the literature survey and the information derived from their comparison was used to put forward some suggestions for studies to be carried out in the future.

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In recent years, global supply chains have increasingly suffered from reliability issues due to various external and difficult to-manage events. The following paper aims to build an integrated approach for the design of a Supply Chain under the risk of disruption and demand fluctuation. The study is divided in two parts: a mathematical optimization model, to identify the optimal design and assignments customer-facility, and a discrete-events simulation of the resulting network. The first one describes a model in which plant location decisions are influenced by variables such as distance to customers, investments needed to open plants and centralization phenomena that help contain the risk of demand variability (Risk Pooling). The entire model has been built with a proactive approach to manage the risk of disruptions assigning to each customer two types of open facilities: one that will serve it under normal conditions and a back-up facility, which comes into operation when the main facility has failed. The study is conducted on a relatively small number of instances due to the computational complexity, a matheuristic approach can be found in part A of the paper to evaluate the problem with a larger set of players. Once the network is built, a discrete events Supply Chain simulation (SCS) has been implemented to analyze the stock flow within the facilities warehouses, the actual impact of disruptions and the role of the back-up facilities which suffer a great stress on their inventory due to a large increase in demand caused by the disruptions. Therefore, simulation follows a reactive approach, in which customers are redistributed among facilities according to the interruptions that may occur in the system and to the assignments deriving from the design model. Lastly, the most important results of the study will be reported, analyzing the role of lead time in a reactive approach for the occurrence of disruptions and comparing the two models in terms of costs.