Multi-criteria evaluation method for freight logistics innovations

The objective of this study is to build up a common approach for the assessment of logistics innovations. Innovations are referred to here as best practices and are considered as existing approaches or solutions providing an answer to a relevant problem or challenge in freight transport. The impact evaluation of logistics innovations takes into account strategic targets, topics covered, transferability and novelty of the best practices. A freight specific multi-criteria analysis approach was designed for the evaluation process

Avancerade fallstudier i riskhantering

The word risk is used to describe a situation that involves a possibility of something undesired to happen. The systematic process of identifying, evaluating and reducing risks is usually referred to as risk management (RM). The forerunner applications of modern RM emerge from the military, nuclear power production and finance from where the methods have subsequently spread to every field where significant unwanted uncertainties exist. Although risk is pervasive, the methods and their usage depend on the context. Therefore, the case method is a powerful tool in teaching RM. This thesis presents four educational RM case studies compiled by the author. The studies are aimed to show graduate students how some centrallUv1 methods may be used in practice and give insight in the general principles of RM. The whole process from risk identification to evaluation of implemented solutions is described. To give a multifaceted view, the cases include risk situations from different fields: poultry production, electricity retailing, mining and pension insurance business. Also a comparative analysis of the cases is conducted, where causal relationships between different properties are identified. Using the insight learnt from the cases, general guidelines and structural outlines concerning risk management are suggested. A comparative analysis of the cases highlight that the RM method selection does not only depend on the modelling properties of the phenomena and the type of loss, but also on the traditions in each field. Seemingly different fields dealing with mathematically similar phenomena could gain from interaction and exchanging of methods. Based on the type of available information, rough guidelines for when to use frequentist, Bayesian or expert elicitation methods in probability assessments is drawn. The precautionary principle should be practised in cases with significant incertitude, where a formal risk assessment cannot be conducted. The comparative analysis supports also the intuitive assumption that the extent of governmental RM through regulations depends on the ubiquity and influence of the risk. The case studies can be found at http://www.sal.hut.fi/Web-Activities/RM/

Advanced Case Studies in Risk Management

The word risk is used to describe a situation that involves a possibility of something undesired to happen. The systematic process of identifying, evaluating and reducing risks is usually referred to as risk management (RM). The forerunner applications of modern RM emerge from the military, nuclear power production and finance from where the methods have subsequently spread to every field where significant unwanted uncertainties exist. Although risk is pervasive, the methods and their usage depend on the context. Therefore, the case method is a powerful tool in teaching RM. This thesis presents four educational RM case studies compiled by the author. The studies are aimed to show graduate students how some central RM methods may be used in practice and give insight in the general principles of RM. The whole process from risk identification to evaluation of implemented solutions is described. To give a multifaceted view, the cases include risk situations from different fields: poultry production, electricity retailing, mining and pension insurance business. Also a comparative analysis of the cases is conducted, where causal relationships between different properties are identified. Using the insight learnt from the cases