This thesis proposes a classification system of risk mitigation strategies based on literature search and industry interviews. Following that, a list of generic properties was generated to describe individual strategies. In parallel, populating the properties of a large number of identified strategies was attempted. The practical implications are discussed mainly focusing on knowledge management for risk mitigation strategies.

This thesis proposes a classification system of risk mitigation strategies based on literature search and industry interviews. Following that, a list of generic properties was generated to describe individual strategies. In parallel, populating the properties of a large number of identified strategies was attempted. The practical implications are discussed mainly focusing on knowledge management for risk mitigation strategies.

This thesis proposes a classification system of risk mitigation strategies based on literature search and industry interviews. Following that, a list of generic properties was generated to describe individual strategies. In parallel, populating the properties of a large number of identified strategies was attempted. The practical implications are discussed mainly focusing on knowledge management for risk mitigation strategies. / Applied Science, Faculty of / Civil Engineering, Department of / Graduate

Abstract Background: Consumer interest and demand for healthy and ecologically produced local food has led to a high market demand that local production cannot meet. Product attributes of perishability and short life cycles ensure that even local supply chains are challenging to manage. This increases potential for risks occurrence in an Organic Food Supply Chain (OFSC) especially with unreliable supply of products. Small and established food retailers import organic food products from across the world. Custom delays, high transport charges, commodity costs and regulatory requirements are associated with food imports. This renders OFSCs complex and vulnerable to disruptions or breakdowns that require appropriate strategies to identify and mitigate risks. Purpose: To gain an overall insight of risks mitigation in OFSCs. The purpose of this thesis is to assess risks affecting suppliers and retailers of organic food and propose risk mitigation strategies to prevent or minimise supply chain breakdowns. Method: This qualitative study utilizes a case study strategy involving seven case firms and seven research respondents. Data is collected through semi-structured interviews and documentary secondary data. The analysis of the empirical findings is conducted by cross analysing empirical findings of respective case firms and then emerging patterns are formulated into a general framework. Conclusions: Low conversion rates of farms for organic production, high costs of investments and regulatory requirements have contributed to prevailing production risks that partly cause low organic output. Other risks identified that could disrupt the food chain under study include sourcing, warehousing, demand, price, financial and institutional risks. Mitigation strategies proposed include production procedures, CAP, supply chain flexibility, supply chain visibility, certification, diversification of retail channels, brand image building, horizontal & vertical cooperation and buyer-supplier relations.

Context and rationale – This work originates from policy priorities established within Defra to manage exotic animal diseases (EAD); specifically to understand the causes of low probability events, and to establish contingencies to manage outbreak incidents. Outbreaks of exotic animal diseases, e.g. FMD, CSF and HPAI, can cause economic and social impacts of catastrophic proportions. The UK’s government develops and implements policies and controls to prevent EAD and thus minimise these impacts. Control policies to achieve this are designed to address the vulnerabilities within the control systems. However, data are limited for both the introduction of an EAD as well as its resurgence following the disposal of infected carcasses, i.e. the pre-outbreak and post-outbreak phases of an EAD event. These lack of data compromises the development of policy interventions to improve protection. To overcome these data limitations, predictive models are used to predict system vulnerabilities. Cont/d.

In recent years, the frequency of disruptive events in supply chains has increased. This is partly due to the fact that supply chains are more globalized and more complex, with deeper tiering among suppliers. This makes the supply chain more vulnerable to risks. Supply chain risks that come with the dependencies of global suppliers have been evident due to unexpected global events such as the Covid-19 pandemic, the obstruction in the Suez Canal, and the Russia-Ukraine war. To mitigate supply chain risks, a company needs to have a resilient supply chain. Volvo Construction Equipment, a world-leading manufacturer of premium construction equipment, has experienced some particularly challenging years due to global occurrences with material shortages, capacity constraints, and supply routes disruption. This has built up stress in the organization, both among processes and employees. To be able to plan for the coming years of high uncertainty, Volvo CE wants to investigate how they can anticipate and mitigate various risks and resist market fluctuations to create a more resilient supply chain. Therefore the purpose of the research was formulated as: The purpose of the research is to suggest how Volvo Construction Equipment AB can mitigate supply chain risks to secure the future supply chain in a volatile market. To facilitate the fulfillment of the research’s purpose, three research questions were developed concerning risk identification, assessing resilience capabilities, and assessing risk mitigation strategies. The first research question, RQ1, identified Volvo CE’s supply chain risks and the vulnerability of the risks. The supply chain risks were identified through focused group discussions with Volvo CE employees and the most vulnerable risks were determined through a survey with responses from the participants in the group discussions. Three risks were considered the most vulnerable in Volvo CE’s supply chain; lack of raw material and component shortage, lack of labor and competence in production at supplier, and shutdown of supplier factory due to unexpected events. The second research question, RQ2, answered which resilience capabilities Volvo CE possesses today and which should be improved. The resilience capabilities were assessed qualitatively through semi-structured interviews. The interview answers were then interpreted into what SCRES elements Volvo CE possess. It was concluded that all resilience capabilities can be improved but two out of five capabilities, ability to anticipate and ability to recover, were considered to have the most improvement potential as they contain a large proportion of SCRES elements that are not fully possessed today. Through semi-structured interviews and a cross-question analysis with RQ1 and RQ2, the third research question, RQ3, regarding the assessment of risk mitigation strategies could be answered. Based on the result of all research questions, five risk mitigation strategies were suggested for Volvo CE. These aimed to improve Volvo CE’s resilience capabilities with the most improvement potential to be able to mitigate the most vulnerable supply chain risks. The suggested risk mitigation strategies were supply chain understanding, SCRM culture, supplier relationship, backup supplier, and scenario planning. By working with these strategies, Volvo CE could significantly increase its resilience and thus create an organization better able to mitigate supply chain risks to secure the future supply in a volatile market.

Hydrogeological hazards are quite diffuse rainfall-induced phenomena that affect mountain regions and can severely impact these territories, producing damages and sometimes casualties. For this reason, hydrogeological risk reduction is crucial. Mitigation strategies aim to reduce hydrogeological risk to an acceptable level and can be classified into structural and non-structural measures. This work focuses on enhancing some non-structural risk mitigation measures for mountain areas: debris-flow rainfall thresholds, as a part of an Early Warning System (EWS), multivariate rainfall scenarios with multi-hazard mapping purpose and public awareness. Regarding debris-flow rainfall thresholds, an innovative calibration method, a suitable uncertainty analysis and a proper validation process are developed. The Backward Dynamical Approach (BDA), a physical-based calibration method, is introduced and a threshold is obtained for a study area. The BDA robustness is then tested by assessing the uncertainty in the threshold estimate. Finally, the calibrated threshold's reliability and its possible forecast use are assessed using a proper validation process. The findings set the stage for using the BDA approach to calibrate debris-flow rainfall thresholds usable in operational EWS. Regarding hazard mapping, a multivariate statistical model is developed to construct multivariate rainfall scenarios with a multi-hazards mapping purpose. A confluence between a debris-flow-prone creek and a flood-prone river is considered. The multivariate statistical model is built by combining the Simplified Metastatistical Extreme Value approach and a copula approach. The obtained rainfall scenarios are promising to be used to build multi-hazard maps. Finally, the public awareness within the LIFE FRANCA (Flood Risk ANticipation and Communication in the Alps) European project is briefly considered. The project action considered in this work focuses on training and communication activities aimed at providing a multidisciplinary view of hydrogeological risk through the holding of courses and seminars.