Sökning: "operational risk management framework"

Visar resultat 1 - 5 av 36 uppsatser innehållade orden operational risk management framework.

1. 1. Purchasing and digitalization in an era of turbulence

   Master-uppsats, Lunds universitet/Teknisk logistik

   Författare :Vishal Natesan; Emil Sarajlic; [2023]
   Nyckelord :Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

   Sammanfattning : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. LÄS MER

3. 2. Risks and risk management in construction projects : A product life cycle approach

   Magister-uppsats, Högskolan i Gävle/Besluts-, risk- och policyanalys

   Författare :Björn Åberg; [2023]
   Nyckelord :Risk; Construction projects; Risk Management;

   Sammanfattning : The construction industry often operates with important and expensive projects that should meet deadlines and various regulations and at the same time avoid risks associated with the phases of the construction projects. This thesis reviews risks by a project life cycle (PLC) and the risk management used in construction projects by interviewing different construction project stakeholders such as hotel owners in Belgium and construction specialists. LÄS MER

4. 3. Riskhantering i praktiken i produktutvecklingsprocessen

   Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Alma Johansson; Filippa Sand; [2023]
   Nyckelord :;

   Sammanfattning : Dagens samhälle är präglat av ständig förändring vilket resulterar i att företag också måste anpassa sig därefter. I samband med nya utmaningar inom produktutveckling uppstår risker, vilka i detta arbete definieras som slumpmässiga eller osäkra händelser som leder till negativa ekonomiska konsekvenser för företag. LÄS MER

5. 4. Enhanced Vulnerability and Capacity Assessments as an organisational learning bridge for resilience building? A case study of Red Cross National Societies in the Caribbean

   Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

   Författare :Gwenaëlle Delcourt; [2023]
   Nyckelord :Organisational learning; resilience; vulnerability and capacity assessments VCAs ; red cross red crescent; Disaster risk management; MMO; Social Sciences;

   Sammanfattning : Adaptive capacity based on organisational learning (OL) is at once a critical imperative facing humanitarian organisations in their mission to save lives and support communities most at risk; and inherently evidenced as an enduring weakness over the past decades. Vulnerability and Capacity Assessments (VCA) are community-based risk assessments established for their utility in supporting communities’ iterative learning. LÄS MER

7. 5. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Annika Gerigoorian; Maha Kloub; [2023]
   Nyckelord :Artificial Intelligence; AI Implementation; Enterprise Risk Management; Mammography; Medical Imaging; Artificiell Intelligens; AI Implementering; Enterprise Risk Management; Mammografi; Bild- och funktionsmedicin;

   Sammanfattning : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. LÄS MER