Sökning: "Availability and Reliability analysis"
Visar resultat 1 - 5 av 75 uppsatser innehållade orden Availability and Reliability analysis.
1. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). LÄS MER
2. Analys av värdekedjan för gruvindustrin ur ett kvalitetsperspektiv : En fallstudie enligt DMAIC vid Kaunis Iron
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleSammanfattning : Kaunis Iron är ett gruvföretag som utvinner järnmalm i Kaunisvaara och producerade cirka 2,3 miljoner ton finkornigt järnmalmskoncentrat under 2022, vilket även går under benämningen slig. Företaget har planer på att öppna två nya dagbrott inom en snar framtid för att öka årsproduktionen till 3 miljoner ton. LÄS MER
3. Relationskontinuitet i hälso- och sjukvårdens patientflöden : En fallstudie i svensk primärvård ur ett flödesperspektiv
Kandidat-uppsats, Jönköping UniversitySammanfattning : ABSTRACT Purpose - The quality of health care is lacking, and increased continuity of care can contribute to and be a prerequisite for increasing quality. Despite the knowledge of the good effects of continuity of care, there is a knowledge gap in what it takes to achieve it. LÄS MER
4. Evaluating Methodological Considerations and Quality Standards in People Analytics: A Scoping Review and Bibliographic Analysis
Master-uppsats, Linnéuniversitetet/Institutionen för psykologi (PSY)Sammanfattning : People analytics (PA) has experienced significant growth in recent years due to the increasing availability of employee data and the impact of digitalization on organizations. This data-driven approach utilizes inductive methods to predict various outcomes in the field of human resources. LÄS MER
5. Transforming Clinical Decision Support with AI
Magister-uppsats, Lunds universitet/Institutionen för informatikSammanfattning : Machine learning, alongside other branches of AI have entered an era of rapid growth in several industries including healthcare, creating vast opportunities to advance several aspects of clinical practice. Specific to clinical decision support, despite the immense potential benefits of incorporating machine learning into clinical decision support systems, also known as machine learning enabled clinical decision support systems, there is a gap in literature and research shows that progress of adoption is still falling behind. LÄS MER