Sökning: "supply network"
Visar resultat 16 - 20 av 608 uppsatser innehållade orden supply network.
16. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER
17. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. LÄS MER
18. Förbättring av nätstruktur i området Forshälla.
Kandidat-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskapSammanfattning : När mycket nybyggnation uppstår i ett område behöver nätstrukturen analyseras för att säkerställa att den befintlig strukturen klarar av det nya effektbehovet. I Forshälla byggs sommarstugor om till permanentboende, nya bostadsområden byggs längst med kusten och hushåll monterar solceller och elbilsladdare på deras hus. LÄS MER
19. Disruptions in the supply chain in the context of economic sanctions : How the companies fulfil the orders of their customers in those situations
Master-uppsats, Linnéuniversitetet/Institutionen för management (MAN)Sammanfattning : Purpose - The purpose of this study is to explore order fulfilment under the pressure of disruptionin the supply chain of international private organisations in the context of economic sanctions. Aconcept’s development was intended with the newest academic stud ies when the paper was written. LÄS MER
20. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysikSammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER