Essays about: "Route optimization"

Showing result 11 - 15 of 92 essays containing the words Route optimization.

  1. 11. Heuristic Clustering Methods for Solving Vehicle Routing Problems

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Georgios Nordqvist; Erik Forsberg; [2023]
    Keywords : optimization; vehicle routing problem; sweep clustering; k-means clustering; hierarchical clustering;

    Abstract : Vehicle Routing Problems are optimization problems centered around determining optimal travel routes for a fleet of vehicles to visit a set of nodes. Optimality is evaluated with regard to some desired quality of the solution, such as time-minimizing or cost-minimizing. READ MORE

  3. 12. Investigating the Use of Digital Twins to Optimize Waste Collection Routes : A holistic approach towards unlocking the potential of IoT and AI in waste management

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aarati Medehal; [2023]
    Keywords : Internet of Things; Industry 4.0; Smart Cities; Artificial Intelligence; Travelling Salesman problem; Vehicle Routing Problems; Digital Twins; Waste collection; Optimization; Metaheuristics algorithms; Ant Colony Optimization; Simulated Annealing; Particle Swarm; Tabu Search; Genetic Algorithm; Ontology; Digital Twin Definition Language; Internet of Things; Industri 4.0; Smarta städer; Artificiell intelligens; Travelling Salesman problem; Vehicle Routing Problems; Digitala tvillingar; Sophämtning; Optimering; Metaheuristika algoritmer; Ant Colony optimering; Simulerad glödgning; Partikelsvärm; Tabu-sökning; Genetisk algoritm; Ontologi; Digitala tvillingar defintitionsspråk;

    Abstract : Solid waste management is a global issue that affects everyone. The management of waste collection routes is a critical challenge in urban environments, primarily due to inefficient routing. This thesis investigates the use of real-time virtual replicas, namely Digital Twins to optimize waste collection routes. READ MORE

  4. 13. Process Analyses for Digitalization and Automation at Operational Stop Points for European Rail Freight. : A Case Study of Hallsberg Marshalling Yard (Sweden)

    University essay from KTH/Transportplanering

    Author : ALI MOHAMMED; HAMZA BASHIR; [2023]
    Keywords : ;

    Abstract : The European Rail Freight Transport industry, is critical to the region's logistics and commerce, has experienced considerable alterations in the last few decades. As the need for efficiency, planning, punctuality, and sustainability grows, there is an obvious need to address operational stop points—areas that contribute delays or inefficiencies in the freight transport process. READ MORE

  5. 14. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  6. 15. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser

    University essay from KTH/Materialvetenskap

    Author : Roberto Vita; [2022]
    Keywords : Industy 4.0; Machine Learning; Statistical Modeling; Temperature Prediction; Vacuum Tank Degasser; Vacuum Treatment Step.; Industri 4.0; Maskininlärning; Statistisk modellering; Temperaturförutsägelse; Vakuumbehandlingssteg; Vakuumtankavgasare;

    Abstract : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. READ MORE