Essays about: "logistic planning"
Showing result 11 - 15 of 70 essays containing the words logistic planning.
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11. Predict future software defects through machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The thesis aims to investigate the implications of software defect predictions through machine learning on project management. In addition, the study aims to examine what features of a code base that are useful for making such predictions. READ MORE
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12. Sustaining Shadows : A Theory of Special Operations Logistics For Unconventional Warfare
University essay from FörsvarshögskolanAbstract : Smaller states face conventional force strength asymmetry against larger states like Russia and, it is in their interest to find ways to mount an effective and multifaceted resistance. Being able to sustain operations on occupied territory against an occupying force could be one of these ways. READ MORE
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13. How to make the most of open data? A travel demand and supply model for regional bicycle paths
University essay from KTH/Transport och systemanalysAbstract : Detta examensarbete syftar till att svara på ett av Trafikverket fastställt problem: en gemensam regional cykelplanerings process skulle göra dem billigare och mer jämförbara. De erbjuder för närvarande planerarna en modell som utvecklades av Kågeson 2007. READ MORE
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14. Challenges while moving towards Warehouse Automation
University essay from Jönköping University/JTH, ProduktionsutvecklingAbstract : Currently, customers are pushing companies by demanding high quality, customized products, reduced lead time, and reliable delivery. To provide such high customer sat-isfaction, companies have to rely on third-party logistics and warehouse operations. READ MORE
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15. Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis
University essay from Jönköping University/JTH, Byggnadsteknik och belysningsvetenskapAbstract : The Architecture, Engineering, and Construction (AEC) industry is known to be overwhelmed with resource planning, risk management, and logistic challenges, resulting in design defects, project delivery delays, cost overruns, and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as Deep learning (DL) to help with diagnostic and prescriptive analysis of causes and preventive measures. READ MORE