Essays about: "warehouse performance"
Showing result 1 - 5 of 89 essays containing the words warehouse performance.
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1. Multi-Agent Deep Reinforcement Learning in Warehouse Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE
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2. Complex KPIs versus the usual benchmarks : a case study on Svensk Dos order picking department
University essay from SLU/Dept. of EconomicsAbstract : This thesis addresses the research gap of a limited discussion on how to establish targets and expectations for Key Performance Indicators (KPIs) related to order processing in warehouse settings. It emphasizes the scarcity of studies addressing this problem and the challenges faced by larger companies in monitoring their order processing performance without clear benchmarks. READ MORE
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3. Lakehouse architecture forsimplifying data sciencepipelines
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Data management and pre-processing often consume the majority of time spent by datascientists. The data architecture and the configuration of data pipelines significantly influencethe efficiency of this work. READ MORE
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4. Impacts of IoT on Supply chain management : Case of E-commerce Firms
University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikAbstract : In a complex and challenging global economy for supply chains to improve their performance, different types of technologies are deployed. The Internet of things (IoT) as one of these technologies enables devices to be connected via a network, i.e. internet. READ MORE
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5. Reinforcement Learning for Pickup and Delivery Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this project multi-agent reinforcement learning (RL) for a warehouse environmentwith robots delivering packages has been studied. This was done by first implementing the RLalgorithm Q-learning and investigating how the parameters of Q-learning affect the performanceof the algorithm. READ MORE