Essays about: "lager förbättringar"
Showing result 1 - 5 of 46 essays containing the words lager förbättringar.
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1. Logistikoptimering med 3PL-Integration
University essay from Högskolan Väst/Institutionen för ingenjörsvetenskapAbstract : Bakgrund – Essity, en framstående aktör inom hygien- och hälsobranschen, står inför utmaningar gällande logistikflödet för konsumentprodukter från produktionsanläggningen i Lilla Edet till kunder i Danmark. Den nuvarande logistikprocessen involverar intern transport med egna lastbilar till externa lager. READ MORE
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2. Comparison of Hebbian Learning and Backpropagation for Image Classification in Convolutional Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Current commonly used image recognition convolutional neural networks share some similarities with the human brain. However, the differences are many and the well established backpropagation learning algorithm is not biologically plausible. READ MORE
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3. A Holistic Framework for Analyzing the Reliability of IoT Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the rapidly evolving landscape of the Internet of Things (IoT), ensuring consistency and reliability becomes a top priority for a seamless user experience. In many instances, reliability is assessed through Quality of Service (QoS) metrics, sidelining traditional reliability metrics that thrive on time-dependent failure rates. READ MORE
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4. Exploring stakeholders’ expectations regarding human-machine interaction : A case study within a warehouse environment
University essay from Jönköping University/JTH, Logistik och verksamhetsledningAbstract : Purpose: The purpose of this study is to explore the expectations of different stakeholders regarding human-machine interaction. After finding the expected benefits and drawbacks to human-machine interaction, is it important to seek the causes that may lead to misalignment concerning human-machine interaction. READ MORE
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5. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE