Sökning: "arbetsintensiv"
Visar resultat 1 - 5 av 17 uppsatser innehållade ordet arbetsintensiv.
1. Från Tradition till Innovation : En fallstudie om möjlig effektivisering av orderplocksprocessen på ett livsmedelslager
Kandidat-uppsats, Malmö universitet/Fakulteten för kultur och samhälle (KS)Sammanfattning : The Food Industry plays a crucial role in meeting human needs, but it also requires complex management in the supply chain. A costly and labor-intense part of the chain involves the order picking process, where proper handling and accuracy are important to ensuring the quality of food products. LÄS MER
2. Exploring Reskilling Challenges in the Construction Industry : A case study of a Swedish flooring company
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The construction industry is facing problems with labour shortages. These problems have occurred because of a declining image, leading to fewer applicants to vocational schools. The purpose of this study was to explore the challenges that small organisations in the Swedish construction industry have to face when conducting reskilling programs. LÄS MER
3. Realism of Procedural Lichens on Horizontal Stone Surfaces : Simulation and evaluation of lichens
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Humans use creativity and manual dexterity to create things, usually in a labor-intensive process. Procedural content generation (PCG) is an approach where computers do most of the manual work of creating virtual objects, while a human leads the creative process. LÄS MER
4. Smart Compose for Live Chat Agent
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the digital business environment, customer service communication has grown up to become a labor- intensive task. In consideration of high labor costs, automatic customer service could be such a good alternative for many companies. However, communication with customers can not be easily automated. LÄS MER
5. Self-Learning Methodology for Failure Detection in an Oil- Hydraulic Press : Predictive maintenance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep Learning methods have dramatically improved the state-of-the-art across multiple fields, such as speech recognition, object detection, among others. Nevertheless, its application on signal processing, where data is frequently unlabelled, has received relatively little attention. LÄS MER