Essays about: "product segmentation"

Showing result 6 - 10 of 59 essays containing the words product segmentation.

1. 6. Managing Commodity Price Volatility : A Multi-Case Study

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Erik Hällgren; Viktor Ljungdahl; [2022]
   Keywords : Commodity price volatility; raw material; strategic sourcing; Covid-19; supplier relationship management; product segmentation; escalator clause.; prisvolatilitet; råmaterial; strategiskt inköp; Covid-19; leverantörsrelationer; produktportfölj; råmaterialklausul.;

   Abstract : This study investigates possible ways of managing commodity price volatility from a purchasing perspective and how the applicability of tools depends on company specific circumstances. Covid-19 has created large disruptions in global supply chains and led to increased price volatility for virtually all commodities. READ MORE

3. 7. Observation Based Modeling of Liquid Slosh in Drop Tests

   University essay from Lunds universitet/Matematik LTH

   Author : Victor Ekblad; Axl Roos; [2022]
   Keywords : Sloshing; Fluid Dynamics; Image Segmentation; 3D reconstruction; Machine Learning; U-Net; CNN; GCN; LSTM; Mathematics and Statistics;

   Abstract : Tetra Pak® is a world leading food packaging company with a large variety of paperboard beverage packages. In the development of paperboard packages, an essential component is utilizing simulation models long before physical prototypes are manufactured. This speeds up the development process and allows quick evaluation of new designs. READ MORE

4. 8. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Author : Jakob Melki; [2022]
   Keywords : Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Abstract : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. READ MORE

5. 9. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Tsehaie Russom; [2022]
   Keywords : Synthetic Training Dataset; Geometrical Defect Detection; Instance Segmentation; Data Augmentation Techniques; Mask R-CNN; Transformers; Syntetisk Träningsdataset; Detektion av Geometriska Defekter; Instanssegmentering; Tekniker för Dataaugmentering; Mask R-CNN; Transformers;

   Abstract : Quality inspection is an essential part of almost any industrial production line. However, designing customized solutions for defect detection for every product can be costlyfor the production line. This is especially the case for short-series production, where theproduction time is limited. READ MORE

6. 10. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression

   University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

   Author : Francisco Erazo; Stephany Rojas Gerena; [2022]
   Keywords : XGBoost; Logistic Regression; Classification Algorithms; Food and Beverage; Cost-Sensitive Analysis; SMOTE; Business and Economics;

   Abstract : In the past few years, many industries have become interested in premium product segmentation to achieve higher unit margins. In this paper, we applied machine learning algorithms to predict whether a product is premium or non-premium. READ MORE