Essays about: "Product segmentation"
Showing result 6 - 10 of 59 essays containing the words Product segmentation.
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6. Managing Commodity Price Volatility : A Multi-Case Study
University essay from KTH/Skolan för industriell teknik och management (ITM)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
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7. Observation Based Modeling of Liquid Slosh in Drop Tests
University essay from Lunds universitet/Matematik LTHAbstract : 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
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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)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
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9. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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
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10. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : 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