Essays about: "kvalitativa prognoser"

Showing result 1 - 5 of 10 essays containing the words kvalitativa prognoser.

  1. 1. Manufacturing & Regional Cost Competitiveness of Commercial Sodium Ion Cells : A bottom-up cost analysis of Lithium and Sodium Ion Battery Storage

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

    Author : Srujan Kiran Alva; [2023]
    Keywords : Sodium Prussian Blue Analogues; Sodium layered oxides; Lithium Iron Phosphate; Sodium NMC111; Lithium NMC111; Battery Manufacturing Scaling; Cost Analysis; Battery manufacturing policy; Industrial Import Costs; Cathode Thickness;

    Abstract : Batteries are increasingly seen as an indispensable element in the rapid progress of the energy transition. With forecasts for global demand set to reach 2 TWh by 2030 and increasing policy support for battery manufacturers, many questions arise on whether the current rapid expansion of battery manufacturing industry is sustainable. READ MORE

  3. 2. Effects of power-law correlated disorder on a 3D XY model

    University essay from KTH/Fysik

    Author : Philip Broms; [2022]
    Keywords : Condensed matter physics; Ising model; XY model; Markov Chain Monte Carlo; Phase transition; Disorder; Theoretical physics; Wolff algorithm; Kondenserade materians teori; Isingmodell; XY-modell; Markovkedje-Monte Carlo-metoder; Teoretisk fysik; Oordning; Fasövergångar; Wolffalgoritmen;

    Abstract : This thesis investigates the effects of power-law correlated disorder on a three-dimensional XY model and the Weinrib-Halperin disorder relevance criterion’s pre-dictive ability. Ising models are used as a map to realise disorder couplings. READ MORE

  4. 3. Exploring Demand Forecasting Strategy in Young Fast-Growing Companies : A Case Study of Nudient

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

    Author : Marcus Andersson; [2022]
    Keywords : Demand forecasting; methods; strategy; quantitative forecasts; qualitative forecasts; Efterfrågeprognoser; metoder; strategier; kvantitativa prognoser; kvalitativa prognoser;

    Abstract : The purpose of this study is to provide the case company Nudient with a recommendation of what demand forecasting methods and strategies they should use. To be able to make a tailored recommendation, a literature study is conducted to explore what demand forecasting methods are commonly used on applications similar to the case being studied. READ MORE

  5. 4. Forecasting Volume of Sales During the Abnormal Time Period of COVID-19. An Investigation on How to Forecast, Where the Classical ARIMA Family of Models Fail

    University essay from KTH/Matematisk statistik

    Author : Christina Ghawi; [2021]
    Keywords : Time series forecasting; ARIMA family of models; abnormal time period; extreme events; COVID-19 pandemic; time series outliers;

    Abstract : During the COVID-19 pandemic, customer shopping habits have changed. Some industries experienced an abrupt shift during the pandemic outbreak while others navigate in new normal states. For some merchants, the highly-uncertain new phenomena of COVID-19 expresses as outliers in time series of volume of sales. READ MORE

  6. 5. Sales Volume Forecasting of Ericsson Radio Units - A Statistical Learning Approach

    University essay from KTH/Matematisk statistik

    Author : Patrik Amethier; André Gerbaulet; [2020]
    Keywords : Statistics; Applied mathematics; Neural networks; decision trees; machine learning; sales volumes; predictions; demand forecasting; Statistik; tillämpad matematik; neurala nätverk; trädmodeller; maskininlärning; försäljningsvolym; prognostisering;

    Abstract : Demand forecasting is a well-established internal process at Ericsson, where employees from various departments within the company collaborate in order to predict future sales volumes of specific products over horizons ranging from months to a few years. This study aims to evaluate current predictions regarding radio unit products of Ericsson, draw insights from historical volume data, and finally develop a novel, statistical prediction approach. READ MORE