Essays about: "Contextual Performance"

Showing result 1 - 5 of 114 essays containing the words Contextual Performance.

  1. 1. Improving capacity planning in outsourced manufacturing through sales and operations planning: A case study at Axis Communications

    University essay from Lunds universitet/Teknisk logistik

    Author : Lukas Andersson; Mikael Janslätt Axelsson; [2022]
    Keywords : Capacity planning; Strategic capacity planning; Manufacturing; Outsourcing; Sales and operations planning; S OP; Electronic manufacturing services; EMS; Technology and Engineering;

    Abstract : This master’s thesis explores how capacity planning in outsourced manufacturing can be improved through sales and operations planning (S&OP). The master’s thesis was done in collaboration with Axis Communications AB, where the capacity planning and S&OP processes were analyzed. READ MORE

  2. 2. Transforming towards “PaaS” offerings : Areas of concern for OEMs & Transformation Readiness Scale

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

    Author : Ali Jumaa; [2022]
    Keywords : ;

    Abstract : The purpose of the project is to investigate and gain knowledge about the process of transforming OEMs’ business structures from a transactional business to a result-oriented product service system or a performance as a service offering. Companies from various market segments have started to offer their customers result-oriented offerings to prolong the life cycle of their products and promote longer customer relationships to secure future business. READ MORE

  3. 3. Object Detection via Contextual Information

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Lovisa Stålebrink; [2022]
    Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

    Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE

  4. 4. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

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

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  5. 5. A Sustainable Strategy rather than a Sustainability Strategy

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Frida Briggner; David Mirosavic; [2022]
    Keywords : CSO; Chief Sustainability Officer; Sustainability; Change Management; Sweden; Business and Economics;

    Abstract : Purpose: The purpose of this thesis is to expand the knowledge of how CSOs can increase their performance in the change toward sustainable businesses in the Swedish context. To investigate this, the study will focus on successful CSOs chosen by specific criterias in order to gather up-to-date insights from relevant CSOs operating in the leading sustainable country. READ MORE