Optimization of Insert-Tray Matching using Machine Learning

Optimization of Insert-Tray Matching using Machine Learning

The manufacturing process of carbide inserts at Sandvik Coromant consists of several operations. During some of these, the inserts are positioned on trays. For some inserts the trays are pre-defined but for others the insert-tray matching is partly improvised. The goal of this thesis project is to e...

Full description

Bibliographic Details
Main Author:	Hedberg, Karolina
Format:	Others
Language:	English
Published:	Uppsala universitet, Avdelningen för systemteknik 2021
Subjects:	Machine learning Supervised learning Feature selection Computer and Information Sciences Data- och informationsvetenskap
Online Access:	http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-452871

Similar Items

Improving armed conflict prediction using machine learning : ViEWS+
by: Helle, Valeria, et al.
Published: (2018)

Product Matching through Multimodal Image and Text Combined Similarity Matching
by: Ko, E Soon
Published: (2021)

Predictive maintenance for a wood chipper using supervised machine learning
by: Lindström, Johan
Published: (2018)

Evaluating and enhancing the security of cyber physical systems using machine learning approaches
by: Sharma, Mridula
Published: (2020)

Approaches to Interactive Online Machine Learning
by: Tegen, Agnes
Published: (2020)

Classification of Gear-shift data using machine learning
by: Stenekap, Daniel
Published: (2021)

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model
by: Nina Reščič, et al.
Published: (2020-12-01)

Creating and Improving Machine Learning Algorithms for Plant Disease Identification
by: Lindgren, Sebastian
Published: (2020)

A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset
by: Méndez, José
Published: (2021)

Customer segmentation using machine learning
by: Johansson, Axel, et al.
Published: (2021)

User-centred Design for Input Interface of a Machine Learning Platform
by: Hadiwijaya, Aditya Gianto
Published: (2020)

Detecting exoplanets with machine learning : A comparative study between convolutional neural networks and support vector machines
by: Tiensuu, Jacob, et al.
Published: (2019)

Applying machine learning to detect structural faults in microscopic images of inserts
by: Fröjd, Emil
Published: (2020)

Pushing the Limits of Gossip-Based Decentralised Machine Learning
by: Giaretta, Lodovico
Published: (2019)

Machine Learning and Telematics for Risk Assessment in Auto Insurance
by: Ekström, Frithiof, et al.
Published: (2020)

Supervised Classification Leveraging Refined Unlabeled Data
by: Bocancea, Andreea
Published: (2015)

Machine Learning assisted system for the resource-constrained atrial fibrillation detection from short single-lead ECG signals
by: Abdukalikova, Anara
Published: (2018)

An implementation analysis of a machine learning algorithm on eye-tracking data in order to detect early signs of dementia
by: Lindberg, Jennifer, et al.
Published: (2020)

Differential Deep Learning for Pricing Exotic Financial Derivatives
by: Aslaksen Jonasson, Erik Alexander
Published: (2021)

An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection
by: Gustavo Estrela, et al.
Published: (2020-04-01)

Supervised probabilistic failure prediction of tuned mass damper-equipped high steel frames using machine learning methods
by: Farrokhi Farshid, et al.
Published: (2020-09-01)

Emergency Department Triage Prediction of Emergency Severity Index using Machine Learning Models
by: Sekandari, Zohib, et al.
Published: (2019)

Load Imbalance Detection for an Induction Motor : - A Comparative Study of Machine Learning Algorithms
by: Berg, Stina, et al.
Published: (2019)

A Comparative Study of Reinforcement-based and Semi-classical Learning in Sensor Fusion
by: Bodén, Johan
Published: (2021)

Machine Learning for Constraint Programming
by: Wang, Tianze
Published: (2019)

A Machine Learning approach to churn prediction in a subscription-based service
by: Blank, Clas, et al.
Published: (2018)

Using Machine Learning to Categorize Documents in a Construction Project
by: Björkendal, Nicklas
Published: (2019)

Bank risk analysis with machine learning
by: Vu, Viet, et al.
Published: (2021)

Predicting Hit Songs with Machine Learning
by: Reiman, Minna, et al.
Published: (2018)

On Practical machine Learning and Data Analysis
by: Gillblad, Daniel
Published: (2008)

Web Scraping using Machine Learning
by: Carle, Victor
Published: (2020)

LIBS Multivariate Analysis with Machine Learning
by: Nicolini, Olivier
Published: (2020)

Bootstrapping Named Entity Annotation by Means of Active Machine Learning: A Method for Creating Corpora
by: Olsson, Fredrik
Published: (2008)

Automating dataflow for a machine learning algorithm
by: Gunneström, Albert, et al.
Published: (2019)

Predicting Customer Behavior in E-commerce using Machine Learning
by: Gonzalez Munoz, Mario, et al.
Published: (2019)

Predicting house prices with machine learning methods
by: Engström, Isak, et al.
Published: (2019)

Exploration of big data and machine learning in retail
by: Edblom, Johan
Published: (2017)

Assessing financial advice using machine learning
by: Henriques, Johan, et al.
Published: (2018)

Machine learning and rule induction in invoice processing : Comparing machine learning methods in their ability to assign account codes in the bookkeeping process
by: Bergdorf, Johan
Published: (2018)

A contemporary machine learning approach to detect transportation mode - A case study of Borlänge, Sweden
by: Golshan, Arman
Published: (2020)