JYX > Opinnäytteet > Pro gradu -tutkielmat > View Item
Manufacturing process improvement through technical solutions : a case study
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
The purpose of this exploratory thesis study is to observe a manufacturing process area in its current state and the opportunities to improve the process area by implementing Artificial Intelligence (AI), Machine Learning (ML) and other technical solutions in industrial manufacturing companies. The theoretical baseline is based on process management, process improvement solutions, AI, and ML. The research is centred around studying industry research and case studies with similar issues and goals as the case company. Data collection was conducted through interviews and observing current processes within the case company. The data was analyzed through compiling all the interview data to understand the current issues and determine the goal of the case company and then determine the best solution based on data and research. The empirical section explored how AI and ML can be implemented, managed, and evaluated for optimization in an industrial manufacturing context. Literature insights were compared with the results from my observations in the discussion section. The answer to the research questions, the limitations of the study, and future research questions are covered in the conclusion. ...
MetadataShow full item record
- Pro gradu -tutkielmat 
Showing items with similar title or keywords.
Strategic cyber threat intelligence : Building the situational picture with emerging technologies Voutilainen, Janne; Kari, Martti (Academic Conferences International, 2020)In 2019, e-criminals adopted new tactics to demand enormous ransoms from large organizations by using ransomware, a phenomenon known as “big game hunting.” Big game hunting is an excellent example of a sophisticated and ...
Sähköä ja alkemiaa : tekoälydiskurssit Yleisradion verkkoartikkeleissa Slotte Dufva, Tomi; Mertala, Pekka (Media- ja viestintätieteellinen seura MEVI ry, 2021)Tässä artikkelissa tarkastelemme sitä, millaisena ja miten tekoäly esitetään suomalaisessa julkisessa keskustelussa, ja ketkä tekoälystä suurelle yleisölle kertovat. Aineistona olemme käyttäneet Yleisradion verkkosivujen ...
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples Zolotukhin, Mikhail; Miraghaie, Parsa; Zhang, Di; Hämäläinen, Timo (Institute of Electrical and Electronics Engineers (IEEE), 2022)The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and ...
Data Analytics in Healthcare : A Tertiary Study Taipalus, Toni; Isomöttönen, Ville; Erkkilä, Hanna; Äyrämö, Sami (Springer Science and Business Media LLC, 2023)The field of healthcare has seen a rapid increase in the applications of data analytics during the last decades. By utilizing different data analytic solutions, healthcare areas such as medical image analysis, disease ...
On Attacking Future 5G Networks with Adversarial Examples : Survey Zolotukhin, Mikhail; Zhang, Di; Hämäläinen, Timo; Miraghaei, Parsa (MDPI AG, 2023)The introduction of 5G technology along with the exponential growth in connected devices is expected to cause a challenge for the efficient and reliable network resource allocation. Network providers are now required to ...