Manufacturing process improvement through technical solutions a case study

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...

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Main Author: Sillanpää, Kristiina
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2021
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/76637
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author Sillanpää, Kristiina
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Sillanpää, Kristiina Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Sillanpää, Kristiina Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Sillanpää, Kristiina
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description 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.
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spellingShingle Sillanpää, Kristiina Manufacturing process improvement through technical solutions : a case study optimization lead time data management Tietojärjestelmätiede Information Systems Science 601 tietojenkäsittely prosessit koneoppiminen tekoäly data processing processes machine learning artificial intelligence
title Manufacturing process improvement through technical solutions : a case study
title_full Manufacturing process improvement through technical solutions : a case study
title_fullStr Manufacturing process improvement through technical solutions : a case study Manufacturing process improvement through technical solutions : a case study
title_full_unstemmed Manufacturing process improvement through technical solutions : a case study Manufacturing process improvement through technical solutions : a case study
title_short Manufacturing process improvement through technical solutions
title_sort manufacturing process improvement through technical solutions a case study
title_sub a case study
title_txtP Manufacturing process improvement through technical solutions : a case study
topic optimization lead time data management Tietojärjestelmätiede Information Systems Science 601 tietojenkäsittely prosessit koneoppiminen tekoäly data processing processes machine learning artificial intelligence
topic_facet 601 Information Systems Science Tietojärjestelmätiede artificial intelligence data management data processing koneoppiminen lead time machine learning optimization processes prosessit tekoäly tietojenkäsittely
url https://jyx.jyu.fi/handle/123456789/76637 http://www.urn.fi/URN:NBN:fi:jyu-202106173835
work_keys_str_mv AT sillanpääkristiina manufacturingprocessimprovementthroughtechnicalsolutionsacasestudy