[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120081-en":3,"doc-seo-120081-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120081,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","A maturity model to determine the degree of utilization of machine learning in production planning and control processes","This master’s thesis develops a maturity model for assessing how extensively machine learning is utilized within production planning and control processes. It establishes theoretical foundations spanning machine learning concepts and PPC process structures, then synthesizes findings from existing maturity models and related research through analytical methods such as SWOT. The work designs the model, defines maturity levels, specifies design fields and dimensions, and formulates a maturity model-based design approach to structure evaluation and improvement of ML adoption.","Technische Hochschule Ingolstadt  \nFaculty of Engineering and Management Master’s course Engineering and Business  \nMaster’s thesis  \nSubject:  \nA maturity model to determine the degree of utilization of machine learning in production planning and control processes  \nName:  \nJakob Joseph Lorenz Hartl  \nIssued on: April 17, 2023  \nSubmitted on: October 17, 2023  \nFirst examiner: Prof. Dr. Jürgen Bock  \nSecond examiner: Prof. Dr. Alexander Schiendorfer  \nDeclaration  \nI hereby declare that this thesis is my own work, that I have not presented it elsewhere for examination purposes and that I have not used any sources or aids other than those stated. I have  \nmarked verbatim and indirect quotations as such.  \nIngolstadt, October 10, 2023  \nTable of Contents  \nList of Figures ........................................................................................................................................ V  \nList of Tables......................................................................................................................................... VI  \nList of Abbreviations............................................................................................................................ VII  \nAbstract .............................................................................................................................................. VIII  \n1 Introduction ................................................................................................................................... 1  \n1.1 Initial Situation ....................................................................................................................... 1  \n1.2 Objective and Research Question...........................................................................................3  \n1.3 Structure of the Work.............................................................................................................4  \n2 Theoretical Foundations ................................................................................................................5  \n2.1 Machine Learning ...................................................................................................................5  \n2.1.1 Basics of AI supported Data Processing ..........................................................................5  \n2.1.2 Types of Artificial Intelligence.........................................................................................7  \n2.1.3 Machine Learning without Neural Networks ..................................................................8  \n2.1.4 Machine Learning with Neural Networks .....................................................................10  \n2.1.5 Back Propagation Algorithm ......................................................................................... 11  \n2.1.6 Data Clustering ............................................................................................................. 13  \n2.1.7 Preparation and Selection of Data for the Training ......................................................14  \n2.2 PPC Processes ....................................................................................................................... 15  \n2.2.1 Production Fundamentals............................................................................................. 15  \n2.2.2 Production System ........................................................................................................ 16  \n2.2.3 Production Planning and Control System .....................................................................18  \n2.3 Total System Challenge ........................................................................................................21  \n2.3.1 Digital Business Transformation ...................................................................................22  \n2.3.2 Industry 4.0........................................................................................","cbCaiqjt989cUS2M","https://ap.wps.com/l/cbCaiqjt989cUS2M","pdf",2588177,1,112,"English","en",105,"# Introduction\n## Initial Situation\n## Objective and Research Question\n## Structure of the Work\n# Theoretical Foundations\n## Machine Learning\n## PPC Processes\n## Total System Challenge\n## Maturity Model\n# State of the Art\n## SWOT Analysis\n## Related Works & Research Fields\n# Analysis and Results\n## Analysis of present Maturity Models\n## Basic Design of the Maturity Model\n## Maturity Model with Design Fields & Dimensions","[{\"question\":\"What is the purpose of the maturity model in this thesis?\",\"answer\":\"It provides a structured way to determine the degree of utilization of machine learning in production planning and control processes.\"},{\"question\":\"Which topics are covered in the theoretical foundations?\",\"answer\":\"The thesis covers machine learning basics, PPC process fundamentals, and the broader challenges of digital transformation and Industry 4.0, culminating in maturity model theory.\"},{\"question\":\"How is the maturity model developed and validated in the analysis?\",\"answer\":\"The work analyzes existing maturity models, then designs the proposed model by defining maturity levels, design fields, and dimensions using a maturity model-based design approach.\"}]","A maturity model to determine the degree of utilization of machine learning in production planning and control processes | 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