Repository logo
 

An Analysis of Potential Forms and Impacts of Artificial Intelligence in the Bottling Filling Lines

Simple item page
dc.contributor.advisorMantel, Peter
dc.contributor.advisorWagner, Evamaria
dc.contributor.authorBachar Ibrahim
dc.contributor.departmentFaculty of Business Administration
dc.contributor.otherBerlin International University of Applied Sciences
dc.date.accessioned2023-07-19
dc.date.accessioned2025-12-02T10:35:03Z
dc.date.available2025-12-02T10:35:03Z
dc.date.issued2022
dc.description.abstractAUTHOR-SUPPLIED ABSTRACT: Abstract: In the bottle filling lines, bottle defects are a source of concern for the producers and the customers, which could cause danger to the customer and cost lots of wasted money. Artificial Intelligence automatically detects the bottle defects in the bottle filling line by classifying them as either good or defective and makes the right decision. This study investigates the potential forms and impacts of implementing artificial intelligence in the bottling filling line. Semi-structured interviews were conducted with 12 participants from different countries, and who are working for various beverage companies. All the interviews were conducted online via Google Meet. Artificial intelligence has one main form in the bottling filling line, which is the automated visual inspection. Automated visual inspection is used in different locations and forms to inspect the mouth, bottom, wall, surface finish, volume, cap, sealing, and label of each bottle. The forms of automated visual inspection are considered forms of artificial intelligence because they work differently. Artificial intelligence has positive impacts on information, human, physical, and financial resources. Moreover, this thesis shows a strong correlation between artificial intelligence and the customer by improving the product's safety, optimizing the production capacity, and enhancing the competition and the production chain. Keywords: bottle filling lines, bottle defects, artificial intelligence, automated visual inspection, forms, impacts, interviews, online, Google Meet, safety, production capacity, competition, production chainchesen
dc.description.degreeMA
dc.description.tableofcontentsMACHINE-GENERATED CONTENTS NOTE: Table of Contents Introduction ..........................................................................................................1 Literature Review.................................................................................................5 Bottles Filling Line ..........................................................................................5 Challenges/Disturbances of the bottling line ...................................................6 Bottle's Shape Defects .................................................................................6 Volume Defects............................................................................................7 Cap Defects ..................................................................................................7 Label Defects ...............................................................................................9 Artificial Intelligence in the Production Lines...............................................10 Visual Inspection Process ..............................................................................14 Mechanical Structure .................................................................................14 Electric Control System .............................................................................16 Illumination System ...................................................................................17 Image Processing .......................................................................................18 Artificial Intelligence forms...........................................................................20 Bottle Mouth Inspection.............................................................................20 Bottle Bottom Inspection ...........................................................................22 Bottle Wall Inspection................................................................................24 Bottle Surface Finish Inspection ....................................................................25 Inspection Result of Defective Finish ........................................................29 Bottle Cap Inspection.................................................................................29 Bottle Volume Inspection ..........................................................................30 Product Quality Inspection.........................................................................31 Label Detection ..........................................................................................33 Automated Visual Inspection Detection vs. Manual Inspection Detection ...34 Resource Management ...................................................................................35 Human Resources.......................................................................................35 Information Resources...............................................................................37 Physical Resources.....................................................................................37 Finance Resources......................................................................................40 AI and Customer Relationship ...................................................................40 Methodology ......................................................................................................43 Secondary Research .......................................................................................44 Research Questions (RQs) .........................................................................44 Material Selection ......................................................................................44 Data Analysis and Category Selection..........................................................45 Limitations of the Secondary Research......................................................46 Interviews .......................................................................................................46 Identifying key informants to interview.....................................................47 Thematic Analysis......................................................................................49 Limitations of the Primary Research..........................................................50 Results ................................................................................................................51 Beverage Line ................................................................................................52 Bottle Filling Stations ................................................................................52 Defects Classification.................................................................................53 Artificial Intelligence Locations ................................................................54 Workforce ......................................................................................................55 Discussion ..........................................................................................................61 Limitations .....................................................................................................67 Recommendations ..........................................................................................68 Conclusions ........................................................................................................68 References ..........................................................................................................71 Appendix ............................................................................................................87en
dc.identifier.urihttps://repository.berlin-international.de/handle/123456789/1089
dc.language.isoeng
dc.subjectArtificial Intelligence
dc.subjectAutomated Visual Inspection
dc.subjectBottle Defects
dc.subjectForms
dc.subjectImpacts
dc.subjectInterviews
dc.subjectOnline
dc.subjectProduction Capacity
dc.subjectSafety
dc.subjectBottle Filling Lines
dc.titleAn Analysis of Potential Forms and Impacts of Artificial Intelligence in the Bottling Filling Lines
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
61001.pdf
Size:
1.67 MB
Format:
Adobe Portable Document Format
Download

Collections

Graduate Theses
*formerly known as BAU International Berlin - University of Applied Sciences
©2024 Berlin International University of Applied Sciences |Legal Notice|Privacy policy