Format:
87 pages :
,
illustrations ;
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21.59 × 27.94 cm.
Content:
AUTHOR-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 chainches.
Note:
DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2022.
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MACHINE-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 ............................................................................................................87
Language:
Undetermined
Keywords:
Academic theses
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