Abstract
The production of ice cream has become very popular in the last decade, showing a gradual increase in the preference of food consumption, generating millions of dollars in the international market, becoming a sector with great technological progress helping to improve the ice cream industry. Even so, there are companies that carry out the processes in an artisanal manner or with little technological modernization, as is the case of the Bonanza company. The purpose of this research is to improve productivity through the use of method engineering tools and industrial automation in the production of ice cream line of Bonanza company. In a guided inspection, the operations diagram, process analysis and route diagram were determined. Finding dead times, bottlenecks, congestion and misuse of resources. With the help of Autodesk Inventor, LabVIEW and TinkerCAD programs, the design and simulation of automated machines for the process of cleaning, inspection and weighing of fruit was carried out. This allowed to go from 30 min, 41 min and 65 min to 14 min and 20 minutes by merging the last two processes respectively. In addition to improving all internal processes and restructuring the path of the route. In conclusion, with the implementation of this project, the product execution time was reduced by 3 hours, optimal resources and increased productivity in the Bonanza company.
Original language | American English |
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Title of host publication | 2023 IEEE World AI IoT Congress, AIIoT 2023 |
Editors | Satyajit Chakrabarti, Rajashree Paul |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 724-729 |
Number of pages | 6 |
ISBN (Electronic) | 9798350337617 |
DOIs | |
State | Indexed - 2023 |
Event | 2023 IEEE World AI IoT Congress, AIIoT 2023 - Virtual, Online, United States Duration: 7 Jun 2023 → 10 Jun 2023 |
Publication series
Name | 2023 IEEE World AI IoT Congress, AIIoT 2023 |
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Conference
Conference | 2023 IEEE World AI IoT Congress, AIIoT 2023 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 7/06/23 → 10/06/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- automation
- methods engineering
- productivity
- refrigeration industry