Productivity improvement by means of method engineering tools and automation in ice cream production at bonanza company

Sofia Raymunda Aldana-Fernandez, Edgar Walter Menendez-Elguera, Sebastian David Torres-Sanchez, Nabilt Moggiano, Ruben Dario Arzapalo-Bello

Research output: Chapter in Book/ReportConference contributionpeer-review

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 languageAmerican English
Title of host publication2023 IEEE World AI IoT Congress, AIIoT 2023
EditorsSatyajit Chakrabarti, Rajashree Paul
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages724-729
Number of pages6
ISBN (Electronic)9798350337617
DOIs
StateIndexed - 2023
Event2023 IEEE World AI IoT Congress, AIIoT 2023 - Virtual, Online, United States
Duration: 7 Jun 202310 Jun 2023

Publication series

Name2023 IEEE World AI IoT Congress, AIIoT 2023

Conference

Conference2023 IEEE World AI IoT Congress, AIIoT 2023
Country/TerritoryUnited States
CityVirtual, Online
Period7/06/2310/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • automation
  • methods engineering
  • productivity
  • refrigeration industry

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