Optimal Configuration of an Automated Dairy Factory

Master thesis (2019)

Authors

P.J. Gideonse Mechanical Engineering

Contributors

D.L. Schott Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (mentor)
Y. Pang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (mentor)
Yilin Huang System Engineering - TPM (graduation committee member)
Faculty
Mechanical Engineering, Mechanical Engineering
Copyright: © 2019 Pieter Gideonse
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Published Date

28-08-2019

Language

English

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Faculty

Mechanical Engineering

Abstract

Currently a new small and automated dairy factory for the onsite production of cheese at farms is under devel-opment. This new factory aims at the production of cheese without any human interaction, based on the (raw) milk from cows who are milked with a milking robot. At the moment only a small test factory exists, in which human interaction is still present. Of the new factory it was unknown what configuration of processing stations and transportation vehicles would be required to produce cheese. To find the optimal configuration of this new automated dairy factory, first a data analysis was used to determine the characteristics of the milk input of the factory. Next the present test factory was analyzed and a model representing the automated dairy factory was developed. The model was used to identify the opti-mal configuration of the dairy factory. Four different farm groups were researched, per farm group one opti-mal configuration of the dairy factory was identified.

Files

Thesis_Report_P.J._Gideonse_Ce... (.pdf)
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