A Modelling Framework for Optimising Investment for the Australian Livestock Industry

Despite the scale and importance of the beef industry in the north of Australia, recent political and environmental disruptions have highlighted the vulnerability of the supply chain. Ensuring that the supply chain remains resilient to climatic events as well as to unexpected decisions by the stakeh...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: García Flores, Rodolfo, Higgins, Andrew, Prestwidge, Di, McFallan, Stephen
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Beef supply chain
Facility location
Network ow optimisation
Maximal covering
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/94405
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-94405
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Beef supply chain
Facility location
Network ow optimisation
Maximal covering
spellingShingle Ciencias Informáticas
Beef supply chain
Facility location
Network ow optimisation
Maximal covering
García Flores, Rodolfo
Higgins, Andrew
Prestwidge, Di
McFallan, Stephen
A Modelling Framework for Optimising Investment for the Australian Livestock Industry
topic_facet Ciencias Informáticas
Beef supply chain
Facility location
Network ow optimisation
Maximal covering
description Despite the scale and importance of the beef industry in the north of Australia, recent political and environmental disruptions have highlighted the vulnerability of the supply chain. Ensuring that the supply chain remains resilient to climatic events as well as to unexpected decisions by the stakeholders will require careful planning and investment in logistics. In this paper, we outline an integrated methodology based on tactical and operational dynamic models, for assessing the effect of changes in the supply chain. Emphasis is on the development of an optimisation model that covers the ow of cattle from properties to agistment farms and feedlots to abattoirs/ports, and the selection of rest areas (spelling yards) along the path. The model selects the optimal location of spelling yards along the road network, subject to budget, site capacity, and service requirements. We show preliminary results for a case study comprising Western Australia and the Northern Territory.
format Objeto de conferencia
Objeto de conferencia
author García Flores, Rodolfo
Higgins, Andrew
Prestwidge, Di
McFallan, Stephen
author_facet García Flores, Rodolfo
Higgins, Andrew
Prestwidge, Di
McFallan, Stephen
author_sort García Flores, Rodolfo
title A Modelling Framework for Optimising Investment for the Australian Livestock Industry
title_short A Modelling Framework for Optimising Investment for the Australian Livestock Industry
title_full A Modelling Framework for Optimising Investment for the Australian Livestock Industry
title_fullStr A Modelling Framework for Optimising Investment for the Australian Livestock Industry
title_full_unstemmed A Modelling Framework for Optimising Investment for the Australian Livestock Industry
title_sort modelling framework for optimising investment for the australian livestock industry
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/94405
work_keys_str_mv AT garciafloresrodolfo amodellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT higginsandrew amodellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT prestwidgedi amodellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT mcfallanstephen amodellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT garciafloresrodolfo modellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT higginsandrew modellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT prestwidgedi modellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
AT mcfallanstephen modellingframeworkforoptimisinginvestmentfortheaustralianlivestockindustry
bdutipo_str Repositorios
_version_ 1764820491251482625

Ejemplares similares