dc.creatorGarcía Flores, Rodolfo
dc.creatorHiggins, Andrew
dc.creatorPrestwidge, Di
dc.creatorMcFallan, Stephen
dc.date2013-09
dc.date2013
dc.date2020-04-27T18:51:18Z
dc.date.accessioned2023-07-14T19:31:10Z
dc.date.available2023-07-14T19:31:10Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/94405
dc.identifierissn:2313-9102
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7435621
dc.descriptionDespite 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format130-141
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectBeef supply chain
dc.subjectFacility location
dc.subjectNetwork ow optimisation
dc.subjectMaximal covering
dc.titleA Modelling Framework for Optimising Investment for the Australian Livestock Industry
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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