A multistage stochastic programming model for the New Zealand dairy industry

Guan, Ziming; Philpott, Andrew

dc.contributor.author	Guan, Ziming	en
dc.contributor.author	Philpott, Andrew	en
dc.date.accessioned	2016-03-30T03:25:40Z	en
dc.date.issued	2011-12	en
dc.identifier.citation	International Journal of Production Economics, 2011, 134 (2), pp. 289 - 299 (11)	en
dc.identifier.issn	0925-5273	en
dc.identifier.uri	http://hdl.handle.net/2292/28483	en
dc.description.abstract	This paper presents an application of multistage stochastic programming to a production planning problem for Fonterra, a leading company in the New Zealand dairy industry, taking into account uncertain milk supply, price–demand curves and contracting. We describe a model for Fonterra's supply chain, and a model for uncertain milk supply. We then present a multistage stochastic quadratic programming model and a decomposition algorithm to compute an optimal sales policy, which is tested in simulation against a deterministic policy.	en
dc.language	English	en
dc.relation.ispartofseries	International Journal of Production Economics	en
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0925-5273/ https://www.elsevier.com/about/company-information/policies/sharing	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.subject	Multistage stochastic quadratic programming	en
dc.subject	Price-demand curve	en
dc.subject	Sampling	en
dc.subject	Uncertain supply	en
dc.subject	Decomposition	en
dc.title	A multistage stochastic programming model for the New Zealand dairy industry	en
dc.type	Journal Article	en
dc.identifier.doi	10.1016/j.ijpe.2009.11.003	en
pubs.issue	2	en
pubs.begin-page	289	en
pubs.volume	134	en
pubs.author-url	http://www.sciencedirect.com/science/article/pii/S0925527309004058	en
pubs.end-page	299	en
pubs.publication-status	Published	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/RestrictedAccess	en
pubs.subtype	Article	en
pubs.elements-id	228382	en
pubs.org-id	Engineering	en
pubs.org-id	Engineering Science	en
pubs.record-created-at-source-date	2010-11-19	en