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Article: Risk Hedging for Production Planning

TitleRisk Hedging for Production Planning
Authors
Keywordsproduction risk management
data analytics
hedging strategy
Issue Date2021
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956
Citation
Production and Operations Management, 2021, v. 30 n. 6, p. 1825-1837 How to Cite?
AbstractTraditional production planning is primarily a quantity or capacity decision, which must be made at the beginning of a planning horizon before production starts. Adding to this decision a real‐time control, a risk‐hedging strategy carried out throughout the horizon can better mitigate the risk involved in demand volatility. We demonstrate how this can be done in terms of jointly optimizing the capacity and the hedging decisions, addressing both the mean‐variance and the shortfall objectives. Solution techniques, results, and insights are highlighted. In particular, we illustrate that our approach readily accommodates data analytics and explicitly quantifies the improvement to the efficient frontier contributed by hedging.
Persistent Identifierhttp://hdl.handle.net/10722/281204
ISSN
2021 Impact Factor: 4.638
2020 SCImago Journal Rankings: 3.279
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, L-
dc.contributor.authorYao, DD-
dc.date.accessioned2020-03-09T09:51:31Z-
dc.date.available2020-03-09T09:51:31Z-
dc.date.issued2021-
dc.identifier.citationProduction and Operations Management, 2021, v. 30 n. 6, p. 1825-1837-
dc.identifier.issn1059-1478-
dc.identifier.urihttp://hdl.handle.net/10722/281204-
dc.description.abstractTraditional production planning is primarily a quantity or capacity decision, which must be made at the beginning of a planning horizon before production starts. Adding to this decision a real‐time control, a risk‐hedging strategy carried out throughout the horizon can better mitigate the risk involved in demand volatility. We demonstrate how this can be done in terms of jointly optimizing the capacity and the hedging decisions, addressing both the mean‐variance and the shortfall objectives. Solution techniques, results, and insights are highlighted. In particular, we illustrate that our approach readily accommodates data analytics and explicitly quantifies the improvement to the efficient frontier contributed by hedging.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956-
dc.relation.ispartofProduction and Operations Management-
dc.rightsThis is the peer reviewed version of the following article: Production and Operations Management, 2021, v. 30 n. 6, p. 1825-1837 which has been published in final form at https://doi.org/10.1111/poms.13103. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectproduction risk management-
dc.subjectdata analytics-
dc.subjecthedging strategy-
dc.titleRisk Hedging for Production Planning-
dc.typeArticle-
dc.identifier.emailWang, L: lwang98@hku.hk-
dc.identifier.authorityWang, L=rp02321-
dc.description.naturepostprint-
dc.identifier.doi10.1111/poms.13103-
dc.identifier.scopuseid_2-s2.0-85074065398-
dc.identifier.hkuros309344-
dc.identifier.volume30-
dc.identifier.issue6-
dc.identifier.spage1825-
dc.identifier.epage1837-
dc.identifier.isiWOS:000490415300001-
dc.publisher.placeUnited States-
dc.identifier.issnl1059-1478-

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