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Conference Paper: A mixed integer programming model to evaluate the impact of business factors on global manufacturing relocation decisions

TitleA mixed integer programming model to evaluate the impact of business factors on global manufacturing relocation decisions
Authors
KeywordsGlobal manufacturing
Supply chain
Relocation decision
Mixed integer programming
Pearl River Delta
Issue Date2009
PublisherIEEE.
Citation
The 39th International Conference on Computers & Industrial Engineering (CIE39), Troyes, France, 6-9 July 2009. In Proceedings of the CIE39, 2009, p. 390-395 How to Cite?
AbstractIn recent years, dramatic changes in business factors have triggered a trend of manufacturing relocation out of 'The World's Factory', which is the Pearl River Delta (PRO), China. Global manufacturers in PRO have been facing unprecedented operating cost pressure, due to RI1B currency appreciation, rising labor cost, highly volatile oil price, tax rebate adjustment and industry policy changes. This paper presents a Mixed Integer Programming (MIP) model, to evaluate the impact of business factors on global manufacturing relocation decisions. Objective function of the MIP model is to minimize Total Landed Cost (TLC) for international markets. Application of the MIP model is illustrated through a case study with a hypothetical footwear manufacturer. Managerial implications on supply chain dynamics and regional economy are derived from modeling results and analysis.
Persistent Identifierhttp://hdl.handle.net/10722/129744
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Aen_US
dc.contributor.authorHuang, GQen_US
dc.date.accessioned2010-12-23T08:41:36Z-
dc.date.available2010-12-23T08:41:36Z-
dc.date.issued2009en_US
dc.identifier.citationThe 39th International Conference on Computers & Industrial Engineering (CIE39), Troyes, France, 6-9 July 2009. In Proceedings of the CIE39, 2009, p. 390-395en_US
dc.identifier.isbn978-1-4244-4136-5-
dc.identifier.urihttp://hdl.handle.net/10722/129744-
dc.description.abstractIn recent years, dramatic changes in business factors have triggered a trend of manufacturing relocation out of 'The World's Factory', which is the Pearl River Delta (PRO), China. Global manufacturers in PRO have been facing unprecedented operating cost pressure, due to RI1B currency appreciation, rising labor cost, highly volatile oil price, tax rebate adjustment and industry policy changes. This paper presents a Mixed Integer Programming (MIP) model, to evaluate the impact of business factors on global manufacturing relocation decisions. Objective function of the MIP model is to minimize Total Landed Cost (TLC) for international markets. Application of the MIP model is illustrated through a case study with a hypothetical footwear manufacturer. Managerial implications on supply chain dynamics and regional economy are derived from modeling results and analysis.-
dc.languageengen_US
dc.publisherIEEE.en_US
dc.relation.ispartofInternational Conference on Computers & Industrial Engineering (CIE39) Proceedingsen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsInternational Conference on Computers & Industrial Engineering Proceedings. Copyright © IEEE.-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectGlobal manufacturing-
dc.subjectSupply chain-
dc.subjectRelocation decision-
dc.subjectMixed integer programming-
dc.subjectPearl River Delta-
dc.titleA mixed integer programming model to evaluate the impact of business factors on global manufacturing relocation decisionsen_US
dc.typeConference_Paperen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-4136-5&volume=&spage=390&epage=395&date=2009&atitle=A+mixed+integer+programming+model+to+evaluate+the+impact+of+business+factors+on+global+manufacturing+relocation+decisions-
dc.identifier.emailZhang, A: abraham.zhang@gmail.comen_US
dc.identifier.emailHuang, GQ: gqhuang@hkucc.hku.hken_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICCIE.2009.5223739-
dc.identifier.scopuseid_2-s2.0-77956110231-
dc.identifier.hkuros178663en_US
dc.identifier.hkuros160361-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956110231&selection=ref&src=s&origin=recordpage-
dc.identifier.spage390en_US
dc.identifier.epage395en_US
dc.identifier.scopusauthoridZhang, A=35147462100-
dc.identifier.scopusauthoridHuang, GQ=7403425048-
dc.customcontrol.immutablesml 151116 - merged-

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