DocumentCode
3152632
Title
A mixed integer programming model to evaluate the impact of business factors on global manufacturing relocation decisions
Author
Zhang, Angela ; Huang, George Q.
Author_Institution
Dept. of Ind. & Manuf. Syst. Eng., Univ. of Hong Kong, Hong Kong, China
fYear
2009
fDate
6-9 July 2009
Firstpage
390
Lastpage
395
Abstract
In recent years, dramatic changes in business factors have triggered a trend of manufacturing relocation out of ldquoThe World´s Factoryrdquo, which is the pearl river delta (PRD), China. Global manufacturers in PRD have been facing unprecedented operating cost pressure, due to RMB 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.
Keywords
cost reduction; integer programming; manufacturing systems; supply chain management; MIP model; PRD; RMB currency appreciation; TLC; business factor; footwear manufacturer; global manufacturing relocation decision; mixed integer programming model; pearl river delta; rising labor cost; supply chain dynamics; tax rebate; total landed cost minimization; volatile oil price; Cost function; Footwear industry; Linear programming; Manufacturing industries; Petroleum; Pulp manufacturing; Rivers; Supply chain management; Supply chains; Virtual manufacturing; Global Manufacturing; Mixed Integer Programming; Pearl River Delta; Relocation Decision; Supply Chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location
Troyes
Print_ISBN
978-1-4244-4135-8
Electronic_ISBN
978-1-4244-4136-5
Type
conf
DOI
10.1109/ICCIE.2009.5223739
Filename
5223739
Link To Document