Flexible design-planning of supply chain networks

Nowadays market competition is essentially associated to supply chain (SC) improvement. Therefore, the locus of value creation has shifted to the chain network. The strategic decision of determining the optimal SC network structure plays a vital role in the later optimization of SC operations. This...

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Vydáno v:AIChE journal Ročník 55; číslo 7; s. 1736 - 1753
Hlavní autoři: Laínez, José Miguel, Kopanos, Georgios, Espuña, Antonio, Puigjaner, Luis
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2009
Wiley
American Institute of Chemical Engineers
Témata:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
Competition
Design
Exact sciences and technology
flexibility
Market analysis
MILP
network design
Retrofitting
Supply chain management
Supply chains
Design
MILP
supply chain management
Markets
Linear programming
Mixed integer programming
Planning
network design
Flexibility
Modeling
Optimization
Mathematical programming
ISSN:0001-1541, 1547-5905
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Shrnutí:Nowadays market competition is essentially associated to supply chain (SC) improvement. Therefore, the locus of value creation has shifted to the chain network. The strategic decision of determining the optimal SC network structure plays a vital role in the later optimization of SC operations. This work focuses on the design and retrofit of SCs. Traditional approaches available in literature addressing this problem usually utilize as departing point a rigid predefined network structure which may restrict the opportunities of adding business value. Instead, a novel flexible formulation approach which translates a recipe representation to the SC environment is proposed to solve the challenging design-planning problem of SC networks. The resulting mixed integer linear programming model is aimed to achieve the best NPV as key performance metric. The potential of the presented approach is highlighted through illustrative examples of increasing complexity, where results of traditional rigid approaches and those offered by the flexible framework are compared. The implications of exploiting this potential flexibility to improve the SC performance are highlighted and are the subject of our further research work. © 2009 American Institute of Chemical Engineers AIChE J, 2009
Bibliografie:http://dx.doi.org/10.1002/aic.11942
ArticleID:AIC11942
Spanish Ministry of Education and Science (FPU grants)
"Generalitat de Catalunya" (FI programs)
DPI - No. 2006-05673; No. PRISM-MRTN-CT-2004-512233
istex:2FC9AAA705E73341DC9B8B93C7B6291615A583D6
ark:/67375/WNG-FSKK3Z21-T
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ISSN:0001-1541
1547-5905
DOI:10.1002/aic.11942