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A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison

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A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison. / Li, H; Hendry, L; Teunter, R H.
In: International Journal of Production Economics, Vol. 121, No. 2, 2009, p. 505-518.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Li, H, Hendry, L & Teunter, RH 2009, 'A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison', International Journal of Production Economics, vol. 121, no. 2, pp. 505-518. https://doi.org/10.1016/j.ijpe.2007.02.033

APA

Li, H., Hendry, L., & Teunter, R. H. (2009). A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison. International Journal of Production Economics, 121(2), 505-518. https://doi.org/10.1016/j.ijpe.2007.02.033

Vancouver

Li H, Hendry L, Teunter RH. A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison. International Journal of Production Economics. 2009;121(2):505-518. doi: 10.1016/j.ijpe.2007.02.033

Author

Li, H ; Hendry, L ; Teunter, R H. / A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison. In: International Journal of Production Economics. 2009 ; Vol. 121, No. 2. pp. 505-518.

Bibtex

@article{c02768fe35c5450299a9afbe44243212,
title = "A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison",
abstract = "In this paper, a capacity allocation problem is discussed based on a more complex supply chain than has been typically considered in previous quantitative modelling studies. This study analyses an integrated supply chain operation from raw material purchasing to final product distribution. The aim is to optimize the allocation of capacities among different facilities and product items. In this paper, a mixed integer programming model with dynamic characteristics is presented first, and then alternative solution procedures are introduced. The solution procedures include the development of a decomposition heuristic and an integrated heuristic algorithm. A computation study compares the solution procedures and uses sensitivity analysis to show that the heuristics work well. Thus, by adequately modelling a more realistic sized supply chain problem, this study represents an important advance in supply chain modelling research.",
author = "H Li and L Hendry and Teunter, {R H}",
year = "2009",
doi = "10.1016/j.ijpe.2007.02.033",
language = "English",
volume = "121",
pages = "505--518",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier Science B.V.",
number = "2",

}

RIS

TY - JOUR

T1 - A strategic capacity allocation model for a complex supply chain: formulation and solution approach comparison

AU - Li, H

AU - Hendry, L

AU - Teunter, R H

PY - 2009

Y1 - 2009

N2 - In this paper, a capacity allocation problem is discussed based on a more complex supply chain than has been typically considered in previous quantitative modelling studies. This study analyses an integrated supply chain operation from raw material purchasing to final product distribution. The aim is to optimize the allocation of capacities among different facilities and product items. In this paper, a mixed integer programming model with dynamic characteristics is presented first, and then alternative solution procedures are introduced. The solution procedures include the development of a decomposition heuristic and an integrated heuristic algorithm. A computation study compares the solution procedures and uses sensitivity analysis to show that the heuristics work well. Thus, by adequately modelling a more realistic sized supply chain problem, this study represents an important advance in supply chain modelling research.

AB - In this paper, a capacity allocation problem is discussed based on a more complex supply chain than has been typically considered in previous quantitative modelling studies. This study analyses an integrated supply chain operation from raw material purchasing to final product distribution. The aim is to optimize the allocation of capacities among different facilities and product items. In this paper, a mixed integer programming model with dynamic characteristics is presented first, and then alternative solution procedures are introduced. The solution procedures include the development of a decomposition heuristic and an integrated heuristic algorithm. A computation study compares the solution procedures and uses sensitivity analysis to show that the heuristics work well. Thus, by adequately modelling a more realistic sized supply chain problem, this study represents an important advance in supply chain modelling research.

U2 - 10.1016/j.ijpe.2007.02.033

DO - 10.1016/j.ijpe.2007.02.033

M3 - Journal article

VL - 121

SP - 505

EP - 518

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 2

ER -