Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination

Du Xian Nie; Ting Qu; Xin Chen; Xin Du Chen; Guo Quan Huang

doi:10.13196/j.cims.2014.12.023

Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination

Du Xian Nie, Ting Qu, Xin Chen, Xin Du Chen, Guo Quan Huang

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Abstract

Oriented to the decision autonomy of cluster enterprises, a generic Cluster Supply Chain Configuration (CSCC) model comprising horizontal and vertical selection was established. Augmented Lagrangian Coordination (ALC) which supported open-structure optimization was applied for solving the problem. ALC solution framework was constructed and a feasible solution procedure was provided. Through the result analysis, the effectiveness of ALC for solving CSCC problem was verified. From the perspective of supply chain management, a set of sensitivity analysis for optimal supply chain structure was conducted to provide an evaluation method for the optimal cluster supply chain.

Original language	English
Pages (from-to)	3111-3124
Number of pages	14
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	20
Issue number	12
DOIs	https://doi.org/10.13196/j.cims.2014.12.023
Publication status	Published - 1 Dec 2014
Externally published	Yes

Keywords

Augmented Lagrangian coordination
Cluster supply chain
Multidisciplinary design optimization
Supplier selection
Supply chain configuration

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

More information

10.13196/j.cims.2014.12.023

Cite this

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title = "Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination",

abstract = "Oriented to the decision autonomy of cluster enterprises, a generic Cluster Supply Chain Configuration (CSCC) model comprising horizontal and vertical selection was established. Augmented Lagrangian Coordination (ALC) which supported open-structure optimization was applied for solving the problem. ALC solution framework was constructed and a feasible solution procedure was provided. Through the result analysis, the effectiveness of ALC for solving CSCC problem was verified. From the perspective of supply chain management, a set of sensitivity analysis for optimal supply chain structure was conducted to provide an evaluation method for the optimal cluster supply chain.",

keywords = "Augmented Lagrangian coordination, Cluster supply chain, Multidisciplinary design optimization, Supplier selection, Supply chain configuration",

author = "Nie, {Du Xian} and Ting Qu and Xin Chen and Chen, {Xin Du} and Huang, {Guo Quan}",

year = "2014",

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doi = "10.13196/j.cims.2014.12.023",

language = "English",

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journal = "Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS",

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Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination. / Nie, Du Xian; Qu, Ting; Chen, Xin et al.
In: Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, Vol. 20, No. 12, 01.12.2014, p. 3111-3124.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination

AU - Nie, Du Xian

AU - Qu, Ting

AU - Chen, Xin

AU - Chen, Xin Du

AU - Huang, Guo Quan

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Oriented to the decision autonomy of cluster enterprises, a generic Cluster Supply Chain Configuration (CSCC) model comprising horizontal and vertical selection was established. Augmented Lagrangian Coordination (ALC) which supported open-structure optimization was applied for solving the problem. ALC solution framework was constructed and a feasible solution procedure was provided. Through the result analysis, the effectiveness of ALC for solving CSCC problem was verified. From the perspective of supply chain management, a set of sensitivity analysis for optimal supply chain structure was conducted to provide an evaluation method for the optimal cluster supply chain.

AB - Oriented to the decision autonomy of cluster enterprises, a generic Cluster Supply Chain Configuration (CSCC) model comprising horizontal and vertical selection was established. Augmented Lagrangian Coordination (ALC) which supported open-structure optimization was applied for solving the problem. ALC solution framework was constructed and a feasible solution procedure was provided. Through the result analysis, the effectiveness of ALC for solving CSCC problem was verified. From the perspective of supply chain management, a set of sensitivity analysis for optimal supply chain structure was conducted to provide an evaluation method for the optimal cluster supply chain.

KW - Augmented Lagrangian coordination

KW - Cluster supply chain

KW - Multidisciplinary design optimization

KW - Supplier selection

KW - Supply chain configuration

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DO - 10.13196/j.cims.2014.12.023

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VL - 20

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JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS

IS - 12

ER -

Dynamic optimal configuration method for cluster supply chains based on augmented Lagrange coordination

Abstract

Keywords

ASJC Scopus subject areas

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