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

doi:10.13196/j.cims.2014.12.023

›› 2014, Vol. 20 ›› Issue (12): 3111-3124.DOI: 10.13196/j.cims.2014.12.023

Previous Articles Next Articles

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

Online:2014-12-31 Published:2014-12-31
Supported by:
Project supported by the National Natural Science Foundation,China(No.51105081,51475095),the Guangdong Natural Science Foundation,China(No.S2012010010016),the Guangzhou Pearl River New Star Fund Science and Technology Planning,China(No.2011J2200017),the Guangdong College Talent Import Scheme,China(No.11ZK0066),the 2014 "Thousand-Hundred-Ten" Scheme of Guangdong Education Department,and the National Key Technology R&D Program,China(No.2012BAF12B10).

基于增广拉格朗日协调的集群式供应链动态优化配置方法

聂笃宪^1,2,屈挺^1,3+,陈新¹,陈新度¹,黄国全^1,3

1.广东工业大学广东省计算机集成制造重点实验室
2.华南农业大学理学院
3.香港大学工业及制造系统工程系

基金资助:
国家自然科学基金资助项目(51105081,51475095);广东省自然科学基金资助项目(S2012010010016);广州市科信局“广州市珠江科技新星专项”资助项目(2011J2200017);广东省教育厅高等学校人才引进资助项目(11ZK0066);2014省高层次人才资助项目;国家科技支撑计划资助项目(2012BAF12B10)。

Abstract

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.

Key words: cluster supply chain, supply chain configuration, supplier selection, multidisciplinary design optimization, augmented Lagrangian coordination

摘要： 面向集群企业的独立决策需求,建立了包含水平型订单外协和垂直型零部件外购在内的通用性、分布式集群供应链优化配置模型。将具有开放式优化结构的增广拉格朗日协调方法引入该问题的求解中,建立了增广拉格朗日协调基础优化框架并给出可行的求解步骤。通过结果分析,验证了该方法对该类问题的可行性。最后,从供应链管理的角度,对订单量变化情况下的最优供应链结构进行了敏感性分析,提供了集群供应链的最优合作模式的考量方法。

关键词: 集群供应链, 配置, 供应商选择, 多学科优化, 增广拉格朗日协调

CLC Number:

TP39
TH16

聂笃宪,屈挺,陈新,陈新度,黄国全. 基于增广拉格朗日协调的集群式供应链动态优化配置方法[J]. 计算机集成制造系统, 2014, 20(12): 3111-3124.

[1]	. Sustainable supplier selection based on PD-HFLTS and BWM under multi-products purchases [J]. , 2020, 26(第2): 508-521.
[2]	. Multi-stage green supplier selection for complex product system considering synergetic effect [J]. , 2020, 26(9): 2573-2589.
[3]	. Multidisciplinary stochastic search optimization method based on Isight [J]. , 2019, 25(第3): 743-751.
[4]	. Sustainable supplier selection based on PD-HFLTS and group decision-making theory [J]. , 2018, 24(第5): 1261-1278.
[5]	. Dominant augmented Lagrangian coordination method for complex system optimization [J]. , 2017, 23(第2期): 422-432.
[6]	. Comparative research on computational experiment of service operation strategy in collaborative manufacturing [J]. , 2016, 22(第7期): 1798-1811.
[7]	. Process decomposition method of MDO based on interval uncertainty [J]. , 2016, 22(第3期): 622-629.
[8]	. Optimization and parallel allocation of cross-chain orders in cluster supply chain with Lagrange algorithm [J]. , 2015, 21(第8期): 2179-2190.
[9]	. Service charging policy of collaborative procurement in cluster supply chain [J]. , 2015, 21(第7期): 1883-1895.
[10]	. Multi-objective approach for product family design with integration of supplier selection [J]. , 2015, 21(第3期): 576-584.
[11]	. Coordination analysis on cluster supply chains under same level across-chain inventory collaboration mechanism [J]. , 2015, 21(第12期): 3282-3291.
[12]	. Solution algorithm for complex supply chain modeling and coupling oriented to integrated transportation [J]. , 2015, 21(第11期): 3041-3053.
[13]	. Universal multidisciplinary optimization architecture based on disciplinary relation matrix [J]. , 2014, 20(4): 731-.
[14]	. Process of customer collaborative supplier selection based on rough set theory and wavelet neural network [J]. , 2014, 20(12): 3150-3160.
[15]	. Enterprise service composition method for cluster supply chain [J]. , 2014, 20(10): 2599-2607.

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

基于增广拉格朗日协调的集群式供应链动态优化配置方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics