Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints

doi:10.1007/s12204-017-1858-9

上海交通大学学报（英文版） ›› 2017, Vol. 22 ›› Issue (4): 440-448.doi: 10.1007/s12204-017-1858-9

Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints

JIN Jiashan (金家善), CAI Zhiming* (蔡芝明), CHEN Yanqiao (陈砚桥)

(Military Key Laboratory for Naval Ship Power Engineering; College of Power Engineering, Naval University of Engineering, Wuhan 430033, China)

出版日期:2017-08-03 发布日期:2017-08-03
通讯作者: CAI Zhiming (蔡芝明) E-mail:caizhimin1984@sjtu.edu.cn

Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints

JIN Jiashan (金家善), CAI Zhiming* (蔡芝明), CHEN Yanqiao (陈砚桥)

(Military Key Laboratory for Naval Ship Power Engineering; College of Power Engineering, Naval University of Engineering, Wuhan 430033, China)

Online:2017-08-03 Published:2017-08-03
Contact: CAI Zhiming (蔡芝明) E-mail:caizhimin1984@sjtu.edu.cn

摘要/Abstract

摘要： Abstract: This paper investigates the gap between qualitative and quantitative constraints in spare parts stock control, with specific reference to warship spare parts support projects. A critical literature review of theoretical contributions about qualitative or quantitative factors for warship spare parts warehouse management is firstly provided, which allows to analyze the reasons for this qualitative-quantitative gap by addressing the limitations of spare parts models developed in the literature. Therefore a model including cloud model, marginal analysis and Lagrange multiplier method (CML) for study is proposed in this paper to bridge the gap. The model is used to solve the mix-constraints (both qualitative and quantitative constraints are considered) problem in a logic decision diagram particularly at the different decision nodes of the diagram. Finally, verifying test results show that the algorithm is feasible and its optimal support project meets the needs of engineering practices.

关键词: spare parts, configuration optimization, support project, qualitative-quantitative gap

Abstract: Abstract: This paper investigates the gap between qualitative and quantitative constraints in spare parts stock control, with specific reference to warship spare parts support projects. A critical literature review of theoretical contributions about qualitative or quantitative factors for warship spare parts warehouse management is firstly provided, which allows to analyze the reasons for this qualitative-quantitative gap by addressing the limitations of spare parts models developed in the literature. Therefore a model including cloud model, marginal analysis and Lagrange multiplier method (CML) for study is proposed in this paper to bridge the gap. The model is used to solve the mix-constraints (both qualitative and quantitative constraints are considered) problem in a logic decision diagram particularly at the different decision nodes of the diagram. Finally, verifying test results show that the algorithm is feasible and its optimal support project meets the needs of engineering practices.

Key words: spare parts, configuration optimization, support project, qualitative-quantitative gap

中图分类号:

U 661
TJ 83

JIN Jiashan (金家善), CAI Zhiming* (蔡芝明), CHEN Yanqiao (陈砚桥). Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints[J]. 上海交通大学学报（英文版）, 2017, 22(4): 440-448.

JIN Jiashan (金家善), CAI Zhiming* (蔡芝明), CHEN Yanqiao (陈砚桥). Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints[J]. Journal of shanghai Jiaotong University (Science), 2017, 22(4): 440-448.

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Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints

Warship Spare Parts Configuration Optimization for Stock Control: Investigating the Gap Between Qualitative and Quantitative Constraints

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