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An improved stochastic programming model for supply chain planning of MRO spare parts
Li, Ling1,2; Liu, Min1; Shen, Weiming1; Cheng, Guoqing2
2017
发表期刊Applied Mathematical Modelling
ISSN0307904X
卷号47页码:189-207
摘要The maintenance, repair and operation (MRO) spare parts that are vital to machine operations are playing an increasingly important role in manufacturing enterprises. MRO spare parts supply chain management planning must be coordinated to ensure spare part availability while keeping the total cost to a minimum. Due to the specificity of MRO spare parts, randomness and uncertainties in production and storage should be quantified to formulate the problem in a mathematical model. Given these considerations, this paper proposes an improved stochastic programming model for the supply chain planning of MRO spare parts. In our stochastic programming model, the following improvements are made: First, we quantify the uncertain production time capacity as a random variable with a probability distribution. Second, the upper bound of the storage cost is modeled as a multi-choice variable in the constraint. To derive the equivalent deterministic model, the Lagrange interpolating polynomial approach is used. The results of the numerical examples validate the feasibility and efficiency of the proposed model. Finally, the model is tested in the supply chain planning of continuous caster (CC) bearings. © 2017
DOI10.1016/j.apm.2017.03.031
EI入藏号20172303749982
EI主题词Stochastic models
EI分类号912 Industrial Engineering and Management - 913 Production Planning and Control ; Manufacturing - 913.5 Maintenance - 922.1 Probability Theory - 961 Systems Science
引用统计
文献类型期刊论文
条目标识符http://ir.sic.ac.cn/handle/331005/25477
专题中国科学院上海硅酸盐研究所
作者单位1.Department of Electronics and Information Engineering, Tongji University, Shanghai; 201804, China;
2.Department of Information Engineering, Jingdezheng Ceramic Institute, Jingdezheng; 333403, China
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GB/T 7714
Li, Ling,Liu, Min,Shen, Weiming,et al. An improved stochastic programming model for supply chain planning of MRO spare parts[J]. Applied Mathematical Modelling,2017,47:189-207.
APA Li, Ling,Liu, Min,Shen, Weiming,&Cheng, Guoqing.(2017).An improved stochastic programming model for supply chain planning of MRO spare parts.Applied Mathematical Modelling,47,189-207.
MLA Li, Ling,et al."An improved stochastic programming model for supply chain planning of MRO spare parts".Applied Mathematical Modelling 47(2017):189-207.
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