An improved stochastic programming model for supply chain planning of MRO spare parts

doi:10.1016/j.apm.2017.03.031

	An improved stochastic programming model for supply chain planning of MRO spare parts
	Li, Ling 1,2; Liu, Min 1; Shen, Weiming 1; Cheng, Guoqing 2
刊名	Applied Mathematical Modelling
	2017
卷号	47 页码:189-207
ISSN号	0307904X
DOI	10.1016/j.apm.2017.03.031
英文摘要	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
内容类型	期刊论文
源URL	[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
推荐引用方式 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.