SIC OpenIR
An improved stochastic programming model for supply chain planning of MRO spare parts
Li, Ling1,2; Liu, Min1; Shen, Weiming1; Cheng, Guoqing2
2017
Source PublicationApplied Mathematical Modelling
ISSN0307904X
Volume47Pages:189-207
AbstractThe 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 Accession Number20172303749982
EI KeywordsStochastic models
EI Classification Number912 Industrial Engineering and Management - 913 Production Planning and Control ; Manufacturing - 913.5 Maintenance - 922.1 Probability Theory - 961 Systems Science
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sic.ac.cn/handle/331005/25477
Collection中国科学院上海硅酸盐研究所
Affiliation1.Department of Electronics and Information Engineering, Tongji University, Shanghai; 201804, China;
2.Department of Information Engineering, Jingdezheng Ceramic Institute, Jingdezheng; 333403, China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Ling]'s Articles
[Liu, Min]'s Articles
[Shen, Weiming]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Ling]'s Articles
[Liu, Min]'s Articles
[Shen, Weiming]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Ling]'s Articles
[Liu, Min]'s Articles
[Shen, Weiming]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.