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A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters
Li, Ling1,2; Liu, Min1; Shen, Weiming1; Cheng, Guoqing2
2017
Source PublicationMathematical and Computer Modelling of Dynamical Systems
ISSN13873954
Volume23Issue:2Pages:196-221
AbstractThis paper studies the uncertain and random factors in real-life spare parts supply networks which are abstract and complex dynamical systems, then quantifies these factors in a mathematical model. To seek a dynamic spare parts ordering and pricing policy from a distributor’s viewpoint, stochastic programming with multi-choice parameters is applied to formulate this objective optimization problem. In our model, the optimal objective is to maximize the total expected profit of the members of the spare parts supply network, and the decision variables are distributor’s selling price and ordering quantity in different periods. By using the methods of expectation operator of the fuzzy variable, Lagrange interpolating polynomial and global criteria, the model is solved, and the optimal ordering and pricing policy is obtained. The results of the numerical example and contrast experiments validate the feasibility and efficiency of the proposed model. Some significant conclusions drawn from the results of parameter sensitivity analysis can be referred by management practitioners. This general model can be applied in other fields of supply chain management, where random and uncertain factors need to be considered. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
DOI10.1080/13873954.2016.1242140
EI Accession Number20164202911453
EI KeywordsStochastic systems
EI Classification Number911 Cost and Value Engineering ; Industrial Economics - 912 Industrial Engineering and Management - 913 Production Planning and Control ; Manufacturing - 921 Mathematics - 961 Systems Science
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Document Type期刊论文
Identifierhttp://ir.sic.ac.cn/handle/331005/25862
Collection中国科学院上海硅酸盐研究所
Affiliation1.Lab of Intelligent Maintenance System & Service, School of Electronic and Information Engineering, Tongji University, Shanghai, China;
2.School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, China
Recommended Citation
GB/T 7714
Li, Ling,Liu, Min,Shen, Weiming,et al. A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters[J]. Mathematical and Computer Modelling of Dynamical Systems,2017,23(2):196-221.
APA Li, Ling,Liu, Min,Shen, Weiming,&Cheng, Guoqing.(2017).A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters.Mathematical and Computer Modelling of Dynamical Systems,23(2),196-221.
MLA Li, Ling,et al."A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters".Mathematical and Computer Modelling of Dynamical Systems 23.2(2017):196-221.
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