DocumentCode
2738067
Title
Optimization of (R;Q) policies for two-level distribution inventory systems with operating flexibility
Author
Peng Li ; Haoxun Chen
Author_Institution
Fac. of Econ. & Manage., Xian Univ. of Technol. (XUT), Jinhua, China
fYear
2015
fDate
9-11 April 2015
Firstpage
603
Lastpage
606
Abstract
Guaranteed-Service Approach (GSA) was used to set safety stocks for multi-echelon inventory systems. This approach assumes that each stock can use operating flexibility measures such as expediting and overtime to fulfill excessive customer demand superior to a bound as a supplement to its safety stock. In this paper, we consider a two-level distribution inventory system with Poisson final demand and fixed costs at each stock controlled by a (R, Q) policy. We use the GSA to optimize the policy with the consideration of operating flexibility costs and fixed order costs. A deterministic mathematical programming model is established for the problem. This model is solved by a line search for finding the optimal target cycle service level to customer and an iterative procedure for solving the model. Numerical experiments on randomly generated instances demonstrate the efficiency of the procedure.
Keywords
dynamic programming; stock control; (R, Q) policy; GSA; Poisson final demand; deterministic mathematical programming model; fixed order cost; guaranteed-service approach; iterative procedure; line search; multiechelon inventory system; operating flexibility cost; optimal target cycle service level; safety stock; two-level distribution inventory syste; two-level distribution inventory system; Linear programming; Mathematical model; Numerical models; Optimization; Safety; Silicon; Supply chains; (R, Q) policy; dynamic programming; guaranteed-service approach; inventory management; two-level distribution systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control (ICNSC), 2015 IEEE 12th International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICNSC.2015.7116106
Filename
7116106
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