Simulation-Based Optimization on RFID-Enabled Push/Pull Control Strategy for Supply Chain

doi:10.12068/j.issn.1005-3026.2015.03.008

Abstract

Abstract: The research on control methods of multi-echelon inventory systems is very important in reducing inventory cost， improving service level and enhancing the key competitive abilities. Radio frequency identification (RFID) technique provides an effective way in the innovation of inventory control strategies. The Push/Pull control strategy based on RFID was applied to multi-echelon inventory of supply chain， and a three-echelon inventory of supply chain was exemplified and eight kinds of RFID-enabled hybrid Push/Pull control strategies were designed. These strategies are optimized using the simulation-based particle-swarm optimization method. The results demonstrate the feasibility and the effectiveness of the method. The simulation results after optimization show that the hybrid Push/Pull control strategy that manufactures are controlled by the Push strategy， the distributions and retailers are controlled by the Pull strategy performs best among the eight kinds of strategies.

Key words: RFID, multi-echelon network inventory, Push/Pull, simulation-based optimization, particle swarm optimization

CLC Number:

TP319.9

LI Guo-jia， WANG Ding-wei. Simulation-Based Optimization on RFID-Enabled Push/Pull Control Strategy for Supply Chain[J]. Journal of Northeastern University Natural Science, 2015, 36(3): 336-341.

References

[1]Moinzadeh K.A multi-echelon inventory system with information exchange［J］.Management Science，2002，48(3):414-426.
[2]赵晓煜，汪定伟.供应链中二级分销网络的设计优化模型［J］.管理科学学报，2001，4(4):22-26.(Zhao Xiao-yu，Wang Ding-wei.The design and optimization model of secondary distribution network in supply chain［J］.Journal of Management Science in China，2001，4(4):22-26.)
[3]Kiesmüller G P，de Kok T G ，Smits S R，et al.Evaluation of divergent N-echelon (s，nQ)-policies under compound renewal demand［J］.OR Spectrum，2004，26(4):547-577.
[4]Schneider H.Effect of service levels on order-points and order-levels in inventory models［J］.International Journal of Production Research，1981，19(6):615-631.
[5]Lagodimos A G，Koukoumialos S.Service performance of two-echelon supply chains under linear rationing［J］.International Journal of Production Economics，2008，112(2):869-884.
[6]Wang D W，Xu C G.Hybrid Push/Pull control strategy simulation and its applications［J］.Production Planning and Control，1997，8(2):142-151.
[7]Lee Y H.Supply chain model for the semiconductor industry of global market［J］.Journal of Systems Integration，2000，10(3):189-206.
[8]Ahn H S，Kaminsky P.Production and distribution policy in a two-stage stochastic push-pull supply chain ［J］.IIE Transactions，2005，37(7):609-621.
[9]Cachon G P.The allocation of inventory risk in a supply chain:push， pull，and advance-purchase discount contracts［J］.Management Science，2004，50(2):222-238.
[10]Cochran J K，Ha K.Optimal design of a hybrid push/pull serial manufacturing system with multiple part types［J］.International Journal of Production Research，2008，46(4):949-965.
[11]贺成志，马浩军，彭训贵.推拉集成式生产管理模式在MES中的应用［J］.计算机应用，2006 (sup2):330-332.(He Cheng-zhi，Ma Hao-jun，Peng Xun-gui.The model of push-pull integrated production management model in the application of MES ［J］.Computer Applications，2006 (sup2):330-332.)
[12]Ballestinb F，PEREZa á.Static and dynamic policies with RFID for the scheduling of retrieval and storage warehouse operations［J］.Computers & Industrial Engineering，2013，66(49):696-709.
[13]尹作重，杜峻，李晨希，等.RFID在供应链信息集成中的应用［J］.制造自动化，2013，35(4):14-16.(Yin Zuo-zhong，Dun Jun，Li Chen-xi，et al.RFID in the supply chain information integration［J］.Manufacturing Automation，2013，35(4):14-16.)
[14]李怡娜，叶飞，徐学军.可控提前期供应链库存优化的费用分担模型［J］.系统工程学报，2009，24(1):9-17.(Li Yi-na，Ye Fei，Xu Xue-jun.Cost allocation model for optimizing supply chain inventory with controllable lead time［J］.Journal of Systems Engineering，2009，24(1):9-17.)
[15]高镜媚，汪定伟.三级网状随机性库存控制策略的仿真优化［J］.控制理论与应用，2009，26(11):1218-1224.(Gao Jing-mei，Wang Ding-wei.Simulation-based optimization on three-echelon network stochastic inventory control policies［J］.Control Theory & Applications，2009，26(11):1218-1224.)
[16]李永先，胡祥培，熊英.物流系统仿真研究综述［J］.系统仿真学报，2007，19(7):1412-1416.(Li Yong-xian，Hu Xiang-pei，Xiong Ying.Overview on logistics system simulation［J］.Journal of System Simulation，2007，19(7):1412-1416.)
[17]田俊峰，杨梅.随机需求条件下生产-库存系统优化与仿真［J］.系统仿真学报，2004，16(11):2522-2524.(Tian Jun-feng，Yang Mei.Optimization and simulation of production-inventory system with stochastic demand［J］.Journal of System Simulation，2004，16(11):2522-2524.)
[18]李新，王宛山，韩洋，等.一种柔性供应链仿真系统的研究与实现［J］.系统仿真学报，2013，25(6):1270-1278.(Li Xin，Wang Wan-shan，Han Yang，et al.Novel flexible supply chain simulation system［J］.Journal of System Simulation，2013，25(6):1270-1278.)