Integrated Model of Preventive Maintenance Policy and EPQ for Reconfigurable Manufacturing System

Abstract

Abstract: An integrated economical production quantity (EPQ) model of a typical parallelserial reconfigurable manufacturing system producing a single product was proposed, which is generalized by integrating maintenance and configuration policy with the EPQ model. Periodic preventive maintenance policy with minimal repair at failure is considered, and when the production rates change and system reliability reaches predesigned threshold, configuration action will occur. Based on these policies, a profit model was formulated including set up cost, holding cost, minimal maintenance cost, preventive maintenance cost and production cost. The objective is to maximize profit with appropriate EPQ by obtaining the optimal PM period and system reliability threshold. Finally, a numerical example was given to show that the model is reasonable.

Key words: reconfigurable manufacturing systems, minimal maintenance, preventive maintenance, reliability, economical production quantity (EPQ)

CLC Number:

TH 17

WANG Gui-Na, PAN ErShun. Integrated Model of Preventive Maintenance Policy and EPQ for Reconfigurable Manufacturing System[J]. Journal of Shanghai Jiaotong University, 2012, 46(05): 712-716.

References

［1］Koren Y, Heisel U, Jovane F, et al. Reconfigurable manufacturing systems ［J］.CIRP AnnalsManufacturing Technology，1999, 48 (2): 527540.

［2］AbdelMalek L L. Effect of robots with overlapping envelopes on the performance of flexible transfer lines ［J］. IIE Transactions，1988, 20 (2)： 213222.

［3］蔡宗琰，严新民. 可重构制造系统重构算法的实例研究［J］. 计算机辅助设计及图形学学报, 2003，15 (2)： 162166.

CAI Zongyan, YAN Xinmin. Case study on reconfiguration algorithm for reconfigurable manufacturing ［J］. Journal of Computer Aided Design and Computer Graphics, 2003，15 (2): 162166.

［4］Zhou J, Djurdjanovic D, Julie I, et al. Integrated reconfiguration and agebased preventive maintenance decision making ［J］. IIE Transactions, 2007，39 (12): 10851102.

［5］Lin Chensin, Chen Chihhua, Kroll Dennis E. Integrated productioninventory models for imperfect production processes under inspection schedules ［J］. Computer and Industrial Engineering, 2003 ，44 (4): 633650.

［6］Liao G L, Chen Y H, Sheu S H. Optimal economic production quantity policy for imperfect process with imperfect repair and maintenance ［J］. European Journal of Operational Research, 2009, 195 (2): 348357.

［7］廖雯竹，潘尔顺，奚立峰. 基于设备可靠性的动态预防维护策略［J］. 上海交通大学学报, 2009, 43 (８): 13321336.

LIAO Wenzhu, PAN Ershun, XI Lifeng. Research on dynamic predictive maintenance policy based on system reliability ［J］. Joural of Shanghai Jiaotong University, 2009, 43(８): 13321336.

［8］韩帮军, 范秀敏, 马登哲, 等.生产系统设备预防性维修控制策略的仿真优化［J］.计算机辅助设计与图形学学报， 2004, 10 (7): 853857.

HAN Bangjun, FAN Xiumin, MA Dengzhe, et al. Optimization of preventive maintenance policy of manufacturing equipment based on simulation ［J］. Journal of Computer Aided Design and Computer Graphics, 2004, 10 (7): 853857.

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