Preventive Maintenance Policy for Series Production Systems with Intermediate Buffers

Abstract

Abstract:

Abstract： To ensure the throughput and reduce the operation cost of per unit time, a model for decisionmakings of preventive maintenances was proposed for series production systems with buffers. First, by analyzing the variation of buffer inventories, a periodic maintenance policy was proposed by taking into account the intermediate buffer and failure of upstream and downstream equipment. Based on the descriptions mentioned above, and in view of the characteristics of series production systems, a maintenance cost model of decisionmakings was established with an objective of minimizing total cost of the system over a defined time horizon. Finally, an evolution algorithm to solve the optimal buffer inventories and maintenance time point was built. The results indicate that the model is valid and practical.

Key words: series system, preventive maintenance, buffer, cost, optimization

CLC Number:

TP 391

YU Jiadi,ZHOU Binghai. Preventive Maintenance Policy for Series Production Systems with Intermediate Buffers[J]. Journal of Shanghai Jiaotong University, 2014, 48(12): 1694-1699.

References

［1］Ribeiro M A, Silveira J L, Qassim R Y. Joint optimisation of maintenance and buffer size in a manufacturing system［J］. European Journal of Operational Research, 2007, 176(1): 405413.

［2］Liao G L. Optimum policy for a production system with major repair and preventive maintenance ［J］. Applied Mathematical Modelling, 2012, 36(11): 54085417.

［3］Chelbi A, AitKadi D. Analysis of a production/inventory system with randomly failing production unit submitted to regular preventive maintenance ［J］. European Journal of Operational Research, 2004, 156(3): 712718.

［4］Pavitsos A, Kyriakidis E G. Markov decision models for the optimal maintenance of a production unit with an upstream buffer ［J］. Computers & Operations Research, 2009, 36(6): 19932006.

［5］周晓军, 奚立峰, 李杰. 一种基于可靠性的设备顺序预防性维护模型［J］. 上海交通大学学报, 2005, 39(12): 20442047.

ZHOU Xiaojun, XI Lifeng, LI Jie. A reliabilitybased sequential preventive maintenance model ［J］. Journal of Shanghai Jiaotong University, 2005, 39(12): 20442047.

［6］周晓军, 沈炜冰, 奚立峰, 等. 一种考虑修复非新的多设备串行系统机会维护动态决策模型［J］. 上海交通大学学报, 2007, 41(5): 769773.

ZHOU Xiaojun, SHEN Weibing, XI Lifeng, et al. A Dynamic opportunistic preventive maintenance model for a multiunit series system with consideration of imperfect maintenance effect［J］. Journal of Shanghai Jiaotong University, 2007, 41(5):769773.

［7］Dimitrakos T D, Kyriakidis E G. A semiMarkov decision algorithm for the maintenance of a production system with buffer capacity and continuous repair times ［J］. International Journal of Production Economics, 2008, 111(2): 752762.

［8］Gan S Y, Zhang Z S, Zhou Y F, et al. Intermediate buffer analysis for a production system ［J］. Applied Mathematical Modelling, 2013, 37(2021): 87858795.

［9］Gan S, Zhang Z, Zhou Y. An optimal policy for maintenance, intermediate buffer, and spare parts［C］//Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on. Chengdu, China: IEEE, 2013: 643648.

［10］Karamatsoukis C C, Kyriakidis E G. Optimal maintenance of a productioninventory system with idle periods ［J］. European Journal of Operational Research, 2009, 196(2): 744751.

［11］Karamatsoukis C C, Kyriakidis E G. Optimal maintenance of two stochastically deteriorating machines with an intermediate buffer ［J］. European Journal of Operational Research, 2010, 207(1): 297308.

［12］Karamatsoukis C C, Kyriakidis E G. Optimal maintenance of a production system with L intermediate buffers ［J］. Mathematical Problems in Engineering, 2012， 2012： Article ID 673864.

[1]	FU Yang, DING Zhiyin, MI Yang. Frequency Control Strategy for Interconnected Power Systems with Time Delay Considering Optimal Energy Storage Regulation [J]. Journal of Shanghai Jiao Tong University, 2022, 56(9): 1128-1138.
[2]	WANG Hong, QI Yankun, HE Yong, YANG Guojun. Multi-Stage Opportunistic Maintenance Decision-Making for Electric Multiple Unit Systems with Bi-Objective Optimization [J]. Journal of Shanghai Jiao Tong University, 2022, 56(9): 1276-1284.
[3]	HUANG Yuhao, HAN Chao, ZHAO Minghui, DU Qiankun, WANG Shigang. Multi-Objective Optimization Strategy of Trajectory Planning for Unmanned Aerial Vehicles Considering Constraints of Safe Flight Corridors [J]. Journal of Shanghai Jiao Tong University, 2022, 56(8): 1024-1033.
[4]	LI Dechang, YANG Hualong, DUAN Jingru. A Joint Optimization of Vessel Scheduling and Refueling Strategy for Container Liner Shipping with Cooperative Agreements [J]. Journal of Shanghai Jiao Tong University, 2022, 56(7): 953-964.
[5]	YAN Qing, LU Jiansha, JIANG Weiguang, SHAO Yiping, TANG Hongtao, LI Yingde. Path Optimization of Stacker in Compact Storage System with Dual-Port Layout [J]. Journal of Shanghai Jiao Tong University, 2022, 56(7): 858-867.
[6]	OUYANG Xuyu, CHANG Haichao, LIU Zuyuan, FENG Baiwei, ZHAN Chengsheng, CHENG Xide. Application of Adaptive Sampling Method in Hull Form Optimization [J]. Journal of Shanghai Jiao Tong University, 2022, 56(7): 937-943.
[7]	FU Lia (傅莉), LONG Xia∗ (龙洗), HE Wenbinb (何文斌). Air Combat Assignment Problem Based on Bayesian Optimization Algorithm [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 799-805.
[8]	LI Shiqi (李世其), LI Xiao∗ (李肖), HAN Ke (韩可), XIONG Youjun (熊友军), XIE Zheng (谢铮), CHEN Jinliang (陈金亮). Path Planning and Optimization of Humanoid Manipulator in Cartesian Space [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(5): 614-620.
[9]	HUANG Yinghao1,2 (黄颖浩), WU Yi3 (吴怡), YAO Lixiu2 (姚莉秀), CAI Yunze1,2∗ (蔡云泽). A Class of Distributed Variable Structure Multiple Model Algorithm Based on Posterior Information of Information Matrix [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(5): 671-679.
[10]	WANG Xiaojian, HONG Jun, CHEN Jinghua, LI Hongguang. Weight Reduction Study of Box Structure Based on Parametric Modeling and Response Surface Optimization [J]. Air & Space Defense, 2022, 5(4): 60-66.
[11]	XU Shengguan, CHEN Hongquan, ZHANG Jiale, GAO Huanqin, JIA Xuesong. Study of the Efficient Global Optimization with High Accuracy and Its Applications in Aerodynamic [J]. Air & Space Defense, 2022, 5(3): 65-72.
[12]	LIU Jiea (刘洁), ZHANG Baojib∗ (张宝吉). Multiobjective Optimization of Hull Form Based on Global Optimization Algorithm [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(3): 346-355.
[13]	ZENG Bo, MU Hongwei, DONG Houqi, ZENG Ming. Optimization of Active Distribution Network Operation Considering Decarbonization Endowment from 5G Base Stations [J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 279-292.
[14]	MA Zhoujun, WANG Yong, WANG Jie, CHEN Shaoyu. A Dual Cooperative Optimization for Optimal Redundancy Quantity of MMC Submodules of Flexible Controller [J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 325-332.
[15]	WANG Ning, FU Yunpeng, LI Ting, LI Tie, YI Ping. Optimization of Control Scheme for Large Flow Seawater Cooling System Based on FloMaster-Simulink Co-Simulation [J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 379-385.