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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (8): 1864-1873.doi: 10.7527/S1000-6893.2013.0072

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Joint Optimization of Maintenance and Inventory in Equipment Autonomic Logistics

XU Yuguo1,2, QIU Jing1, LIU Guanjun1   

  1. 1. Laboratory of Science and Technology on Integrated Logistics Support, College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;
    2. Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China
  • Received:2012-10-15 Revised:2013-01-21 Online:2013-08-25 Published:2013-02-18
  • Supported by:

    National Natural Science Foundation of China(51175502)

Abstract:

The core of an autonomic logistics system (ALS) is to accomplish optimal maintenance and support decision driven by the remaining useful life estimation (RULE) information under a networked logistics architecture, which can decrease life cycle cost and improve average operational availability. First, the characteristics of RULE and the operational mechanism of ALS are presented, and the cost generation mechanisms of equipment maintenance and spare part replenishment of ALS are analyzed. Then, a joint optimization model of maintenance and inventory based on RULE is proposed to minimize the long-term average cost rate. Finally the arithmetic for optimal logistics strategies is designed using Monte Carlo simulation methods which can measure the effect of miss detection rate and false alarm rate of RULE on logistics performance.

Key words: autonomic logistics, remaining useful life estimation, maintenance, inventory management, optimization, Monte Carlo simulation

CLC Number: