Abstract

With the increasing complexity and variety of production systems, more attention is being paid to preventive replacement on multicomponent systems. Each component is non-identical and has its own degradation process. In this paper, we propose a criticality importance-based spare ordering policy for a complex system, which consists of multiple series-parallel degrading components. Replacement action is triggered whenever the system reliability drops below a lower threshold and spares for replacement are available. Our policy mainly consists of two steps: (1) determine which components to be replaced; (2) determine when to order spares for components selected. In step 1, when the replacement action is triggered, we select components that most need to be replaced within the system in accordance with the optimum ranking of components until the system meets an upper reliability threshold. In step 2, a spare ordering policy for components selected is made and the optimal spare ordering time is obtained by minimizing the expected replacement cost during the once replacement cycle. Finally, a numerical example is given to illustrate the proposed multi-spare ordering policy. Moreover, the proposed policy is of significance for safety-critical systems such as substation automation system, bridge system, nuclear power plants and aerospace equipment.

Highlights

  • Maintenance plays an important role in industrial production and system safety, especially in areas where the loss of system failure is large

  • Whereas Nguyen, K-A., et al (2017) focused on preventive replacement (PR) threshold and ordering threshold of each component and Importance measures (IM) (Birnbaum’s structural importance) is used to reduce the number of decision parameters, we proceed to solve a multispare optimal ordering problem for components that most need to be replaced based on system reliability threshold and spares random lead time, and IM is used to select components that most need to be replaced within the system

  • We select the components that most need to be replaced within the system in accordance with the optimum ranking of components until the system reliability is improved above the upper threshold

Read more

Summary

Introduction

Maintenance plays an important role in industrial production and system safety, especially in areas where the loss of system failure is large. L., et al proposed a joint optimization of condition-based maintenance and spare ordering management for a single-component system [34]. Whereas Nguyen, K-A., et al (2017) focused on PR threshold and ordering threshold of each component and IM (Birnbaum’s structural importance) is used to reduce the number of decision parameters, we proceed to solve a multispare optimal ordering problem for components that most need to be replaced based on system reliability threshold and spares random lead time, and IM is used to select components that most need to be replaced within the system. It is of great importance to study the multi-spare ordering policy based on system reliability threshold and IM for solving the multi-component replacement of complex systems.

Problem statement
System reliability modeling
Components selection
Multi-spare ordering policy
A numerical example
Multi-spare ordering
Sensitive analyses of critical parameters
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call