Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing

In the modern industry, in order to reduce the inventory pressure, a variety of parts began to use unified kind spare parts for maintenance. However, highly integrated equipment is more difficult to use traditional RCM models, and researchers begin to steering based on state monitoring methods. Deepen a prediction of equipment failure. This paper mainly discussed the data-driven analysis method based on the Wiener process to predict the fault law of the same type. The joint model innovatively adopts the (s-1, s) policy considering the industrial characteristic and multi-period resupply. In the end, we analyze (s-1, s) policy in joint optimization by comparison to draw the optimal policy combination.

Download Full-text

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107686 ◽

2021 ◽

pp. 107686

Author(s):

Jian-Xun Zhang ◽

Dang-Bo Du ◽

Xiao-Sheng Si ◽

Chang-Hua Hu ◽

Han-Wen Zhang

Keyword(s):

Inventory Management ◽

Preventive Maintenance ◽

Spare Parts ◽

Joint Optimization

Download Full-text

Improving effectiveness of spare parts supply by additive manufacturing as dual sourcing option

OR Spectrum ◽

10.1007/s00291-020-00608-7 ◽

2020 ◽

Cited By ~ 1

Author(s):

N. Knofius ◽

M. C. van der Heijden ◽

A. Sleptchenko ◽

W. H. M. Zijm

Keyword(s):

Additive Manufacturing ◽

Spare Parts ◽

Aviation Industry ◽

Failure Behavior ◽

Dual Sourcing ◽

Production Methods ◽

Holding Costs ◽

Unit Costs ◽

Single Sourcing ◽

Low Volume

Abstract The low-volume spare parts business is often identified as a potential beneficiary of additive manufacturing (AM) technologies. Currently, high AM unit costs or low AM part reliabilities deem the application of AM economical inferior to conventional manufacturing (CM) methods in most cases. In this paper, we investigate the potential to overcome these deficiencies by combining AM and CM methods. For that purpose, we develop an approach that is tailored toward the unique characteristics of dual sourcing with two production methods. Opposed to the traditional dual sourcing literature, we consider the different failure behavior of parts produced by AM and CM methods. Using numerical experiments and a case study in the aviation industry, we explore under which conditions dual sourcing with AM performs best. Single sourcing with AM methods typically leads to higher purchasing and maintenance costs while single sourcing with CM methods increases backorder and holding costs. Savings of more than 30% compared to the best single sourcing option are possible even if the reliability or unit costs of a part sourced with AM are three times worse than for a CM part. In conclusion, dual sourcing methods may play an important role to exploit the benefits of AM methods while avoiding its drawbacks in the low-volume spare parts business.

Download Full-text