Open AccessJoint Optimization of Condition-based Maintenance and Inventory Ordering Based on Status Monitoring for Multi-unit system
Author(s) -
Huayang Deng,
Quan Shi,
Yadong Wang
Publication year - 2021
Publication title -
revista internacional de métodos numéricos para cálculo y diseño en ingeniería
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 9
eISSN - 1886-158X
pISSN - 0213-1315
DOI - 10.23967/j.rimni.2021.10.005
Subject(s) - spare part , joint (building) , variety (cybernetics) , computer science , operations research , process (computing) , unit (ring theory) , order (exchange) , fault (geology) , state (computer science) , industrial engineering , reliability engineering , operations management , engineering , business , civil engineering , mathematics , artificial intelligence , algorithm , mathematics education , finance , seismology , geology , operating system
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.