Journal of Quality in Maintenance Engineering: Volume 11 Issue 3

A discrete‐time order‐replacement model with time discounting and spare part provisioning

B.C. Giri, T. Dohi, N. Kaio

To determine the optimal spare part order‐replacement policy for any high cost single unit complex system in a discrete‐time circumstance.

A random shock model for a continuously deteriorating system

Kyung Eun Lim, Jee Seon Baek, Eui Yong Lee

A random shock model for a system whose state deteriorates continuously is introduced and stochastically analyzed. It is assumed in the model that the state of the system follows…

Optimal preventive maintenance policies for a shock model with given damage level

Cun Hua Qian, Kodo Ito, Toshio Nakagawa

This paper considers and discusses analytically the optimal preventive maintenance (PM) policies of aged plants such as fossil‐fired power plants.

An optimal policy for partially observable Markov decision processes with non‐independent monitors

Lu Jin, Tomoaki Mashita, Kazuyuki Suzuki

This research investigated the optimal structure of a discrete‐time Markov deterioration system monitored by multiple non‐independent monitors. The purpose is to obtain a…

SNEM: a new approach to evaluate terminal pair reliability of communication networks

Neeraj Kumar Goyal, Ravindra Babu Misra, Sanjay Kumar Chaturvedi

This paper proposes a new approach source node exclusion method (SNEM) to evaluate terminal pair reliability of complex communication networks.

Evaluating methods for the reliability of a three‐dimensional k‐within system

Tomoaki Akiba, Hisashi Yamamoto, Yasuhiro Tsujimura

For the considered system, an enumeration method is applicable to evaluate the exact system reliability only for very small‐sized systems, because, when the size of system is…

Fuzzy set‐valued and grey filtering statistical inferences on a system operating data

Renkuan Guo, Ernie Love

Intends to address a fundamental problem in maintenance engineering: how should the shutdown of a production system be scheduled? In this regard, intends to investigate a way to…

Failure rate prediction with artificial neural networks

Maurizio Bevilacqua, Marcello Braglia, Marco Frosolini, Roberto Montanari

To suggest that a multi layer perception based artificial neural network (MLP‐ANN) is a practical instrument to evaluate the expected failure rates of 143 centrifugal pumps used…