Published August 2012 | Version v1
Journal article

Optimal integrated process control and maintenance under general deterioration

  • 1. Aristotle University of Thessaloniki, Department of Mechanical Engineering, 54124 Thessaloniki (Greece)

Description

We develop an integrated Statistical Process Control (SPC) and preventive maintenance (PM) model for three-state processes (two operational states and a non-operational failure state) taking into account the interrelation between quality degradation and proneness to complete failure. No restriction is placed on the distributions of the times to quality shifts and failures and different types of inspection policies and tools are allowed signifying a wide practical applicability of the model. The proposed scheme leads to significant economic improvement compared to: (a) independently obtained SPC and PM policies, which treat quality shifts and failures in isolation, and (b) approximate models, which assume Markovian deterioration. - Highlights: ► Joint statistical process control and maintenance procedures are considered. ► The random times to quality shifts and failures follow general distributions. ► The model combines minimal and perfect preventive maintenance actions. ► The economic effectiveness of the proposed integrated model is illustrated.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2012.03.019

Additional details

Identifiers

DOI
10.1016/j.ress.2012.03.019;
PII
S0951-8320(12)00053-1;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
104
Journal Issue
Complete
Journal Page Range
p. 58-70
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43093268
Subject category
S42: ENGINEERING;
Descriptors DEI
APPROXIMATIONS; FAILURES; INSPECTION; MAINTENANCE; MARKOV PROCESS; PROCESS CONTROL; RANDOMNESS
Descriptors DEC
CALCULATION METHODS; CONTROL; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.