Maintenance scheduling and process optimization under uncertainty

Vassiliadis, CG

doi:10.1016/S0098-1354(00)00647-5

Return

Maintenance scheduling and process optimization under uncertainty

2001-03-01

PRE

Vassiliadis, CG

Pistikopoulos, EN *

DOI：10.1016/S0098-1354(00)00647-5

Original

Original request for help

Save

Abstract

En 中文

In this gaper, we describe an optimization framework for (i) deriving optimal maintenance policies in continuous process operations in the presence of parametric uncertainty and (ii) analyzing and quantifying the impact of uncertainty on optimal maintenance schedules. A systems effectiveness measure is introduced which depends on expected process profitability and process and reliability/maintenance characteristics. A mixed integer nonlinear optimization model is proposed which aims at identifying the number of maintenance (preventive or corrective) actions required over a given time horizon of interest, the time instants and sequence of these maintenance actions on the various components of the process system, so that the system effectiveness is maximized. By introducing the concept of availability threshold values, it is shown that an efficient solution strategy can be established which requires the solution of much smaller nonlinear optimization problems. The application of the proposed framework to an example problem highlights the important interactions between process operation and maintenance scheduling in the presence of uncertainty. (C) 2001 Elsevier Science Ltd. All rights reserved.

Keywords:

process operation

reliability

maintenance

process uncertainty

optimization

system effectiveness

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.