Maintenance Optimization Of Equipment By Linear Programming

Authors:
Archana Jayakumar;Sohrab Asgarpoor
Affiliations:
Midwest ISO, Carmel, IN 46032;Electrical Engineering Department, University of Nebraska–Lincoln, Lincoln, NE 68588-0511, E-mail: sasgarpoor1@unl.edu
Venue:
Probability in the Engineering and Informational Sciences
Year:
2006

Citing 1
Cited 3

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Markov Decision Processes: Discrete Stochastic Dynamic Programming

Effect of polishing pad with holes in electro-chemical mechanical planarization

Microelectronic Engineering
Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair

Computers and Industrial Engineering
A new multi-objective particle swarm optimization algorithm for strategic planning of equipment maintenance

ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Optimal levels of preventive maintenance performed on any system ensures cost-effective and reliable operation of the system. In this paper a component with deterioration and random failure is modeled using Markov processes while incorporating the concept of minor and major preventive maintenance. The optimal mean times to preventive maintenance (both minor and major) of the component is determined by maximizing its availability with respect to mean time to preventive maintenance. Mathematical optimization programs Maple 7 and Lingo 7 are used to find the optimal solution, which is illustrated using a numerical example. Further, an optimal maintenance policy is obtained using Markov Decision Processes (MDPs). Linear Programming (LP) is utilized to implement the MDP problem.