Table of Contents
Journal of Industrial Engineering
Volume 2015 (2015), Article ID 843137, 7 pages
http://dx.doi.org/10.1155/2015/843137
Research Article

Developing an Inspection Optimization Model Based on the Delay-Time Concept

Department of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran

Received 24 March 2015; Revised 2 June 2015; Accepted 15 June 2015

Academic Editor: Anis Chelbi

Copyright © 2015 Ehsan Nazemi and Kamran Shahanaghi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Infrastructures are considered as important facilities required for every country and society to be able to work properly. Aging and deterioration of such structures during their lifetime are a major concern both for maintenance researchers in the academic world and for the practitioners. This concern is mainly because the deterioration increases the maintenance costs dramatically and lowers the reliability, availability, and safety of the structural system. Preventive maintenance and inspection activities are the most usual means for keeping the structure in a good condition. This paper utilizes the concept of delay-time for developing the optimal inspection policy for deteriorating structures. In the proposed stochastic model, discrete times of inspection activities are taken as the decision variables of an optimization problem, in a way that the obtained aperiodic (nonuniform) inspection schedule minimizes the total downtime ratio of the structure. To illustrate the model capabilities, various numerical examples are solved and results are compared with the traditional periodic (uniform) inspection policies. The results indicate the substantial reduction in system downtime due to the wisely planned inspection schedule and the appropriate utilization of delay-time concept, which is indeed a powerful framework for inspection optimization problems.